293 Data Engineering jobs in Seattle
Data Engineering Manager, Analytics
98127 Seattle, Washington
META
Posted 1 day ago
Job Viewed
Job Description
Summary:
We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, there will be a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.
Required Skills:
Data Engineering Manager, Analytics Responsibilities:
-
Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical
-
Build and lead a high-quality BI and Data Warehousing team, designing it to scale
-
Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs
-
Manage data warehouse plans, drive data quality, and ensure operational efficiency
-
Design, build, and launch new data models and pipelines in production
-
Deliver high-impact dashboards and data visualizations
-
Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production
-
Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies
Minimum Qualifications:
Minimum Qualifications:
-
A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
-
8+ years of experience in BI and Data Warehousing
-
Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
-
Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
-
Experience communicating results of analysis to executive leadership
-
Project management experience
-
Data architecture experience
-
Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
-
2+ years of experience managing people with experience scaling and managing 3+ person teams
-
Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
Preferred Qualifications:
Preferred Qualifications:
-
Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
-
Experience with Big Data, Hadoop, and Data visualization tools
-
Advanced degree (e.g.: Master of Science, PhD)
-
Experience working with user facing Products
Public Compensation:
$173,000/year to $242,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
0
Data Engineering Manager, Analytics
98005 Bellevue, Washington
Meta
Posted 7 days ago
Job Viewed
Job Description
**Summary:**
We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, there will be a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.
**Required Skills:**
Data Engineering Manager, Analytics Responsibilities:
1. Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical
2. Build and lead a high-quality BI and Data Warehousing team, designing it to scale
3. Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs
4. Manage data warehouse plans, drive data quality, and ensure operational efficiency
5. Design, build, and launch new data models and pipelines in production
6. Deliver high-impact dashboards and data visualizations
7. Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production
8. Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies
**Minimum Qualifications:**
Minimum Qualifications:
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. 8+ years of experience in BI and Data Warehousing
11. Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
12. Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
13. Experience communicating results of analysis to executive leadership
14. Project management experience
15. Data architecture experience
16. Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
17. 2+ years of experience managing people with experience scaling and managing 3+ person teams
18. Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
**Preferred Qualifications:**
Preferred Qualifications:
19. Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
20. Experience with Big Data, Hadoop, and Data visualization tools
21. Advanced degree (e.g.: Master of Science, PhD)
22. Experience working with user facing Products
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, there will be a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.
**Required Skills:**
Data Engineering Manager, Analytics Responsibilities:
1. Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical
2. Build and lead a high-quality BI and Data Warehousing team, designing it to scale
3. Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs
4. Manage data warehouse plans, drive data quality, and ensure operational efficiency
5. Design, build, and launch new data models and pipelines in production
6. Deliver high-impact dashboards and data visualizations
7. Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production
8. Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies
**Minimum Qualifications:**
Minimum Qualifications:
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. 8+ years of experience in BI and Data Warehousing
11. Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
12. Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
13. Experience communicating results of analysis to executive leadership
14. Project management experience
15. Data architecture experience
16. Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
17. 2+ years of experience managing people with experience scaling and managing 3+ person teams
18. Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
**Preferred Qualifications:**
Preferred Qualifications:
19. Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
20. Experience with Big Data, Hadoop, and Data visualization tools
21. Advanced degree (e.g.: Master of Science, PhD)
22. Experience working with user facing Products
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
1
Data Engineering Manager, Analytics
98194 Seattle, Washington
Meta
Posted 7 days ago
Job Viewed
Job Description
**Summary:**
We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, there will be a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.
**Required Skills:**
Data Engineering Manager, Analytics Responsibilities:
1. Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical
2. Build and lead a high-quality BI and Data Warehousing team, designing it to scale
3. Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs
4. Manage data warehouse plans, drive data quality, and ensure operational efficiency
5. Design, build, and launch new data models and pipelines in production
6. Deliver high-impact dashboards and data visualizations
7. Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production
8. Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies
**Minimum Qualifications:**
Minimum Qualifications:
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. 8+ years of experience in BI and Data Warehousing
11. Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
12. Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
13. Experience communicating results of analysis to executive leadership
14. Project management experience
15. Data architecture experience
16. Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
17. 2+ years of experience managing people with experience scaling and managing 3+ person teams
18. Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
**Preferred Qualifications:**
Preferred Qualifications:
19. Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
20. Experience with Big Data, Hadoop, and Data visualization tools
21. Advanced degree (e.g.: Master of Science, PhD)
22. Experience working with user facing Products
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, there will be a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.
**Required Skills:**
Data Engineering Manager, Analytics Responsibilities:
1. Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical
2. Build and lead a high-quality BI and Data Warehousing team, designing it to scale
3. Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs
4. Manage data warehouse plans, drive data quality, and ensure operational efficiency
5. Design, build, and launch new data models and pipelines in production
6. Deliver high-impact dashboards and data visualizations
7. Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production
8. Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies
**Minimum Qualifications:**
Minimum Qualifications:
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. 8+ years of experience in BI and Data Warehousing
11. Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
12. Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
13. Experience communicating results of analysis to executive leadership
14. Project management experience
15. Data architecture experience
16. Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
17. 2+ years of experience managing people with experience scaling and managing 3+ person teams
18. Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
**Preferred Qualifications:**
Preferred Qualifications:
19. Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
20. Experience with Big Data, Hadoop, and Data visualization tools
21. Advanced degree (e.g.: Master of Science, PhD)
22. Experience working with user facing Products
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
2
Data Engineering Manager, Analytics (Data Infrastructure)
98005 Bellevue, Washington
Meta
Posted 7 days ago
Job Viewed
Job Description
**Summary:**
We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, there will be a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.
