Data engineer jobs in Burlingame, CA and nearby (216 jobs)

Data engineer jobs within 25 miles of Burlingame, CA. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 216
Employers: 161

Advertised starting pay

Average starting payUSD / year: $166,087Across 80 listings
Average starting payUSD / hour: $74.23Across 15 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 22%47 listings
On-site: 23%50 listings

Not specified: 55% (119 listings)

Employers hiring include Deloitte US (8), Walmart (7), Anthropic (5).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in Burlingame, CA and nearby

Within 25 miles

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Added 4 hours ago
Cloud Data Engineer
Deloitte US
San Francisco, CA
Added 7 hours ago
Data Engineer, Consultant
BSC
Oakland, CA
The Data Services team is responsible for technical design and end-to-end delivery of complex data-driven solutions and data products for the enterprise. The Data Engineer,Consultant will…
Added 16 hours ago
Senior Data Engineer
Capgemini
San Francisco, CA
Added 16 hours ago
M
Data Engineer
ManpowerGroup
San Francisco, CA
- $53 USD / hour
Added 1 day ago
Senior Data Engineer
Foresight Works Ltd
San Francisco, CA
The AI buildout runs on physical things: data centers, power, and the supply chains behind them. A single hyperscale campus involves an owner, a general contractor, dozens of trades,…
Added 1 day ago
H
Data Engineer
Higgsfield
San Francisco, CA
- $200,000 to $260,000 USD / year
Added 1 day ago
C
Robotics Hardware & Data Engineer
Calder
Redwood City, CA
- $144,000 to $376,000 USD / year
We're looking for a Robotics Hardware / Data Engineer to desi
Added 1 day ago
Lead Data Engineer
Docusign
San Francisco, CA
…agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses…
Added 1 day ago
EU
Data Engineer
Experis USA
San Francisco, CA
- $53 USD / hour
Added 1 day ago
Lead Data Engineer
projects/helpful-passage-853/companies/9810ab3a-d8cd-4ba4-9ee5-ca421241fe3c
San Francisco, CA
…agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses…
Added 1 day ago
Data Engineer, Deal Intelligence & Automation, AWS GDSP
Amazon Web Services, Inc.
San Francisco, CA
The Global Deal Strategy and Programs (GDSP) organization is seeking a Data Engineer to own the data infrastructure that unlocks deal intelligence and automation capabilities across the…
Added 2 days ago
AL
Senior Data Engineer
Absentia Labs
San Francisco, CA
- $125,000 to $160,000 USD / year
Absentia Labs is building the data and intelligence infrastructure that powers the next generation of biomedical discovery. We work at the intersection of biology, chemistry, machine…
Added 2 days ago
W
Senior, Data Engineer | Sunnyvale
Walmart
Sunnyvale, CA
- $90,000 to $234,000 USD / year
Walmart is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and architectures that support business insights and decision-making. This role requires…
Added 2 days ago
Data Engineer II, JVM
PlayStation Global
San Mateo, CA
Added 3 days ago
SH
Founding Data Engineer
Stealth Health Startup
San Francisco, CA
- $145,000 to $215,000 USD / year
Added 3 days ago
Data Engineer
Sumeru Solutions
Menlo Park, CA
Leverage tools like SQL, Hadoop, R, PHP, Python, Oracle, Java, and Excel to drive efficient analytics and reporting or performing data extraction from mySQL/oracle/hive
Added 3 days ago
Data Engineer
Stepping Up Solutions
San Francisco, CA
We build intelligent software that automates media buying, making big data actionable for marketers and connects them to their next customer.
Added 3 days ago
Lead Data Engineer
Stepping Up Solutions
Sunnyvale, CA
We build intelligent software that automates media buying, making big data actionable for marketers and connects them to their next customer.
Added 3 days ago
Lead Data Engineer
Stepping Up Solutions
San Francisco, CA
Based in San Francisco, we are seeking a talented Lead Data Engineer.
Added 3 days ago
Data Engineer
Punch Agency
San Francisco, CA
Added 3 days ago
Senior Data Engineer
Punch Agency
San Francisco, CA
Added 3 days ago
Data Engineer in Sunnyvale CA
IDC Technologies
Sunnyvale, CA
Please focus on spark/Pyspark with data experience.
Added 3 days ago
Founding Data Engineer, AI Platform
Nth AI
San Francisco, CA
Nth AI is building Nexus, an AI-native implementation platform that creates the trusted data, semantic models, and governed business context enterprise AI needs to operate.
Added 3 days ago
Senior GCP Data Engineer
Comspark group
Sunnyvale, CA
12+ years of hands-on experience with developing data warehouse solutions and data products.
Added 3 days ago
Manager, Cloud Data Engineer
Deloitte US
San Francisco, CA
AI & Engineering leverages cutting-edge engineer

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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Applications open in a new tab.

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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