Jobs in the United States

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Added 14 mins ago
DevOps Engineer
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a DevOps Engineer based in the United States.
Added 23 mins ago
UG
Senior Data Engineer
UnitedHealth Group
Eden Prairie, MN
- $91,700 to $163,700 USD / year
As a Senior Data Engineer on the PI CAP Data Engineering team within Optum Insight based in Eden Prairie, MN, you will join an innovative technology group responsible for architecting,…
Added 1 hour ago
PN
Senior Databricks Engineer
Pacific Northwest National Laboratory
UNAVAILABLE · Richland, WA
- $133,100 USD / year
We are seeking an experienced Databricks Engineer to support the design, build, and operation of our enterprise data lakehouse that powers analytics and reporting across PNNL systems. This…
Added 4 hours ago
Senior Data Engineer, Data Products & Platforms
Vizient
Chicago, IL · Irving, TX · Centennial, CO · Chicago · Irving · Centennial
…curated data assets, and reusable platform capabilities using Databricks and cloud-native technologies while partnering with product, analytics, and business teams to transform complex data…
Added 4 hours ago
AI/ML Engineer Team Lead
Vizient
Chicago, IL · Irving, TX · Centennial, CO · Chicago · Irving · Centennial
Experience with Databricks, vector databases, embeddings, reranking, semantic search, or enterprise knowledge-retrieval platforms preferred.
Added 4 hours ago
Senior AI/ML Engineer
Vizient
Chicago, IL · Irving, TX · Chicago · Irving
Experience with Microsoft Azure, Azure AI Foundry, Azure AI Search, Databricks, or Azure Service Bus preferred.
Added 6 hours ago
Sr Databricks Data Engineer
Deloitte
Boston, MA
…data environments, and unlock value through innovation. As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that…
Added 6 hours ago
Databricks Data Engineer
Deloitte
Boston, MA
…scale analytics and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that…
Added 6 hours ago
Data Engineer II
Deloitte
Boston, MA
The Data Engineer Consultant will support data architecture and engineering delivery that enables artificial intelligence (AI), machine learning (ML), and generative AI (GenAI) solutions,…
Added 6 hours ago
Staff AI Engineer
General Motors
Boston, MA
…Marketing, and Global Markets. This is a hands-on Staff AI Engineer role for an experienced individual contributor who can move from business problem framing and analytical discovery…
Added 6 hours ago
SO
Senior AI Engineer
State of Massachusetts
Boston, MA
- $89,993.11 USD / year
…with experience)** GENERAL STATEMENT OF DUTIES: The Senior AI Engineer designs the architecture for, builds, and deploys AI-enabled applications in OSA's Microsoft GCC environment. Working…
Added 7 hours ago
Data Platform Engineer, Senior
Booz Allen Hamilton_United States
Alexandria, VA · St. Louis, MO
AWS Solutions Architect, AWS DevOps Engineer, AWS SysOps Administrator, Databricks, Kubernetes, or similar Industry Certification
Added 7 hours ago
AIOps Engineer
Booz Allen Hamilton_United States
Alexandria, VA · St. Louis, MO
…operations for national security requirements. As a DevOps engineer, you know how to create efficient and effective solutions, so you can quickly deliver the best operational data. Booz…
Added 7 hours ago
Cyber Automation Engineer
Booz Allen Hamilton_United States
Alexandria, VA · St. Louis, MO
Experience supporting Databricks, AI/ML platforms, data platforms, or other cloud-native analytics environments
Added 7 hours ago
Software Engineer, Platform (Partner 16, Partner 18)
a16z
San Francisco, CA
…invested in companies like Anduril, Airbnb, Coinbase, Cursor, Databricks, Deel, Figma, GitHub, Roblox, SpaceX, and Stripe. Our team is at the forefront of new technology, helping founders…
Added 7 hours ago
AI/ML Software Engineer
ASG
Remote, United States
…and data platforms that unlock new value from data. The AI/ML Engineer will lead and contribute directly to projects such as internal LLM applications, data pipelines, ML-powered product…
Added 8 hours ago
Senior AI/ML Engineer
Vizient, Inc.
Chicago, IL · Irving, TX
Experience with Microsoft Azure, Azure AI Foundry, Azure AI Search, Databricks, or Azure Service Bus preferred.
Added 8 hours ago
AI & Software Engineering Manager
Westinghouse Electric Company, LLC
Cranberry Township, NC
Plan team capacity against the prioritized portfolio, and propose and manage engineer assignments within Data & AI capacity governance.
Added 8 hours ago
GI
Data Analyst (Dashboard Developer)
Guidehouse Inc.
Remote, United States
- $68,000 to $113,000 USD / year
Leading and reviewing data cleaning scripts using tools such as Databricks, SQL, and Python.
Added 8 hours ago
Senior Quality Engineer
HINCX Hiscox Inc.
CT · NY
Hands-on experience working with modern cloud data lakehouse technologies e.g. Databricks (preferred) or Snowflake.
Added 8 hours ago
Data Scientist, Dataset Assessment Lead
Experis USA
Sunnyvale, CA
Deliver comprehensive handoff materials to the incoming Data Engineer and broader program team.
Added 9 hours ago
Full Stack Software Engineer (AI-Enabled Healthcare Analytics) - Hybrid
Cigna-Evernorth Services Inc.
Bloomfield, CT
We're looking for an experienced Full Stack Software Engineer who thrives at the intersection of application development, data engineering, and AI-enabled innovation. In this role, you'll…
Added 9 hours ago
Senior Informatics Architect
TetraScience
Boston, MA · San Mateo, CA
…TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and…
Added 9 hours ago
Senior Informatics Architect
TetraScience
Remote, United States
…TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and…
Added 9 hours ago
Senior Informatics Architect
TetraScience
Remote, United States
…TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and…