**Required Skills:**
Data Engineering Manager, Analytics (Data Infrastructure) Responsibilities:
1. Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical
2. Build and lead a high-quality BI and Data Warehousing team, designing it to scale
3. Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs
4. Manage data warehouse plans, drive data quality, and ensure operational efficiency
5. Design, build, and launch new data models and pipelines in production
6. Deliver high-impact dashboards and data visualizations
7. Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production
8. Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies
**Minimum Qualifications:**
Minimum Qualifications:
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. 8+ years of experience in BI and Data Warehousing
11. Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
12. Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
13. Experience communicating results of analysis to executive leadership
14. Project management experience
15. Data architecture experience
16. Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
17. 2+ years of experience managing people with experience scaling and managing 3+ person teams
18. Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
**Preferred Qualifications:**
Preferred Qualifications:
19. Experience with data sets, Hadoop, and data visualization tools
20. Advanced degree in Computer Science, Math, Physics, or other technical fields
21. Experience with Privacy or Security Teams
22. Artificial intelligence or Internal Data Infrastructure Tooling Experience
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, there will be a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.
**Required Skills:**
Data Engineering Manager, Analytics (Data Infrastructure) Responsibilities:
1. Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical
2. Build and lead a high-quality BI and Data Warehousing team, designing it to scale
3. Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs
4. Manage data warehouse plans, drive data quality, and ensure operational efficiency
5. Design, build, and launch new data models and pipelines in production
6. Deliver high-impact dashboards and data visualizations
7. Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production
8. Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies
**Minimum Qualifications:**
Minimum Qualifications:
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. 8+ years of experience in BI and Data Warehousing
11. Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
12. Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
13. Experience communicating results of analysis to executive leadership
14. Project management experience
15. Data architecture experience
16. Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
17. 2+ years of experience managing people with experience scaling and managing 3+ person teams
18. Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
**Preferred Qualifications:**
Preferred Qualifications:
19. Experience with data sets, Hadoop, and data visualization tools
20. Advanced degree in Computer Science, Math, Physics, or other technical fields
21. Experience with Privacy or Security Teams
22. Artificial intelligence or Internal Data Infrastructure Tooling Experience
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
3
Data Engineering Manager, Analytics (Monetization)
98005 Bellevue, Washington
Meta
Posted 7 days ago
Job Viewed
Job Description
**Summary:**
We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, there will be a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.
**Required Skills:**
Data Engineering Manager, Analytics (Monetization) Responsibilities:
1. Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical
2. Build and lead a high-quality BI and Data Warehousing team, designing it to scale
3. Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs
4. Manage data warehouse plans, drive data quality, and ensure operational efficiency
5. Design, build, and launch new data models and pipelines in production
6. Deliver high-impact dashboards and data visualizations
7. Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production
8. Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies
**Minimum Qualifications:**
Minimum Qualifications:
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. 8+ years of experience in BI and Data Warehousing
11. Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
12. Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
13. Experience communicating results of analysis to executive leadership
14. Project management experience
15. Data architecture experience
16. Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
17. 2+ years of experience managing people with experience scaling and managing 3+ person teams
18. Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
**Preferred Qualifications:**
Preferred Qualifications:
19. Experience with data sets, Hadoop, and data visualization tools
20. Experience in a consumer web or mobile company
21. Advanced degree
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
We're looking for a leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support product launches and roadmaps by building the data architecture that informs and drives insight. In this role, there will be a direct link between your work, company growth, and user satisfaction. You'll work with some of the brightest minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.
**Required Skills:**
Data Engineering Manager, Analytics (Monetization) Responsibilities:
1. Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical
2. Build and lead a high-quality BI and Data Warehousing team, designing it to scale
3. Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs
4. Manage data warehouse plans, drive data quality, and ensure operational efficiency
5. Design, build, and launch new data models and pipelines in production
6. Deliver high-impact dashboards and data visualizations
7. Define and manage Service Level Agreements (SLAs) for all data sets and processes running in production
8. Drive efficiency and speed, project management leadership, and a vision for how BI can proactively improve companies
**Minimum Qualifications:**
Minimum Qualifications:
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. 8+ years of experience in BI and Data Warehousing
11. Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields
12. Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance
13. Experience communicating results of analysis to executive leadership
14. Project management experience
15. Data architecture experience
16. Experience with data querying languages (e.g. SQL) and development experience in at least one object-oriented language (Python, Java, etc.)
17. 2+ years of experience managing people with experience scaling and managing 3+ person teams
18. Experience working closely on cross-functional teams, including Data Engineering, Data Science, Software Engineering, and Product Management
**Preferred Qualifications:**
Preferred Qualifications:
19. Experience with data sets, Hadoop, and data visualization tools
20. Experience in a consumer web or mobile company
21. Advanced degree
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
4
Azure Databricks Data Engineering Lead
Seattle, Washington
5 Star Recruitment
Posted 3 days ago
Job Viewed
Job Description
Job Description
- 7+ years of experience in Databricks, Microsoft Azure, PySpark and Python.
- Lead large-scale, complex, cross-functional projects to build the technical roadmap for the WFM Data Services platform.
- Lead and review design artifacts.
- Build and own the automation and monitoring frameworks that showcase reliable, accurate, easy-to-understand metrics and operational KPIs to stakeholders for data pipeline quality.
- Execute proof of concept on new technology and tools to pick the best tools and solutions.
- Support business objectives by collaborating with business partners to identify opportunities and drive resolution.
- Communicate status and issues to Senior Starbucks leadership and stakeholders.
- Direct project team and cross-functional teams on all technical aspects of the projects.
- Lead with engineering team to build and support real-time, highly available data, data pipeline and technology capabilities.
- Translate strategic requirements into business requirements to ensure solutions meet business needs.
