Data Engineer salaries in San Francisco.
What Data Engineer roles in San Francisco pay, from live listings on JobsRadar.
Compare with anotherMedian salary
$225,000
per year · annualized USD
Typical range
$187.5k – $275k
25th–75th percentile
Disclosing pay
48.7%
2,001 of 4,106 roles
Live roles
4,106
open right now
Salary distribution
annualized USD · disclosed rolesHighest-paying live roles
Research Engineer, Knowledge Team
Research Scientist, Interpretability
Research Engineer, Machine Learning (RL Velocity)
Performance Engineer
Staff Research Engineer, Discovery Team
Research Engineer/Research Scientist, Pre-training
Research Engineer, Safeguards Labs
Research Engineer, Environment Scaling
Top companies hiring
| Company | Median | Roles |
|---|---|---|
OpenAI
|
$307,500 | 236 |
|
Anthropic
|
$372,500 | 114 |
Databricks
|
$222,325 | 87 |
Astranis
|
$155,000 | 59 |
Pinterest
|
$260,867 | 50 |
| SA Scale AI | $243,000 | 42 |
DoorDash USA
|
$169,350 | 34 |
Okta
|
$230,650 | 28 |
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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 $225,000 per year. Most pay falls between $187,500 (25th percentile) and $275,000 (75th percentile), with the broader 10th–90th percentile band running from $151,500 to $337,428.
These figures are computed live from 4,106 active Data Engineer roles in San Francisco on JobsRadar, of which 2,001 (48.7%) 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.
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.