2,756 Data Pipelines jobs in the United States
Machine Learning Engineer Data Pipelines
Posted 2 days ago
Job Viewed
Job Description
Machine Learning Engineer (Data Pipelines) **Remote with Occasional Travel to Los Angeles Area** The Company Our client is an exciting new startup that is making power more accessible and efficient through industry-leading portable energy storage paired with advanced predictive software. They will be supporting a wide variety of industries including manufacturing facilities, EV charging stations, data centers, and other critical infrastructure sites, by delivering mobile power directly to their customers’ locations. The Job Our client is seeking a Machine Learning Engineer (Data Pipelines) to help build the infrastructure and machine learning models needed for their mobile power systems to integrate seamlessly with the grid and efficiently manage power needs. Functions Design, maintain, and improve well-documented, production-ready Python packages for energy modeling and control Collaborate with the engineering team to evolve our client’s control architecture and backend services Develop integrations with DER devices using industrial protocols such as MODBUS and CAN Build and deploy infrastructure using tools like Docker, Terraform, and Ansible Translate utility tariffs and DER characteristics into code for analysis Build AWS-based data pipelines for telemetry ingestion and historical analysis Write clear and maintainable documentation, configuration interfaces, and internal tooling Contribute to modeling physical, economic, and control behaviors of distributed assets Learn and apply evolving standards and technologies such as UL 3141, IEEE 2030.5, or UL 9540 Apply state-of-the-art AI techniques to control, forecasting, or optimization problems and deploy them in real-world energy systems Qualifications Experience with AWS services and building scalable telemetry or control pipelines Comfortable modeling and simulating real-world systems (e.g., batteries, tariffs, control loops) Demonstrated ability to apply and deploy AI/ML models in real-life applications Strong communication and collaboration skills, especially across disciplines Ability to learn complex topics like grid interconnection standards and utility data systems Proficiency in Python with experience maintaining production software and internal libraries Preferred Skills Master’s or PhD in Computer Science, Electrical Engineering, Physics, Mathematics, or a similar technical field Strong grasp of electricity fundamentals and renewable energy technologies Experience with infrastructure-as-code tools like Docker, Terraform, and Ansible Familiarity with industrial communication protocols such as MODBUS and CAN #J-18808-Ljbffr
Principal Staff Software Engineer, Big Data Pipelines & Platform Infrastructure
Posted 1 day ago
Job Viewed
Job Description
Principal Staff Software Engineer, Big Data Pipelines & Platform Infrastructure Principal Staff Software Engineer, Big Data Pipelines & Platform Infrastructure Get AI-powered advice on this job and more exclusive features. Direct message the job poster from LinkedIn LinkedIn was built to help professionals achieve more in their careers, and every day, millions of people use our products to connect, discover opportunities, and gain insights. Our global reach allows us to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume—we transform lives through innovative products and technology. Searching for your next big opportunity? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works. We believe that leadership is about fostering growth, maintaining balance, and achieving results. Our leaders value their craft, inspire their teams, and set the standard for high-quality work. They drive the strategy and implementation of critical initiatives, motivating and developing their teams to make a lasting impact on our business and community. Job Description At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. We are looking for a Principal-level Technical Lead for the Big Data Platform infrastructure organization in LinkedIn. The candidate would be the organizational leader’s technical partner in building end-to-end solutions for the platform. The organization includes orchestrators, data processing query engines, streams compute, data warehouse, and catalog. The candidate should have proven experience in most of these technologies so that the person can help design and lead end-to-end solutions that span the entire platform. This would include partnering with the technical leads to help build solutions in the following areas: Building a seamless managed data experience for the platform users Strategize and help build a single multipurpose query engine that spans both batch and streams compute. Strategizing on the SQL-first strategy for infrastructure. Building an observable platform that has true end-to-end error handling. The candidate is expected to work with partners and customer stakeholders to strategize and lead solutions along with a deep hands-on approach to