- Define and implement data retention policies and procedures.
- Define and implement data governance policies and procedures.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Enable team to pursue insights and applied breakthroughs, while also driving the solutions to Starbucks scale.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of structured and unstructured data sources using big data technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Perform root cause analysis to identify permanent resolutions to software or business process issues.
MUST HAVE:
- 7+ years of experience in Databricks, Microsoft Azure, PySpark and Python.
Apply Now
5
Data Engineer II, GSF , UTR Data engineering Team
98005 Bellevue, Washington
Amazon
Posted 5 days ago
Job Viewed
Job Description
Description
Amazon's Under The Roof Data Engineering team supports workforce planning operations across 2200+ sites in North America and Europe, managing data infrastructure for Amazon's most innovative business lines. We are recruiting a data engineer to join our team as we build next-generation labor planning solutions that combine robust data infrastructure with intelligent automation. You will get the opportunity to work collaboratively with a variety of stakeholders, including Software Engineers, Applied Scientists, Data Scientists, and our customers while contributing to next-generation initiatives including AI-powered labor planning agents, modern data lake architectures, and self-service experimentation platforms that are reshaping how Amazon approaches workforce optimization.
The ideal candidate will demonstrate strong data engineering skills and show curiosity to understand the business context of their work. You will have the opportunity to work on innovative AI projects including natural language processing agents for labor planning inputs, knowledge graph implementations for enhanced data discovery, and LLM-powered automation tools. The candidate will have attention to detail, be proficient in SQL/DWH/Python and solve data and reporting challenges with guidance from senior team members. The role requires good communication skills and the ability to work effectively with other functional teams in a fast-paced innovation environment.
Key job responsibilities
* Contribute to the development of AI-powered labor planning solutions, including conversational agents that enable natural language interaction with planning data and LLM-driven incident response automation.
* Support the implementation of knowledge graph platforms using AWS Neptune and declarative metrics engines that power next-generation analytics applications.
* Participate in the migration of our data lake to Apache Iceberg format, implementing modern table formats that enable sub-minute metric latency and enhanced query performance for AI workloads.
* Work with next-generation AWS services including ECS, EMR, S3, Glue, Redshift, and emerging AI services like Bedrock to build scalable data solutions that support both traditional analytics and intelligent applications.
* Collaborate on the development of self-service experimentation platforms, enabling science and guidance teams to independently test and deploy machine learning models with automated data integration.
* Contribute to AI-driven data augmentation capabilities, implementing intelligent data imputation techniques and synthetic data generation that extends planning horizons from 26 to 52 weeks.
* Support near real-time data domain implementations for core labor planning inputs including roster, attendance, and attrition data, sourced directly from systems of record.
* Interface with technology teams to build robust data pipelines that support both human decision-making and AI agent interactions, ensuring data quality through automated validation and monitoring.
* Learn and adopt the latest AWS AI/ML technologies and open-source semantic layer frameworks to provide new capabilities that bridge traditional data engineering with modern intelligent architectures.
* Collaborate with and support Business Intelligence Engineers and AI/ML teams by implementing best practices in data infrastructure that enables both reporting workflows and conversational analytics experiences.
* Work with stakeholders to understand evolving business questions in an AI-enhanced environment and implement scalable data solutions that support both traditional planning tools and innovative agent-based interfaces.
* Support and improve ongoing processes through automation, contributing to reducing manual touch points by 50% while enabling intelligent, context-aware decision support systems.
Basic Qualifications
- 5+ years of data engineering experience
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience working on and delivering end to end projects independently
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Preferred Qualifications
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Deep understanding of the full lifecycle from data generation to the end-user application. Experience in design, implement, and maintain analytical and ML Ops, Agentic AI infrastructure to support business-critical Products, analytics such as operational reporting, forecasts, causal analysis, and operational health monitoring.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Amazon's Under The Roof Data Engineering team supports workforce planning operations across 2200+ sites in North America and Europe, managing data infrastructure for Amazon's most innovative business lines. We are recruiting a data engineer to join our team as we build next-generation labor planning solutions that combine robust data infrastructure with intelligent automation. You will get the opportunity to work collaboratively with a variety of stakeholders, including Software Engineers, Applied Scientists, Data Scientists, and our customers while contributing to next-generation initiatives including AI-powered labor planning agents, modern data lake architectures, and self-service experimentation platforms that are reshaping how Amazon approaches workforce optimization.
The ideal candidate will demonstrate strong data engineering skills and show curiosity to understand the business context of their work. You will have the opportunity to work on innovative AI projects including natural language processing agents for labor planning inputs, knowledge graph implementations for enhanced data discovery, and LLM-powered automation tools. The candidate will have attention to detail, be proficient in SQL/DWH/Python and solve data and reporting challenges with guidance from senior team members. The role requires good communication skills and the ability to work effectively with other functional teams in a fast-paced innovation environment.
Key job responsibilities
* Contribute to the development of AI-powered labor planning solutions, including conversational agents that enable natural language interaction with planning data and LLM-driven incident response automation.
* Support the implementation of knowledge graph platforms using AWS Neptune and declarative metrics engines that power next-generation analytics applications.
* Participate in the migration of our data lake to Apache Iceberg format, implementing modern table formats that enable sub-minute metric latency and enhanced query performance for AI workloads.
* Work with next-generation AWS services including ECS, EMR, S3, Glue, Redshift, and emerging AI services like Bedrock to build scalable data solutions that support both traditional analytics and intelligent applications.
* Collaborate on the development of self-service experimentation platforms, enabling science and guidance teams to independently test and deploy machine learning models with automated data integration.
