Data Engineer salaries in San Francisco.
What Data Engineer roles in San Francisco pay, from live listings on JobsRadar.
Compare with anotherMedian salary
$216,000
per year · annualized USD
Typical range
$189k – $270.9k
25th–75th percentile
Disclosing pay
75.2%
167 of 222 roles
Live roles
222
open right now
Salary trend
median · annualized USDSalary distribution
annualized USD · disclosed rolesHighest-paying jobs
Software Engineer, Frontier Data Products
Research Engineer - Environments, Data and Post-Training
Software Engineer, Robotics Data
Machine Learning Engineer, Frontier Data Products
Data Engineer
Staff+ Software Engineer, Data Infrastructure
Software Engineer, RL Data
Software Engineer, Data Infrastructure
Top companies hiring
| Company | Median | Roles |
|---|---|---|
OpenAI
|
$315,000 | 11 |
Brex
|
$216,000 | 7 |
|
Anthropic
|
$362,500 | 6 |
Databricks
|
$226,000 | 6 |
|
Mercor
|
$315,000 | 5 |
Fluidstack
|
$217,500 | 5 |
DoorDash USA
|
$161,300 | 5 |
Peregrine Technologies
|
$237,500 | 4 |
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How much do Data Engineer roles in San Francisco pay?
The median salary for Data Engineer roles in San Francisco is $216,000 per year. Most pay falls between $189,000 (25th percentile) and $270,870 (75th percentile), with the broader 10th–90th percentile band running from $161,300 to $315,000.
These figures are computed live from 222 active Data Engineer roles in San Francisco on JobsRadar, of which 167 (75.2%) publish a salary range. Pay is normalized to annualized USD so roles can be compared on equal terms; the highest-paying roles listed above show their original posted currency. Numbers refresh every few hours as new roles are posted and older ones close.
Employers currently hiring well-paid Data Engineer roles in San Francisco include Mercor, Anthropic and Thinking Machines Lab.
Salary transparency varies by employer and region, so the disclosing share above reflects only roles that publish pay — not every open position. Use it as a directional benchmark rather than an exact offer.