Capgemini

Senior Data Engineer - Azure

San Francisco, CA, CA, United States

The base compensation range for this role in the posted location is: $89,400 - $166,398.

Apply About employer

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Job details

Pay: The base compensation range for this role in the posted location is: $89,400 - $166,398.
Apply by: Nov 5, 2026
Experience: Data Modeling Expertise: Minimum of 12 years of proven experience with SQL, schema design, and dimensional data modeling.
Posting language: English
Posted: Sep 29, 2026

Original job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Location:

This is a hybrid role based in Fremont, CA.

About the role you're considering

We are seeking a highly experienced Senior Data Engineering Lead with minimum 8+ years' experience in modern data engineering, data warehousing and data lake technologies on Azure cloud platform. The successful candidate will possess a strong technical background and proven leadership skills to manage stakeholders, design, and lead development efforts.

Your role:

Data Warehousing: Expertise in data warehouse best practices, development standards and methodologies. Minimum of 8 years of experience in modern data engineering, data warehousing (Azure Synapse, Azure SQL, Amazon Redshift, Snowflake or Google Big Query), and data lake technologies on the Azure cloud.
Big Data Tools: Strong experience with platforms (mandatory) such as Databricks (preferable). Experience with Databricks is highly desirable but not mandatory.
Must be able to implement Medallion Architecture for data management.
Lead development teams, drive project timelines, and ensure high-quality deliverables.

Skills & experience

Programming Skills: Stellar hands-on expertise in Python, PySpark, and SQL.
Azure Expertise: Proficient in Microsoft Azure Cloud Services.
Data Warehousing: Expertise in data warehouse best practices, development standards and methodologies. Minimum of 8 years of experience in modern data engineering, data warehousing (Azure Synapse, Azure SQL, Amazon Redshift, Snowflake or Google Big Query), and data lake technologies on the Azure cloud.
Data Modeling Expertise: Minimum of 12 years of proven experience with SQL, schema design, and dimensional data modeling.
Big Data Tools: Strong experience with platforms (mandatory) such as Databricks (preferable). Experience with Databricks is highly desirable but not mandatory.
Cloud Data Engineering concepts: Experience with common ETL/ELT tools (ADF, Informatica, Talend) and implementing Medallion Architecture for data management.
Data Management and Storage: Proficiency with Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Blob Storage, etc.
Analytical Skills: Strong analytical and problem-solving skills.
Leadership: Lead development teams, drive project timelines, and ensure high-quality deliverables.

The base compensation range for this role in the posted location is: $89,400 - $166,398.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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More about this job

Skills

Data engineering
Data warehousing
Microsoft Azure
Leadership
Data warehouse
SQL
Amazon Redshift
Snowflake
BigQuery
Databricks
Data management
Python
PySpark
Data modelling
Informatica
Analytical skills
Problem solving
Onboarding

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