* Contribute to AI-driven data augmentation capabilities, implementing intelligent data imputation techniques and synthetic data generation that extends planning horizons from 26 to 52 weeks.
* Support near real-time data domain implementations for core labor planning inputs including roster, attendance, and attrition data, sourced directly from systems of record.
* Interface with technology teams to build robust data pipelines that support both human decision-making and AI agent interactions, ensuring data quality through automated validation and monitoring.
* Learn and adopt the latest AWS AI/ML technologies and open-source semantic layer frameworks to provide new capabilities that bridge traditional data engineering with modern intelligent architectures.
* Collaborate with and support Business Intelligence Engineers and AI/ML teams by implementing best practices in data infrastructure that enables both reporting workflows and conversational analytics experiences.
* Work with stakeholders to understand evolving business questions in an AI-enhanced environment and implement scalable data solutions that support both traditional planning tools and innovative agent-based interfaces.
* Support and improve ongoing processes through automation, contributing to reducing manual touch points by 50% while enabling intelligent, context-aware decision support systems.
Basic Qualifications
- 5+ years of data engineering experience
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience working on and delivering end to end projects independently
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Preferred Qualifications
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Deep understanding of the full lifecycle from data generation to the end-user application. Experience in design, implement, and maintain analytical and ML Ops, Agentic AI infrastructure to support business-critical Products, analytics such as operational reporting, forecasts, causal analysis, and operational health monitoring.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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6
Sr. Electrical Engineer, Data Center Engineering
98194 Seattle, Washington
Amazon
Posted 7 days ago
Job Viewed
Job Description
Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon Web Services is seeking a Senior Electrical Engineer to become part of a global engineering team, responsible for the implementation and technical evaluation of our designs and the continuous innovation of our rapidly expanding data center footprint.
Engineers at Amazon:
Work to design resilient, cost effective electrical distribution systems. Are responsible for achieving a world-class uptime for our customers. They justify and communicate the technical decisions we make to Sr. Management and work hard to drive continuous advancements and improvements with our designs. They drive change and define/design the systems our customers rely on.
They have hands on electrical design and field experience and can design and operate electrical systems, have an understanding of the critical equipment needs for a data center, and understand the constructability of varying designs. As we grow, we are structuring our team to own more of our engineering in house. At Amazon, teamwork is absolutely necessary for us to accomplish our goals. You must be able to work within a team and depend on others to accomplish the required work. As an electrical engineer at Amazon, you will be working with other internal groups as well as external groups including utilities, manufacturers, vendors, and contractors.
As an Engineer in this role, you will work with the Principals and Senior Electrical Engineers to drive the standardization of designs across the global region in production data centers and resolve open technical issues in the electrical space. You will participate in the research and development of new technologies and designs applicable to our products or services. Relied on as a subject matter expert in the electrical engineering field, you write technical documentation for such projects. You also get to TRAVEL! International support will be part of the job, and some international travel will be necessary and should be no more than 30%.
Your tasks include conceiving, initiating and leading projects with widespread impact on infrastructure design, innovation and implementation. You will achieve this by breaking down complex problems into straightforward and actionable solutions. This will be achieved by working with internal teams to understand user requirements and challenges as well as collaborating with teams or individuals from other disciplines, cultures and countries. You will escalate issues as required and communicate clearly and effectively at the appropriate level of detail with people from a wide range of technical abilities and backgrounds.
Part of the role will also include the review and approval of critical equipment submittals including vendor Witness Tests, provide technical support on global Large Scale Events (LSE's), including participation on deep dives, investigations and recommendations on mitigation plans. You will also be expected to maintain and host technical electrical forums to provide a collaborative environment for development of datacenter electrical systems.
As well as provide support and mentorship for the whole of the DCC engineering community, all while having fun and offering creative, out of the box solutions.
Key job responsibilities
Under the direction of an engineering manager, the Electrical Engineer will be responsible for the following:
- Conceives initiates and leads projects with widespread impact on infrastructure design, innovation and implementation.
- Decompose complex problems into straightforward and actionable solutions.
- Work with internal teams to understand user requirements and challenges.
- Collaborate with teams or individuals from other disciplines, cultures and countries.
- Escalate issues as required and communicate clearly and effectively at the appropriate level of detail with people from a wide range of technical abilities and backgrounds.
- Produce clear and concise documentation such as detailed design specifications, white papers, wiring schematics and diagrams, and reports.
- Understand and safeguard implementation of the Global Electrical Basis of Design (BoD) with constant auditing.
- Drive standardization in the data center electrical designs.
- Development of strategic solutions, which meet or exceed our quality requirements and fall within our budgetary requirements.
- Capture requirements and turn aspirational company or customer goals into well-defined, achievable and testable specifications and solutions.
- Define project scope and provide technical support for information requests prior to, and during innovation and research and development projects.
- Work with regional vendors and manufacturers to specify the appropriate electrical equipment.
- Review and approval of critical equipment submittals including vendor Witness Tests.
- Provide technical support on global Large Scale Events (LSE's), including participation on deep dives, investigations and recommendations on mitigation plans.
- Ability to work on concurrent projects in multiple geographical regions.
- Maintain and host technical electrical forums to provide a collaborative environment for development of datacenter electrical systems.
- Provide support and mentorship for the whole of the Data Center Engineering community.
- Having fun and offering creative, out of the box solutions.
About the team
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Bachelor's degree in Electrical Engineering
- 8+ years experience in industrial or commercial electrical design with 5+ years specific in mission critical experience.
- Working knowledge of BIM and Revit
Preferred Qualifications
- Cumulative 7+ year of experience with industrial or commercial electrical design. 3+ year of experience directly related to data center or mission critical facility design.
