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

High-pay coastal economy across finance, healthcare, hospitality, and tech. A high-pay coastal economy spanning finance, healthcare, hospitality, and a leading tech sector.

Top industries: Finance, Healthcare, Hospitality & Tourism, Technology.

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?

iampro.io aggregates listings from 40+ sources (Indeed, LinkedIn, and more) and uses AI to analyze each posting against your profile. With 100 current Data Engineer listings in San Francisco, you get honest match scores, red flag detection, and personalized CV advice — all for free.

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