problem-solving. The candidate should have demonstrated strong leadership skills with a focus on customer experience and quality. Basic Qualifications: BS/BA in Computer Science or related technical field or equivalent technical experience 10+ years of experience in software design, building solutions Preferred Qualifications: 12+ years' experience in software design 5+ of those years in a technical leadership position Experience with big data platform infrastructure Experience leading and influencing within large, matrixed organization Experience leading high-impact, cross-organization initiatives. "Suggested skills" - big data platform infrastructure - Developing technology strategies at a company-wide scale. - Technical leadership LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $207,000 to $40,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit Equal Opportunity Statement We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at and describe the specific accommodation requested for a disability-related limitation. Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to: -Documents in alternate formats or read aloud to you -Having interviews in an accessible location -Being accompanied by a service dog -Having a sign language interpreter present for the interview A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response. LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information. Pay Transparency Policy Statement As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Global Data Privacy Notice for Job Candidates This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Seniority level Seniority level Not Applicable Employment type Employment type Full-time Job function Industries Technology, Information and Internet and IT Services and IT Consulting Referrals increase your chances of interviewing at LinkedIn by 2x Sign in to set job alerts for “Principal Staff Software Engineer” roles. Software Engineer, AI Intern (Fall 2025) San Francisco Bay Area $57. 0- 61.00 20 hours ago Software Engineer, AI Intern (Summer 2025) Mountain View, CA 125,400.00- 188,100.00 2 weeks ago Software Engineer, AI Platform - New Grad Software Engineer (L4), Content & Business Products New Grads 2025 - Software Engineer, Algorithm San Jose, CA 120,000.00- 165,000.00 9 months ago New Grads 2025 - General Software Engineer San Jose, CA 120,000.00- 165,000.00 4 months ago San Jose, CA 112,000.00- 126,000.00 36 minutes ago Software Engineer(s) - New Grad (Fall 2025 Graduation) Sunnyvale, CA 167,000.00- 185,500.00 1 day ago Software Engineer 4 - TV & Web Player Platform Software Engineer I (Intern) United States San Jose, CA 44,000.00- 130,000.00 2 days ago San Jose, CA 100,500.00- 173,250.00 22 hours ago Full Stack Software Engineer - Post-training Palo Alto, CA 180,000.00- 440,000.00 2 weeks ago San Jose, CA 133,900.00- 242,000.00 1 week ago Menlo Park, CA 56.25- 173,000.00 4 hours ago San Jose, CA 113,400.00- 206,300.00 2 weeks ago Full Stack Software Engineer (L4), Product Localization Engineering Software Engineer - Intern (Summer 2025) San Jose, CA 3,000.00- 4,000.00 8 months ago Santa Clara, CA 150,000.00- 175,000.00 7 months ago Software Engineer(s) - New Grad (Fall 2025 Graduation) New College Grad Software Engineer, Software Engineering Development (Apps) San Jose, CA 92,735.00- 131,300.00 1 week ago Frontend Software Engineer - University Graduate 2025 San Mateo, CA 120,000.00- 280,000.00 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Principal Staff Software Engineer, Big Data Pipelines & Platform Infrastructure

Posted today
Job Viewed
Job Description
Searching for your next big opportunity? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works.
We believe that leadership is about fostering growth, maintaining balance, and achieving results. Our leaders value their craft, inspire their teams, and set the standard for high-quality work. They drive the strategy and implementation of critical initiatives, motivating and developing their teams to make a lasting impact on our business and community.
Job Description
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
We are looking for a Principal-level Technical Lead for the Big Data Platform infrastructure organization in LinkedIn. The candidate would be the organizational leader's technical partner in building end-to-end solutions for the platform. The organization includes orchestrators, data processing query engines, streams compute, data warehouse, and catalog. The candidate should have proven experience in most of these technologies so that the person can help design and lead end-to-end solutions that span the entire platform.
This would include partnering with the technical leads to help build solutions in the following areas:
Building a seamless managed data experience for the platform users
Strategize and help build a single multipurpose query engine that spans both batch and streams compute.
Strategizing on the SQL-first strategy for infrastructure.
Building an observable platform that has true end-to-end error handling.