- Excellent understanding of applicable regional electrical code (NEC, CEC, ETCI, NF C, etc). In depth understanding of critical data center electrical equipment.
- In-depth understanding of critical data center electrical equipment. Controls experience and in-depth controls knowledge. Experience managing supplier relationships in construction projects
- Ability to research new designs, technologies, and construction methods of data center equipment and facilities. Ability to carry new design concepts through exploration, development, and into deployment/construction. Familiarity with medium voltage distribution systems design. Detailed understanding of uninterruptable power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, and automatic/static transfer switches.
- Direct experience with the construction, operation, or maintenance of data centers as well as basic understanding of mechanical equipment and system design. Experience with fast track design/build projects and or multiple significant upgrade project for large-scale technical operations or large-scale compute farms.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon Web Services is seeking a Senior Electrical Engineer to become part of a global engineering team, responsible for the implementation and technical evaluation of our designs and the continuous innovation of our rapidly expanding data center footprint.
Engineers at Amazon:
Work to design resilient, cost effective electrical distribution systems. Are responsible for achieving a world-class uptime for our customers. They justify and communicate the technical decisions we make to Sr. Management and work hard to drive continuous advancements and improvements with our designs. They drive change and define/design the systems our customers rely on.
They have hands on electrical design and field experience and can design and operate electrical systems, have an understanding of the critical equipment needs for a data center, and understand the constructability of varying designs. As we grow, we are structuring our team to own more of our engineering in house. At Amazon, teamwork is absolutely necessary for us to accomplish our goals. You must be able to work within a team and depend on others to accomplish the required work. As an electrical engineer at Amazon, you will be working with other internal groups as well as external groups including utilities, manufacturers, vendors, and contractors.
As an Engineer in this role, you will work with the Principals and Senior Electrical Engineers to drive the standardization of designs across the global region in production data centers and resolve open technical issues in the electrical space. You will participate in the research and development of new technologies and designs applicable to our products or services. Relied on as a subject matter expert in the electrical engineering field, you write technical documentation for such projects. You also get to TRAVEL! International support will be part of the job, and some international travel will be necessary and should be no more than 30%.
Your tasks include conceiving, initiating and leading projects with widespread impact on infrastructure design, innovation and implementation. You will achieve this by breaking down complex problems into straightforward and actionable solutions. This will be achieved by working with internal teams to understand user requirements and challenges as well as collaborating with teams or individuals from other disciplines, cultures and countries. You will escalate issues as required and communicate clearly and effectively at the appropriate level of detail with people from a wide range of technical abilities and backgrounds.
Part of the role will also include the review and approval of critical equipment submittals including vendor Witness Tests, provide technical support on global Large Scale Events (LSE's), including participation on deep dives, investigations and recommendations on mitigation plans. You will also be expected to maintain and host technical electrical forums to provide a collaborative environment for development of datacenter electrical systems.
As well as provide support and mentorship for the whole of the DCC engineering community, all while having fun and offering creative, out of the box solutions.
Key job responsibilities
Under the direction of an engineering manager, the Electrical Engineer will be responsible for the following:
- Conceives initiates and leads projects with widespread impact on infrastructure design, innovation and implementation.
- Decompose complex problems into straightforward and actionable solutions.
- Work with internal teams to understand user requirements and challenges.
- Collaborate with teams or individuals from other disciplines, cultures and countries.
- Escalate issues as required and communicate clearly and effectively at the appropriate level of detail with people from a wide range of technical abilities and backgrounds.
- Produce clear and concise documentation such as detailed design specifications, white papers, wiring schematics and diagrams, and reports.
- Understand and safeguard implementation of the Global Electrical Basis of Design (BoD) with constant auditing.
- Drive standardization in the data center electrical designs.
- Development of strategic solutions, which meet or exceed our quality requirements and fall within our budgetary requirements.
- Capture requirements and turn aspirational company or customer goals into well-defined, achievable and testable specifications and solutions.
- Define project scope and provide technical support for information requests prior to, and during innovation and research and development projects.
- Work with regional vendors and manufacturers to specify the appropriate electrical equipment.
- Review and approval of critical equipment submittals including vendor Witness Tests.
- Provide technical support on global Large Scale Events (LSE's), including participation on deep dives, investigations and recommendations on mitigation plans.
- Ability to work on concurrent projects in multiple geographical regions.
- Maintain and host technical electrical forums to provide a collaborative environment for development of datacenter electrical systems.
- Provide support and mentorship for the whole of the Data Center Engineering community.
- Having fun and offering creative, out of the box solutions.
About the team
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Bachelor's degree in Electrical Engineering
- 8+ years experience in industrial or commercial electrical design with 5+ years specific in mission critical experience.
- Working knowledge of BIM and Revit
Preferred Qualifications
- Cumulative 7+ year of experience with industrial or commercial electrical design. 3+ year of experience directly related to data center or mission critical facility design.
- Excellent understanding of applicable regional electrical code (NEC, CEC, ETCI, NF C, etc). In depth understanding of critical data center electrical equipment.
- In-depth understanding of critical data center electrical equipment. Controls experience and in-depth controls knowledge. Experience managing supplier relationships in construction projects
- Ability to research new designs, technologies, and construction methods of data center equipment and facilities. Ability to carry new design concepts through exploration, development, and into deployment/construction. Familiarity with medium voltage distribution systems design. Detailed understanding of uninterruptable power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, and automatic/static transfer switches.
- Direct experience with the construction, operation, or maintenance of data centers as well as basic understanding of mechanical equipment and system design. Experience with fast track design/build projects and or multiple significant upgrade project for large-scale technical operations or large-scale compute farms.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
View Now
7
Senior Manager - Data Engineering and Business Analytics , CDSA - Capacity Delivery, Supportabili...
