24 Data Analytics jobs in Montgomery

**42013BR**
**Requisition ID:**
42013BR
**Business Unit:**
TSU
**Job Description:**
We are currently seeking a Data Analytics Discipline Leader who will play a crucial role in leveraging data analytics to enhance a firm's capabilities in environmental services. This position involves working across multiple technical practice areas to support marketing and business development initiatives related to environmental data analytics. The leader collaborates with discipline leaders, subject matter experts (SMEs), and the environmental data analytics group to gather ideas and assess needs for data analytics. They coordinate efforts with multi-disciplinary teams of engineers, scientists, designers, draftsmen, and technicians to design and implement effective data analytics solutions. Additionally, the leader is responsible for developing processes to evaluate ideas and initiatives within Business Technology aimed at developing analytics tools and technologies.
The Data Analytics Discipline Leader also manages intellectual property (IP) and research and development (R&D) investments by reviewing current data analytics projects, identifying IP for protection, and prioritizing R&D investments. They work to grow a team of data analytics practitioners who have the desire or aptitude to develop data analytics skills. The leader establishes relationships and processes for evaluating ideas and initiatives, ensuring that the firm stays ahead of competitors by continuously improving data management and analysis capabilities. This role is essential for navigating the competitive landscape and meeting the growing demands for advanced data analytics solutions in the environmental sector.
As a member of this team, you would contribute to CDM Smith's mission by:
- Conduct evaluations of available data analytics technologies and platforms to analyze a wide range of environmental data across various applications (e.g., water quality assessments, remedial investigations, remedial actions, and operations and maintenance of treatment systems).
- Assist with the technical sales, design, and delivery of data analytics solutions tailored for environmental applications.
- Collaborate with local, national, and international technical teams in the fields of business technology and data analytics.
- Work across multiple technical practice areas to leverage data analytics research and development activities, thereby expanding and enhancing the firm's capabilities in environmental services.
- Support marketing and business development initiatives related to environmental data analytics.
- Collaborate and compile ideas: Engage with discipline leaders, subject matter experts (SMEs), and the environmental data analytics group to gather ideas and assess needs for data analytics.
- Coordinate efforts with multi-disciplinary teams of engineers, scientists, designers, draftsmen, and technicians to design and implement effective data analytics solutions.
- Establish processes: Develop processes to evaluate ideas and initiatives within Business Technology aimed at developing analytics tools and technologies.
- Manage intellectual property (IP) and research and development (R&D) investments: Review current data analytics projects, identify IP for protection, and prioritize R&D investments.
- Work with and grow data analytics practitioners who have the desire or aptitude to develop data analytics skills.
- Navigate the competitive landscape and meet the growing demand for advanced data analytics solutions in the environmental sector.
- Market engagement: Identify conferences, working groups, and other activities to enhance technical visibility and promote our capabilities to clients.
- Track business opportunities and clients: Identify and monitor business opportunities and client relationships for analytics.
**Job Title:**
Environmental Data Analytics Discipline Leader
**Group:**
ESO
**Employment Type:**
Regular
**Minimum Qualifications:**
Bachelor's degree. 7 years of related experience. Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands. Equivalent additional directly related experience will be considered in lieu of a degree.
**Preferred Qualifications:**
- Environmental Expertise: Bachelor's degree in civil, environmental, chemical engineering, science or related discipline. Professional engineering (PE) license or registration as a Licensed Professional Geologist or professional scientist registration/certification or Master's degree in science or related discipline. Must have extensive understanding of environmental analytics. A degree in computer science or programing with environmental experience is also acceptable.
- Programming Proficiency: Proficient in programming languages such as Python or R.
- Software Development Experience: Experience in developing software solutions, dashboards, and other analytics tools.
- IP Management: Experience in managing intellectual property and options for doing so.
- Educational Interest: An interest in teaching and developing education and advancement opportunities for mid- and junior-level staff.
- Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands.
- 10 years of related experience.
**EEO Statement:**
We attract the best people in the industry, supporting their efforts to learn and grow. We strive to create a challenging and progressive work environment. We provide career opportunities that span a variety of disciplines and geographic locations, with projects that our employees plan, design, build and operate as diverse as the needs of our clients. CDM Smith is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, pregnancy related conditions, childbirth and related medical conditions, sexual orientation, gender identity or gender expression), national origin, age, marital status, disability, veteran status, citizenship status, genetic information or any other characteristic protected by applicable law.
**Why CDM Smith?:**
Check out this video and find out why our team loves to work here! ( Us! CDM Smith - where amazing career journeys unfold.**
Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it's a priority that the company takes good care of you and your family.
Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world.
**Job Site Location:**
United States - Nationwide
**Agency Disclaimer:**
All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee.
**Amount of Travel Required:**
20%
**Assignment Category:**
Fulltime-Regular
**Visa Sponsorship Available:**
No - We will not support sponsorship, i.e. H-1B or TN Visas for this position
**Skills and Abilities:**
Strong knowledge of corporate governance practices, organization design principles, accounting principles, finance, supply chain management, and organization management. Excellent written and oral communication skills. Ability to understand highly complex technical, professional and business materials.
**Background Check and Drug Testing Information:**
CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as "CDM Smith") reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing.
**Pay Range Minimum:**
$90,605
**Pay Range Maximum:**
$158,579
**Additional Compensation:**
All bonuses at CDM Smith are discretionary and may or may not apply to this position.
**Work Location Options:**
Hybrid Work Options may be considered for successful candidate.
**Driver's License Requirements:**
An appropriate and valid driver's license is required.
**Massachusetts Applicants:**
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Summary:

