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.
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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.