Data Engineer Jobs in San Francisco

26 positions available in CA. VC capital with 380K+ startups, fintech, and AI-first tech roles

Senior Engineering Manager, Data Engineering

Checkr • Denver, Colorado, United States; San Francisco, California, United States

remote

Data Engineer, People Innovation Labs

Openai • San Francisco

remote

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Senior Staff Data Engineer

Sofi • CA - San Francisco; WA - Seattle; UT - Salt Lake

remote

Senior Data Engineer

Headway • New York, New York, United States; San Francisco, California, United States; Seattle, Washington, United States

remote

Data Engineering Manager

Doximity • San Francisco or Remote (U.S.)

remote

Data Engineering & Analytics Intern

Doximity • San Francisco, CA

hybrid

Related Roles in San Francisco

Web Developer Software Engineer Data Scientist Data Analyst

Data Engineer in Other Cities

Austin (TX) San Jose (CA) Seattle (WA) Denver (CO)

What Does a Data Engineer Do?

Data engineers build and maintain the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They ensure data quality, security, and accessibility for analytics and machine learning teams.

Data Engineer Salary in San Francisco

The median salary for a Data Engineer in San Francisco is $161,874 per year. The range is $123K - $211K (P10: $93,798, P90: $264,711). (BLS OEWS 2025) Typical US salary range: $95K - $160K. In Europe: €65K - €105K. Cost of living in San Francisco is very high compared to other cities.

Most In-Demand Skills

Apache Spark/Hadoop SQL Python Cloud Platforms (AWS/GCP/Azure) ETL/ELT Data Modeling

The San Francisco Job Market

VC capital with 380K+ startups, fintech, and AI-first tech roles. SF dominates venture funding and AI innovation despite post-pandemic talent shifts, with salary premiums reflecting prestige.

Top industries: Venture Capital, Fintech, Artificial Intelligence, Cloud Computing.

BART and Muni provide public transit; remote-first culture has transformed commute dependency since 2020.

Career Path & 2026 Trends

Data engineers progress to senior data engineer or principal engineer roles, with some transitioning to data platform architecture or management. Data engineering is experiencing rapid growth in 2026 as organizations prioritize real-time data and AI/ML infrastructure investments.

Interview Tip

Prepare specific examples of data pipelines you've built, focusing on how you handled scale, reliability, and data quality challenges.

How to Find a Data Engineer Job in San Francisco?

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