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Added 7 mins ago
TT
Senior Software Engineer
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- $210,000 to $300,000 USD / year
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Added 7 mins ago
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Senior/Staff Full Stack Engineer
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Sr Staff Applications Operations Engineer – Engineering Tools Automation & AI Ops
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Added 14 mins ago
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- $70 to $88 USD / hour
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Added 33 mins ago
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Added 39 mins ago
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Added 39 mins ago
Senior Software Engineer, Cloud Platform
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Added 39 mins ago
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Added 40 mins ago
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Share Senior Network Engineer, Robotics, Enterprise Engineering, DeepMind
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Added 41 mins ago
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As an AI Engineer, you will contribute to the design, development, and delivery of GenAI applications that enhance client experience and create business value. You will collaborate with…
Added 41 mins ago
Senior Data Engineer
Capgemini
San Francisco, CA
We are seeking a highly skilled Lead Data Engineer to design develop and optimize scalable data ingestion and processing solutions using Databricks native capabilities The ideal candidate…
Added 41 mins ago
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Added 41 mins ago
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Cloud Engineer
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Capgemini

Senior Data Engineer

San Francisco, CA, United States

The base compensation range for this role in the posted location is: $ 130,000 - 150,000

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Job details

Pay: The base compensation range for this role in the posted location is: $ 130,000 - 150,000
Posting language: English
Posted: Oct 22, 2026

Original job description

Senior Data Engineer

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.

San Francisco, CA (Hybrid - 3 days/week from office).

Role Overview

We are seeking a highly skilled Lead Data Engineer to design develop and optimize scalable data ingestion and processing solutions using Databricks native capabilities The ideal candidate will possess deep expertise in data engineering largescale data integration and cloud-based data platforms with hands-on experience in Databricks Native Data Loader Lakeflow Connect Delta Lake and enterprise data migration from relational databases such as Oracle MySQL and SQL Server.

This role will lead the design and implementation of modern data pipelines mentor engineering teams and collaborate closely with business and technology stakeholders to deliver reliable scalable and high performing data solutions.

Key Responsibilities

Databricks Data Engineering Data Ingestion
Design and implement enterprise scale data ingestion frameworks using Databricks Native Data Loader Lakeflow Connect and other Databricks native capabilities
Build and optimize batch and streaming data pipelines for ingesting data from Oracle MySQL SQL Server APIs and other enterprise data sources
Develop robust ELTETL pipelines leveraging Databricks Spark Delta Lake and cloud native technologies
Implement end-to-end data movement transformation validation and monitoring solutions
Lead architectural decisions related to data ingestion storage processing and governance

Data Engineering

Create and maintain optimal data pipeline architecture
Build scalable data pipelines that transform raw and unstructured data into analytics ready datasets
Assemble large complex datasets that meet both functional and nonfunctional business requirements
Identify design and implement process improvements including automation infrastructure optimization and scalability enhancements
Develop infrastructure for extraction transformation and delivery of data from diverse data sources using distributed processing technologies
Build and maintain new integrations required for optimal data extraction transformation and loading ETLELT
Implement processes to validate data and monitor data quality ensuring production data is accurate and reliable
Perform root cause analysis on data issues and recommend corrective actions
Write unit and integration tests adopt Test-Driven Development TDD practices and maintain technical documentation
Ensure platform reliability performance optimization and adherence to enterprise standards

Leadership Collaboration

Provide technical leadership and mentoring to junior engineers
Collaborate with Product Engineering Analytics Architecture and Business stakeholders to understand requirements and deliver data solutions
Drive best practices in coding DevOps CICD testing and documentation
Participate in architecture reviews code reviews and technical design discussions
Support Agile development processes and contribute to sprint planning and estimation activities

The base compensation range for this role in the posted location is: $ 130,000 - 150,000

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.

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.

Ref. code: 579676

Posted on: Oct 19, 2026

Experience Level: Experienced Professionals

Contract Type: Permanent

Location:

San Francisco, CA, US

Brand: Capgemini

Professional Community: Data & AI

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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.

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More about this job

Skills

Databricks
Data engineering
Oracle
MySQL
Microsoft SQL Server
Apache Spark
Unstructured data
Root cause analysis
Documentation
Leadership
Collaboration
Coaching
Agile development
Estimating
Onboarding

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