The candidate is expected to work with partners and customer stakeholders to strategize and lead solutions along with a deep hands-on approach to problem-solving. The candidate should have demonstrated strong leadership skills with a focus on customer experience and quality.
Basic Qualifications:
BS/BA in Computer Science or related technical field or equivalent technical experience
10+ years of experience in software design, building solutions
Preferred Qualifications:
12+ years' experience in software design
5+ of those years in a technical leadership position
Experience with big data platform infrastructure
Experience leading and influencing within large, matrixed organization
Experience leading high-impact, cross-organization initiatives.
"Suggested skills"
- big data platform infrastructure
- Developing technology strategies at a company-wide scale.
- Technical leadership
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $207,000 to $340,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants:
Principal Staff Software Engineer, Big Data Pipelines & Platform Infrastructure (Mountain View)
Posted today
Job Viewed
Job Description
5 days ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
Direct message the job poster from LinkedIn
LinkedIn was built to help professionals achieve more in their careers, and every day, millions of people use our products to connect, discover opportunities, and gain insights. Our global reach allows us to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume—we transform lives through innovative products and technology.
Searching for your next big opportunity? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works.
We believe that leadership is about fostering growth, maintaining balance, and achieving results. Our leaders value their craft, inspire their teams, and set the standard for high-quality work. They drive the strategy and implementation of critical initiatives, motivating and developing their teams to make a lasting impact on our business and community.
Job Description
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
We are looking for a Principal-level Technical Lead for the Big Data Platform infrastructure organization in LinkedIn. The candidate would be the organizational leader’s technical partner in building end-to-end solutions for the platform. The organization includes orchestrators, data processing query engines, streams compute, data warehouse, and catalog. The candidate should have proven experience in most of these technologies so that the person can help design and lead end-to-end solutions that span the entire platform.
This would include partnering with the technical leads to help build solutions in the following areas:
Building a seamless managed data experience for the platform users
Strategize and help build a single multipurpose query engine that spans both batch and streams compute.
Strategizing on the SQL-first strategy for infrastructure.
Building an observable platform that has true end-to-end error handling.
The candidate is expected to work with partners and customer stakeholders to strategize and lead solutions along with a deep hands-on approach to problem-solving. The candidate should have demonstrated strong leadership skills with a focus on customer experience and quality.
Basic Qualifications:
BS/BA in Computer Science or related technical field or equivalent technical experience
10+ years of experience in software design, building solutions
Preferred Qualifications:
12+ years' experience in software design
5+ of those years in a technical leadership position
Experience with big data platform infrastructure
Experience leading and influencing within large, matrixed organization
Experience leading high-impact, cross-organization initiatives.
Suggested skills
- big data platform infrastructure
- Developing technology strategies at a company-wide scale.
- Technical leadership
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $207,000 to $40,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants:
- Seniority level Not Applicable
- Employment type Full-time
- Industries Technology, Information and Internet and IT Services and IT Consulting
Referrals increase your chances of interviewing at LinkedIn by 2x
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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrPrincipal Staff Software Engineer, Big Data Pipelines & Platform Infrastructure (Mountain View)
Posted today
Job Viewed
Job Description
Get AI-powered advice on this job and more exclusive features.
Direct message the job poster from LinkedIn
LinkedIn was built to help professionals achieve more in their careers, and every day, millions of people use our products to connect, discover opportunities, and gain insights. Our global reach allows us to make a direct impact on the world’s workforce in ways no other company can. We’re much more than a digital resume—we transform lives through innovative products and technology.
Searching for your next big opportunity? At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works.
We believe that leadership is about fostering growth, maintaining balance, and achieving results. Our leaders value their craft, inspire their teams, and set the standard for high-quality work. They drive the strategy and implementation of critical initiatives, motivating and developing their teams to make a lasting impact on our business and community.
Job Description
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
We are looking for a Principal-level Technical Lead for the Big Data Platform infrastructure organization in LinkedIn. The candidate would be the organizational leader’s technical partner in building end-to-end solutions for the platform. The organization includes orchestrators, data processing query engines, streams compute, data warehouse, and catalog. The candidate should have proven experience in most of these technologies so that the person can help design and lead end-to-end solutions that span the entire platform.
