Median salary
$215,000
per year · annualized USD
Typical range
$183.8k – $275.6k
25th–75th percentile
Disclosing pay
74%
191 of 258 roles
Live roles
258
open right now
Staff+ Research Engineer, RL Data Platform
Pre-training Data Infrastructure Engineer
Software Engineer, Data Acquisition
Software Engineer - Data Aquisition (systems)
Research Engineer - Environments, Data and Post-Training
Data Engineer
Machine Learning Engineer, Distributed Data Systems - Robotics
Machine Learning Engineer, Frontier Data Products
| Company | Median | Roles |
|---|---|---|
OpenAI
|
$312,500 | 12 |
Anthropic
|
$362,500 | 11 |
Mercor
|
$330,000 | 8 |
Brex
|
$216,000 | 7 |
DoorDash USA
|
$161,300 | 7 |
Databricks
|
$222,325 | 6 |
| ZG Zeta Global | $175,000 | 5 |
Pinterest
|
$230,086 | 4 |
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The median salary for Data Engineer roles in San Francisco is $215,000 per year. Most pay falls between $183,838 (25th percentile) and $275,625 (75th percentile), with the broader 10th–90th percentile band running from $159,500 to $341,550.
These figures are computed live from 258 active Data Engineer roles in San Francisco on JobsRadar, of which 191 (74%) 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 Anthropic, OpenAI and Mercor.
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.