Median salary
$209,000
per year · annualized USD
Typical range
$171.8k – $253.1k
25th–75th percentile
Disclosing pay
76.3%
251 of 329 roles
Live roles
329
open right now
Data Infrastructure Engineer, Pre-training
Staff+ Research Engineer, RL Data Platform
Software Engineer - Data Aquisition (systems)
Software Engineer, Data Acquisition
Senior Staff Backline Engineer - Data & AI
Machine Learning Engineer, Distributed Data Systems - Robotics
Software Engineer, Search Systems - Code Data
Software Engineer, Frontier Data Products
| Company | Median | Roles |
|---|---|---|
OpenAI
|
$309,500 | 14 |
Anduril Industries
|
$170,000 | 13 |
Anthropic
|
$362,500 | 10 |
Databricks
|
$224,163 | 8 |
Nuro
|
$242,540 | 7 |
Brex
|
$216,000 | 7 |
DoorDash USA
|
$161,300 | 7 |
Mercor
|
$315,000 | 5 |
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The median salary for Data Engineer roles in California is $209,000 per year. Most pay falls between $171,775 (25th percentile) and $253,094 (75th percentile), with the broader 10th–90th percentile band running from $149,588 to $315,000.
These figures are computed live from 329 active Data Engineer roles in California on JobsRadar, of which 251 (76.3%) 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 California include Anthropic, OpenAI, Databricks 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.