This would include partnering with the technical leads to help build solutions in the following areas:
Building a seamless managed data experience for the platform users
Strategize and help build a single multipurpose query engine that spans both batch and streams compute.
Strategizing on the SQL-first strategy for infrastructure.
Building an observable platform that has true end-to-end error handling.
The candidate is expected to work with partners and customer stakeholders to strategize and lead solutions along with a deep hands-on approach to problem-solving. The candidate should have demonstrated strong leadership skills with a focus on customer experience and quality.
Basic Qualifications:
BS/BA in Computer Science or related technical field or equivalent technical experience
10+ years of experience in software design, building solutions
Preferred Qualifications:
12+ years' experience in software design
5+ of those years in a technical leadership position
Experience with big data platform infrastructure
Experience leading and influencing within large, matrixed organization
Experience leading high-impact, cross-organization initiatives.
Suggested skills
- big data platform infrastructure
- Developing technology strategies at a company-wide scale.
- Technical leadership
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $207,000 to $40,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at and describe the specific accommodation requested for a disability-related limitation.
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview
A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants:
- Seniority level Not Applicable
- Employment type Full-time
- Industries Technology, Information and Internet and IT Services and IT Consulting
Referrals increase your chances of interviewing at LinkedIn by 2x
Sign in to set job alerts for “Principal Staff Software Engineer” roles. Software Engineer, AI Intern (Fall 2025)San Francisco Bay Area $57. 0- 61.00 20 hours ago
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Frontend Software Engineer - University Graduate 2025San Mateo, CA 120,000.00- 280,000.00 2 weeks ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrData Architecture
Posted 9 days ago
Job Viewed
Job Description
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Data Architecture
Posted 1 day ago
Job Viewed
Job Description
This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications. This is an exciting opportunity to work as a part of a collaborative senior data team supporting DC's Chief Data Officer. This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse) and data pipeline/ETL development tools (including Streamsets, Azure Data Factory). The platform will be designed for District wide use and integration with other OCTO Enterprise Data tools such as Esri, Tableau, MicroStrategy, API Gateways, and Oracle databases and integration tools. Responsibilities: 1. Coordinates IT project management, engineering, maintenance, QA, and risk management. 2. Plans, coordinates, and monitors project activities. 3. Develops technical applications to support users. 4. Develops, implements, maintains and enforces documented standards and procedures for the design, development, installation, modification, and documentation of assigned systems. 5. Provides training for system products and procedures. 6. Performs application upgrades. 7. Performs, monitoring, maintenance, or reporting on real- time databases, real-time network and serial data communications, and real-time graphics and logic applications. 8. Troubleshoots problems. 9. Ensures project life-cycle is in compliance with District standards and procedures. Minimum Education/Certification Requirements: Bachelor’s degree in Information Technology or related field or equivalent experience Compensation: $100.00 per hour Apply with Indeed (if you already have a resume on Indeed) Or apply here. * required fields First Name * Last Name * Email * Phone * Yes, Text Me! I want to get text messages for this job from Go intellects Inc. #J-18808-Ljbffr
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Data Architecture
Posted 1 day ago
Job Viewed
Job Description
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Data Architecture Manager
Posted 1 day ago
Job Viewed
Job Description
Data Architecture Manager (Accenture LLP; Philadelphia, PA): Accenture LLP has multiple openings for the position of Data Architecture Manager in Philadelphia, PA, and the job duties are as follows:
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Design and implement effective database solutions and data models to store and retrieve organizational data, including architecting overall organizational data strategy (data model designs, database development standards, implementation, and management of data warehouses and data analytics systems) that is in line with client business processes.
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Design full-stack cloud solutions that fully integrate with customer's existing cloud infrastructure from data flow, security, DevOps, and user-interface requirements.
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Create physical and logical architecture solution roadmaps for linking services solutions with client business processes and technologies.