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.

Required Skills:

Data Engineer, Analytics Responsibilities:

1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.

2. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.

3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.

4. Define and manage SLA for all data sets in allocated areas of ownership.

5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.

6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.

7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.

8. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

9. Influence product and cross-functional teams to identify data opportunities to drive impact.

10. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.

11. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

12. Telecommute from anywhere in the U.S. permitted.

Minimum Qualifications:

Minimum Qualifications:

1. Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Computer Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field, and five years of work experience in the job offered or in a computer-related occupation.

2. Alternatively, the employer will accept seven years of work experience in the job offered or a computer-related occupation as equivalent to the Bachelor's degree and five years of work experience.

3. Any suitable combination of education, training, or experience is acceptable.

4. Requires five years of experience in the following:

5. 1. Features, design, and use-case scenarios across a big data or data warehouse ecosystem
6. 1. Custom ETL design, implementation, and maintenance
7. 1. Schema design and dimensional data modeling
8. 1. Writing SQL statements
9. 1. Analyzing data to identify deliverables, gaps, and inconsistencies
10. 1. Managing and communicating data warehouse plans to internal clients, AND
11. 1. Python.

Public Compensation:

$212,275/year to $235,400/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

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Engineer, Analytics Responsibilities:
1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
2. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
4. Define and manage SLA for all data sets in allocated areas of ownership.
5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
8. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
9. Influence product and cross-functional teams to identify data opportunities to drive impact.
10. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
11. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
12. Telecommute from anywhere in the U.S. permitted.
**Minimum Qualifications:**
Minimum Qualifications:
13. Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Computer Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field, and five years of work experience in the job offered or in a computer-related occupation.
14. Alternatively, the employer will accept seven years of work experience in the job offered or a computer-related occupation as equivalent to the Bachelor's degree and five years of work experience.
15. Any suitable combination of education, training, or experience is acceptable.
16. Requires five years of experience in the following:
17. 1. Features, design, and use-case scenarios across a big data or data warehouse ecosystem
18. 2. Custom ETL design, implementation, and maintenance
19. 3. Schema design and dimensional data modeling
20. 4. Writing SQL statements
21. 5. Analyzing data to identify deliverables, gaps, and inconsistencies
22. 6. Managing and communicating data warehouse plans to internal clients, AND
23. 7. Python.
**Public Compensation:**
$212,275/year to $235,400/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

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Engineer, Analytics Responsibilities:
1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
2. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
4. Define and manage SLA for all data sets in allocated areas of ownership.
5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
8. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
9. Influence product and cross-functional teams to identify data opportunities to drive impact.
10. Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
11. Exercise judgment within defined procedures and practices to determine appropriate action.
12. Telecommute from anywhere in the US permitted.
**Minimum Qualifications:**
Minimum Qualifications:
13. Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and four years of work experience in the job offered or in a computer-related occupation. Requires four years of experience in the following:
14. 1. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale
15. 2. Programming in Python, Perl, Java, Javascript, or PHP
16. 3. Writing SQL statements
17. 4. Analyzing large volumes of data to identify deliverables or to provide data driven insights, gaps, and inconsistencies
18. 5. Data warehousing architecture and plans
19. 6. Informatica, Talend, Pentaho, dimensional data modeling, or schema design.
**Public Compensation:**
$222,388/year to $235,400/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