98194 Seattle, Washington
Amazon
Posted 7 days ago
Job Viewed
Job Description
Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The AWS Capacity Delivery, Supportability and Analytics Team (CDSA) team within AIS is looking for a Sr. Manager - Data Engineering and Business Analytics. The CDSA team is responsible for infrastructure supply and demand strategy for AWS's global GenAI and non-GenAI infrastructure footprint spanning 105 availability zones, 33 geographical regions and serving over 245 countries and territories. The team drives compute and datacenter supply planning, infrastructure capacity delivery and GenAI supportability to ensure scalable cloud services for millions of AWS customers.
Data-driven decision-making is at the core of Amazon's culture. Your work will directly impact the decisions and strategy of the entire AIS org and our customers. We are looking for a Sr. Manager - Data Engineering and Business Analytics to drive the data infrastructure and business intelligence solutions for AWS supply planning, capacity delivery and GenAI supportability. You will be responsible for managing teams that build and maintain our Data Lake and Data Warehouse Systems, which is being built using a serverless architecture, with native AWS components including Redshift Spectrum, Athena, S3, Lambda, Glue, EMR, Kinesis, SNS, CloudWatch and more. You will also be responsible for building new business intelligence solutions end-to-end. You will create reporting and analysis that the business will use to measure all aspects of operational performance and cost, and drive both incremental improvement to existing tools and processes and large-scale changes in our tools, user interfaces, processes and overall business organization. The successful candidate will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, strong communication skills, executive presence and an ability to work effectively with cross functional teams in a fast-paced environment and highly ambiguous work space.
The charter will involve managing diverse teams of business intelligence engineers, data engineers and system development engineers. You are an experienced leader who will have demonstrated leading large cross-functional and cross-organizational projects. An ability to take large, technically complex projects and break them down into manageable pieces, develop actionable plans and successfully deliver them are expected. This role is inherently cross-functional and requires the ability to think big and collaborate with others as you work closely with teams across AWS Infrastructure. The shifting constraints and critical nature of the role requires someone who maintains momentum, clarity of vision and adaptability while communicating effectively across a diverse set of customers, partners and leadership. Communication with executive audiences is a regular occurrence. High judgment, negotiation skills, ability to influence without authority, analytical talent, technical aptitude, and leadership are therefore essential for success in this role.
Key job responsibilities
- Guide data engineering, business intelligence engineering and system engineering teams on implementing the systems and datasets required for the various elements of the supply planning, capacity delivery and Gen
AI supportability processes, while also directly managing/dialing in new programs until such a time as it makes sense to automate.
- Create product strategy and feature roadmap via Amazon Working Backwards documents.
- Provide thought-leadership to Amazon leadership and business partners, delivering solutions to strategic problems.
- Communicate performance against goals and objectives through narratives and business reviews.
- Lead broader initiatives, as assigned, to further advance the effectiveness of the organization.
- Manage a data engineering, business intelligence engineering and system engineering team of 50About the team
*Why AWS*
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
*Diverse Experiences*
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
*Work/Life Balance*
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
*Inclusive Team Culture*
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
*Mentorship and Career Growth*
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Bachelor's degree in a quantitative area such as math, statistics, computer science, engineering or equivalent experience
- 10+ years of experience in analytics, data engineering, market research or related field
- 10+ years experience owning/driving roadmap strategy and definition
- Experience managing and hiring a team of data engineers, business intelligence engineers, business analysts
- Proficient in working with large-scale, complex datasets from multiple sources.
Preferred Qualifications
- Experience in designing and delivering cross functional custom reporting solutions.
- Advanced skills in Excel as well as any data visualization tools like Amazon Quick Sight, Tableau, or similar BI tools.
- Experienced in ETL, data modeling and big data tools.
- Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders.
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $182,100/year in our lowest geographic market up to $314,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The AWS Capacity Delivery, Supportability and Analytics Team (CDSA) team within AIS is looking for a Sr. Manager - Data Engineering and Business Analytics. The CDSA team is responsible for infrastructure supply and demand strategy for AWS's global GenAI and non-GenAI infrastructure footprint spanning 105 availability zones, 33 geographical regions and serving over 245 countries and territories. The team drives compute and datacenter supply planning, infrastructure capacity delivery and GenAI supportability to ensure scalable cloud services for millions of AWS customers.
Data-driven decision-making is at the core of Amazon's culture. Your work will directly impact the decisions and strategy of the entire AIS org and our customers. We are looking for a Sr. Manager - Data Engineering and Business Analytics to drive the data infrastructure and business intelligence solutions for AWS supply planning, capacity delivery and GenAI supportability. You will be responsible for managing teams that build and maintain our Data Lake and Data Warehouse Systems, which is being built using a serverless architecture, with native AWS components including Redshift Spectrum, Athena, S3, Lambda, Glue, EMR, Kinesis, SNS, CloudWatch and more. You will also be responsible for building new business intelligence solutions end-to-end. You will create reporting and analysis that the business will use to measure all aspects of operational performance and cost, and drive both incremental improvement to existing tools and processes and large-scale changes in our tools, user interfaces, processes and overall business organization. The successful candidate will demonstrate strong business acumen, experience in developing reporting and analytical infrastructures, strong communication skills, executive presence and an ability to work effectively with cross functional teams in a fast-paced environment and highly ambiguous work space.
