SQL salaries in San Francisco.
What SQL roles in San Francisco pay, from live listings on JobsRadar.
Compare with anotherMedian salary
$195,000
per year · annualized USD
Typical range
$158.3k – $234.8k
25th–75th percentile
Disclosing pay
47.1%
722 of 1,533 roles
Live roles
1,533
open right now
Salary distribution
annualized USD · disclosed rolesHighest-paying live roles
Performance Engineer, Inference Systems
Principal Machine Learning Engineer, Ads Delivery
Data Scientist, FinEng
Software Engineer, Backend
Data Engineer
Research Engineer - Environments, Data and Post-Training
Research Engineer – Benchmarking, Evals & Failure Analysis
Data Scientist
Top companies hiring
| Company | Median | Roles |
|---|---|---|
DoorDash USA
|
$130,200 | 73 |
Databricks
|
$195,875 | 48 |
|
OpenAI
|
$307,500 | 47 |
|
Anthropic
|
$286,250 | 38 |
|
Pinterest
|
$237,085 | 35 |
Airwallex
|
$195,000 | 30 |
Socure
|
$181,250 | 16 |
| SA Scale AI | $233,100 | 14 |
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How much do SQL roles in San Francisco pay?
The median salary for SQL roles in San Francisco is $195,000 per year. Most pay falls between $158,251 (25th percentile) and $234,750 (75th percentile), with the broader 10th–90th percentile band running from $126,150 to $294,950.
These figures are computed live from 1,533 active SQL roles in San Francisco on JobsRadar, of which 722 (47.1%) 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 SQL roles in San Francisco include Anthropic, Pinterest, 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.