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Design and develop high volume cloud data ingestion components and ETL solutions to collect data from various internal and external sources, ensure data quality and controls are in place to support various data ingestion inflows and outflow processes.
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Develop solutions to evaluate architectural alternatives for private, public, and hybrid cloud models, including IaaS, PaaS, and other cloud services.
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Recommend data governance processes, security standards, and models that will provide architectural guidelines to support the development initiatives.
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Manage end-to-end data architecture, from the selection of the platform, the design of technical architecture, to the development, testing, and implementation of the proposed solution.
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Provide consultation and collaborate with technology leaders, business partners, and peer groups regarding long and short-range product features, and partner with the Product Owners and the engineering teams to align the technical design and strategy with the product roadmap.
BASIC QUALIFICATIONS:
Must have a bachelor's degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, or related field, plus 5 years of progressive post-baccalaureate experience in the IT consulting industry. Must have 5 years of experience in each of the following:
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Creating and optimizing logical and physical data models;
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Utilizing Extract, Transform, Load tools, including AWS Glue or AWS Elastic Map Reduce;
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Utilizing DevOps, Agile methodology, and GitHub;
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Implementing data security practices and compliance requirements;
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Implementing data warehousing solutions using AWS Data Lake or AWS Redshift; and
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Defining and implementing data governance frameworks and best practices to ensure data quality and consistency.
Must have 3 years of experience in each of the following:
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Driving key architectural and design decisions;
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Managing projects and providing solutions for complex requirements including data warehouse migration and optimization; and
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Suggesting improvements on ongoing performance issues.
Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.
To apply, please click the 'APPLY' button.
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Requesting An Accommodation
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Data Architecture Manager
Posted 1 day ago
Job Viewed
Job Description
Data Architecture Manager (Accenture LLP; Philadelphia, PA): Accenture LLP has multiple openings for the position of Data Architecture Manager in Philadelphia, PA, and the job duties are as follows:
- Design and implement effective database solutions and data models to store and retrieve organizational data, including architecting overall organizational data strategy (data model designs, database development standards, implementation, and management of data warehouses and data analytics systems) that is in line with client business processes.
- Design full-stack cloud solutions that fully integrate with customers existing cloud infrastructure from data flow, security, DevOps, and user-interface requirements.
- Create physical and logical architecture solution roadmaps for linking services solutions with client business processes and technologies.
- Design and develop high volume cloud data ingestion components and ETL solutions to collect data from various internal and external sources, ensure data quality and controls are in place to support various data ingestion inflows and outflow processes.
- Develop solutions to evaluate architectural alternatives for private, public, and hybrid cloud models, including IaaS, PaaS, and other cloud services.
- Recommend data governance processes, security standards, and models that will provide architectural guidelines to support the development initiatives.
- Manage end-to-end data architecture, from the selection of the platform, the design of technical architecture, to the development, testing, and implementation of the proposed solution.
- Provide consultation and collaborate with technology leaders, business partners, and peer groups regarding long and short-range product features, and partner with the Product Owners and the engineering teams to align the technical design and strategy with the product roadmap.
BASIC QUALIFICATIONS:
Must have a bachelors degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, or related field, plus 5 years of progressive post-baccalaureate experience in the IT consulting industry.
Must have 5 years of experience in each of the following:
- Creating and optimizing logical and physical data models;
- Utilizing Extract, Transform, Load tools, including AWS Glue or AWS Elastic Map Reduce;
- Utilizing DevOps, Agile methodology, and GitHub;
- Implementing data security practices and compliance requirements;
- Implementing data warehousing solutions using AWS Data Lake or AWS Redshift; and
- Defining and implementing data governance frameworks and best practices to ensure data quality and consistency.
Must have 3 years of experience in each of the following:
- Driving key architectural and design decisions;
- Managing projects and providing solutions for complex requirements including data warehouse migration and optimization; and
- Suggesting improvements on ongoing performance issues.
Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.
#LI-DNI
#IND-DNI
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 ( or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of theAccenture Equal Opportunity Statement
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
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