The charter will involve managing diverse teams of business intelligence engineers, data engineers and system development engineers. You are an experienced leader who will have demonstrated leading large cross-functional and cross-organizational projects. An ability to take large, technically complex projects and break them down into manageable pieces, develop actionable plans and successfully deliver them are expected. This role is inherently cross-functional and requires the ability to think big and collaborate with others as you work closely with teams across AWS Infrastructure. The shifting constraints and critical nature of the role requires someone who maintains momentum, clarity of vision and adaptability while communicating effectively across a diverse set of customers, partners and leadership. Communication with executive audiences is a regular occurrence. High judgment, negotiation skills, ability to influence without authority, analytical talent, technical aptitude, and leadership are therefore essential for success in this role.
Key job responsibilities
- Guide data engineering, business intelligence engineering and system engineering teams on implementing the systems and datasets required for the various elements of the supply planning, capacity delivery and Gen
AI supportability processes, while also directly managing/dialing in new programs until such a time as it makes sense to automate.
- Create product strategy and feature roadmap via Amazon Working Backwards documents.
- Provide thought-leadership to Amazon leadership and business partners, delivering solutions to strategic problems.
- Communicate performance against goals and objectives through narratives and business reviews.
- Lead broader initiatives, as assigned, to further advance the effectiveness of the organization.
- Manage a data engineering, business intelligence engineering and system engineering team of 50About the team
*Why AWS*
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
*Diverse Experiences*
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
*Work/Life Balance*
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
*Inclusive Team Culture*
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
*Mentorship and Career Growth*
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Bachelor's degree in a quantitative area such as math, statistics, computer science, engineering or equivalent experience
- 10+ years of experience in analytics, data engineering, market research or related field
- 10+ years experience owning/driving roadmap strategy and definition
- Experience managing and hiring a team of data engineers, business intelligence engineers, business analysts
- Proficient in working with large-scale, complex datasets from multiple sources.
Preferred Qualifications
- Experience in designing and delivering cross functional custom reporting solutions.
- Advanced skills in Excel as well as any data visualization tools like Amazon Quick Sight, Tableau, or similar BI tools.
- Experienced in ETL, data modeling and big data tools.
- Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders.
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $182,100/year in our lowest geographic market up to $314,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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8
PSTP - Principal, Clinical Data Architecture
98194 Seattle, Washington
University of Washington
Posted 5 days ago
Job Viewed
Job Description
**Job Description**
**UW MEDICINE IT SERVICES** has an outstanding job opportunity for a **Principal, Clinical Data Architecture** position.
**WORK SCHEDULE**
+ TEMPORARY - 5-20 hours per week
+ Day Shift - UW MEDICINE ITS SERVICES CORE HOURS ARE 08:00 - 17:00 (PST), Monday-Friday
**DEPARTMENT DESCRIPTION**
**UW Medicine IT Services (ITS)** is a shared services organization that supports all of UW Medicine. UW Medicine is comprised of Harborview Medical Center (HMC), UW Medical Center-Montlake Campus (UWMC-Montlake), UW Medical Center-Northwest Campus (UWMC-NW), Valley Medical Center (VMC), UW Medicine Primary Care (UWMPC), UW Physicians (UWP), UW School of Medicine (SOM), and Airlift Northwest (ALNW). ITS is responsible for the ongoing support and maintenance of the infrastructure and applications which support all these institutions, along with the implementation of new services and applications that are used to support and further the UW Medicine mission.
**POSITION HIGHLIGHTS**
+ Remote opportunity
+ Values-based work environment
**PRIMARY JOB RESPONSIBILITIES**
+ Provide a high level of expertise in assigned domains
+ Strategize, develop, enhance, and govern architectural standards
+ Manage technical portfolios, research trends, create 1-3-5 year technology roadmaps, and present recommendations to leadership
+ Optimize the use of technologies and perform cost analysis
+ Leverage technical expertise in impactful, enterprise-level projects
+ Develop and deliver training across the department in area of expertise
+ Lead large scale incident resolution
+ Identify and build service management improvements
+ Provide advice, coaching, and mentorship to team members on technical expertise
+ Serve as the manager's delegate to represent the team for vendor management, including strategic vendor meetings, architecture meetings, meetings with technical account managers, project design meetings, large scale incident resolution, and other technical leadership needs
**REQUIREMENTS**
+ Bachelor's degree in Computer Science, Information Technology, Business Administration, or related field or equivalent education and/or experience
+ **8+ years of overall experience to include:**
+ 8+ years of experience with administering systems, including 4+ years of experience administering systems that support critical operations
+ 2+ years of experience developing and leading technical trainings for teams, and mentoring less experienced technical staff members
+ 6+ years of experience providing advanced support for the overall health of enterprise systems and technologies
+ 2+ years of experience primarily responsible for an enterprise technology
+ 1+ years of managing vendor relationships, including negotiating maintenance contracts, reviewing periodic service reviews, and coordinating escalations
+ 1+ years of implementing and improving processes
+ Active member in local technology user groups and/or other professional organizations related to area of expertise
+ Demonstrated experience creating and maintaining detailed documentation, including standard operating procedures, system diagrams, and any other technical documentation
+ 1+ years of managing technical requirements of an enterprise system
**ABOUT UW MEDICINE - WHERE YOUR IMPACT GOES FURTHER**
UW Medicine is Washington's only health system that includes a top-rated medical school and an internationally recognized research center. UW Medicine's mission is to improve the health of the public by advancing medical knowledge, providing outstanding primary and specialty care to the people of the region, and preparing tomorrow's physicians, scientists and other health professionals.