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Scientist, Analytics Responsibilities:
1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
6. Telecommuting is permitted from anywhere in the United States.
**Minimum Qualifications:**
Minimum Qualifications:
7. Requires Bachelor's degree in Statistics, Mathematics, Data Analytics, Computer Science, or a related field and 24 months of experience in the job offered or in a data analytics-related position. Foreign degree equivalent accepted
8. Requires 24 months of experience in the following:
9. 1. Performing quantitative analysis, including data mining on highly complex data sets
10. 2. Data querying languages, including SQL
11. 3. Scripting languages, including Python
12. 4. Statistical or mathematical software, including R, SAS, or Matlab
13. 5. Applied statistics or experimentation, such as A/B testing, in an industry setting
14. 6. Machine learning techniques
15. 7. ETL (Extract, Transform, Load) processes
16. 8. Relational databases
17. 9. Large-scale data processing infrastructures using distributed systems and
18. 10. Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.
**Public Compensation:**
$189,953/year to $196,900/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

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Engineer, Analytics Responsibilities:
1. Design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product.
2. Analyze user needs and software requirements to determine workability and to offer support for end users on data usage.
3. Design, architect, and develop software and data solutions that help product and business teams make data-driven decisions.
4. Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouse plans.
5. Design, develop, test, and launch new data models and processes into production, and provide support.
6. Leverage homegrown extract, transform, and load (ETL) framework as well as off-the-shelf ETL tools, as appropriate.
7. Interface closely with data infrastructure, product, and engineering teams to build and extend cross platform ETL and reports generation framework.
8. Identify data infrastructure issues and drive to resolution.
9. Telecommuting is permitted anywhere in the U.S.
**Minimum Qualifications:**
Minimum Qualifications:
10. Requires a Master's degree (or foreign equivalent) in Computer Science, Data Analytics, Business Analytics, or a related field and 24 months of experience in the job offered or in a related occupation. Experience must include 24 of experience in the following skills and technologies:
11. 1. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale
12. 2. Programming in Python, Perl, Java, or PHP
13. 3. Writing SQL statements
14. 4. Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies
15. 5. Data warehousing architecture and plans
16. 6. Informatica, Talend, Pentaho, dimensional data modeling, or schema design
17. 7. Map Reduce or MPP system
18. 8. Hadoop, HBase, or Hive
**Public Compensation:**
$224,028/year to $279,400/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

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Engineer, Analytics Responsibilities:
1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
2. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
4. Define and manage SLA for all data sets in allocated areas of ownership.
5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
8. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
9. Influence product and cross-functional teams to identify data opportunities to drive impact.
10. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
11. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
12. Telecommute from anywhere in the US permitted.
**Minimum Qualifications:**
Minimum Qualifications:
13. Requires a Master's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Systems Engineering, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and three years of work experience in the job offered or in a computer-related occupation.
14. Requires three years of experience in the following:
15. 1. Features, design, and use-case scenarios across a big data ecosystem
16. 2. Custom ETL design, implementation, and maintenance
17. 3. Object-oriented programming languages
18. 4. Schema design and dimensional data modeling
19. 5. Writing SQL statements
20. 6. Analyzing data to identify deliverables, gaps, and inconsistencies
21. 7. Managing and communicating data warehouse plans to internal clients
22. 8. MapReduce or MPP system and
23. 9. Python.
**Public Compensation:**
$220,720/year to $235,400/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

**Summary:**
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Data Engineer, Analytics Responsibilities:
1. Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
2. Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
4. Define and manage SLA for all data sets in allocated areas of ownership.
5. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
6. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
7. Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
8. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
9. Influence product and cross-functional teams to identify data opportunities to drive impact.
10. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
11. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
12. Telecommute from anywhere in the US permitted.
**Minimum Qualifications:**
Minimum Qualifications:
13. Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and 3 years of work experience in the job offered or a computer-related occupation.
14. Requires 3 years of experience in the following:
15. 1. Features, design, and use-case scenarios across a big data ecosystem
16. 2. Custom ETL design, implementation, and maintenance
17. 3. Object-oriented programming languages
18. 4. Schema design and dimensional data modeling
19. 5. Writing SOL statements
20. 6. Analyzing data to identify deliverables, gaps, and inconsistencies
21. 7. MapReduce or MPP system
22. 8. Python
**Public Compensation:**
$225,590/year to $235,400/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

Summary:

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Required Skills:

Data Engineer, Product Analytics Responsibilities:

1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems

2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve

3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way

4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership

5. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership

6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains

7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources

8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts

9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

10. Influence product and cross-functional teams to identify data opportunities to drive impact

11. Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent

3. 7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions

4. 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

Preferred Qualifications:

Preferred Qualifications:

1. Master's or Ph.D degree in a STEM field

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