All across UW Medicine, our employees collaborate to perform the highest quality work with integrity and compassion and to create a respectful, welcoming environment where every patient, family, student and colleague is valued and honored. Nearly 29,000 healthcare professionals, researchers, and educators work in the UW Medicine family of organizations that includes: Harborview Medical Center, UW Medical Center - Montlake, UW Medical Center - Northwest, Valley Medical Center, UW Medicine Primary Care, UW Physicians, UW School of Medicine, and Airlift Northwest.
Become part of our team ( . Join our mission to make life healthier for everyone in our community.
**Compensation, Benefits and Position Details**
**Pay Range Minimum:**
$85.00 hourly
**Pay Range Maximum:**
$85.00 hourly
**Other Compensation:**
-
**Benefits:**
For information about benefits for this position, visit Shift (United States of America)
**Temporary or Regular?**
This is a temporary position
**FTE (Full-Time Equivalent):**
0.00%
**Union/Bargaining Unit:**
Not Applicable
**About the UW**
Working at the University of Washington provides a unique opportunity to change lives - on our campuses, in our state and around the world.
UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
**Our Commitment**
The University of Washington is proud to be an affirmative action and equal opportunity employer ( . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.
To request disability accommodation in the application process, contact the Disability Services Office at or .
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law ( .
University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.
**UW MEDICINE IT SERVICES** has an outstanding job opportunity for a **Principal, Clinical Data Architecture** position.
**WORK SCHEDULE**
+ TEMPORARY - 5-20 hours per week
+ Day Shift - UW MEDICINE ITS SERVICES CORE HOURS ARE 08:00 - 17:00 (PST), Monday-Friday
**DEPARTMENT DESCRIPTION**
**UW Medicine IT Services (ITS)** is a shared services organization that supports all of UW Medicine. UW Medicine is comprised of Harborview Medical Center (HMC), UW Medical Center-Montlake Campus (UWMC-Montlake), UW Medical Center-Northwest Campus (UWMC-NW), Valley Medical Center (VMC), UW Medicine Primary Care (UWMPC), UW Physicians (UWP), UW School of Medicine (SOM), and Airlift Northwest (ALNW). ITS is responsible for the ongoing support and maintenance of the infrastructure and applications which support all these institutions, along with the implementation of new services and applications that are used to support and further the UW Medicine mission.
**POSITION HIGHLIGHTS**
+ Remote opportunity
+ Values-based work environment
**PRIMARY JOB RESPONSIBILITIES**
+ Provide a high level of expertise in assigned domains
+ Strategize, develop, enhance, and govern architectural standards
+ Manage technical portfolios, research trends, create 1-3-5 year technology roadmaps, and present recommendations to leadership
+ Optimize the use of technologies and perform cost analysis
+ Leverage technical expertise in impactful, enterprise-level projects
+ Develop and deliver training across the department in area of expertise
+ Lead large scale incident resolution
+ Identify and build service management improvements
+ Provide advice, coaching, and mentorship to team members on technical expertise
+ Serve as the manager's delegate to represent the team for vendor management, including strategic vendor meetings, architecture meetings, meetings with technical account managers, project design meetings, large scale incident resolution, and other technical leadership needs
**REQUIREMENTS**
+ Bachelor's degree in Computer Science, Information Technology, Business Administration, or related field or equivalent education and/or experience
+ **8+ years of overall experience to include:**
+ 8+ years of experience with administering systems, including 4+ years of experience administering systems that support critical operations
+ 2+ years of experience developing and leading technical trainings for teams, and mentoring less experienced technical staff members
+ 6+ years of experience providing advanced support for the overall health of enterprise systems and technologies
+ 2+ years of experience primarily responsible for an enterprise technology
+ 1+ years of managing vendor relationships, including negotiating maintenance contracts, reviewing periodic service reviews, and coordinating escalations
+ 1+ years of implementing and improving processes
+ Active member in local technology user groups and/or other professional organizations related to area of expertise
+ Demonstrated experience creating and maintaining detailed documentation, including standard operating procedures, system diagrams, and any other technical documentation
+ 1+ years of managing technical requirements of an enterprise system
**ABOUT UW MEDICINE - WHERE YOUR IMPACT GOES FURTHER**
UW Medicine is Washington's only health system that includes a top-rated medical school and an internationally recognized research center. UW Medicine's mission is to improve the health of the public by advancing medical knowledge, providing outstanding primary and specialty care to the people of the region, and preparing tomorrow's physicians, scientists and other health professionals.
All across UW Medicine, our employees collaborate to perform the highest quality work with integrity and compassion and to create a respectful, welcoming environment where every patient, family, student and colleague is valued and honored. Nearly 29,000 healthcare professionals, researchers, and educators work in the UW Medicine family of organizations that includes: Harborview Medical Center, UW Medical Center - Montlake, UW Medical Center - Northwest, Valley Medical Center, UW Medicine Primary Care, UW Physicians, UW School of Medicine, and Airlift Northwest.
Become part of our team ( . Join our mission to make life healthier for everyone in our community.
**Compensation, Benefits and Position Details**
**Pay Range Minimum:**
$85.00 hourly
**Pay Range Maximum:**
$85.00 hourly
**Other Compensation:**
-
**Benefits:**
For information about benefits for this position, visit Shift (United States of America)
**Temporary or Regular?**
This is a temporary position
**FTE (Full-Time Equivalent):**
0.00%
**Union/Bargaining Unit:**
Not Applicable
**About the UW**
Working at the University of Washington provides a unique opportunity to change lives - on our campuses, in our state and around the world.
UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
**Our Commitment**
The University of Washington is proud to be an affirmative action and equal opportunity employer ( . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.
To request disability accommodation in the application process, contact the Disability Services Office at or .
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law ( .
University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, religion, color, national origin, sexual orientation, gender identity, sex, age, protected veteran or disabled status, or genetic information.
View Now
9