Feature Store Engineer.
San Diego.
$201,000
median salary, 17% above the national average
$152,000 to $263,000. Last updated April 2026.
Get the job.
Data points to own the conversation.
If you are evaluating a Feature Store Engineer offer in San Diego, CA, here is the reality: $152,000 to $263,000, with $201,000 as the midpoint. 17% above the national average. Feature store engineers build infrastructure that serves ML features at scale, a specialized role that combines data engineering with ML platform knowledge. Do not accept the first number.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $181,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$131,000
to $161,000
Mid (3-5 yrs)
$171,000
to $211,000
Senior (6-9 yrs)
$221,000
to $261,000
Lead (10+ yrs)
$251,000
to $312,000
Salary trend
+3% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $41,000 to the total package.
Base
$201,000
Equity
$22,000
Bonus
$15,000
Signing
$4,000
Estimated total: $242,000
How San Diego compares
San Diego, CA
$201,000
Cost of living: 17% above average
National Average
$172,000
San Diego is $29,000 above
Feature Store Engineer salary by city
Salary by role in San Diego
What you should know
Here is what the Feature Store Engineer market actually looks like in San Diego. San Diego's economy thrives on defense, biotech, and a growing tech startup scene. The city's proximity to major military installations drives strong aerospace and cybersecurity demand. Biotech companies along the Torrey Pines corridor compete aggressively for scientific and engineering talent, pushing specialized salaries close to Bay Area levels. Feature store engineers build infrastructure that serves ML features at scale, a specialized role that combines data engineering with ML platform knowledge. Experience with systems like Feast, Tecton, or custom feature platforms drives salary above standard data engineering roles. Companies running real-time ML inference at scale pay the highest premiums.
Junior feature store engineers earn $130,000 to $155,000. Engineers with 3 to 5 years of ML infrastructure experience reach $172,000 to $225,000. Senior engineers and tech leads earn $230,000 to $300,000, while staff engineers and ML platform architects can command $310,000 to $400,000. In San Diego, those numbers run higher. The cost of living here is 17% above average, and employers adjust to compete.
Base salary is not the full picture. ML platform companies offer equity packages of 20 to 40% of base salary. Annual bonuses typically range from 12 to 20%. Some firms provide additional compensation for on-call rotations supporting production feature serving systems at $10,000 to $20,000 annually. And on the tax side: california's top 13.3% state tax applies here. While San Diego has no city income tax, the state burden means you should negotiate gross pay higher than you might expect for the cost of living. When someone quotes you $201,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Leverage defense and biotech sector demand. Candidates with security clearances or specialized science backgrounds can command 15 to 20% premiums in San Diego. The range for Feature Store Engineers in San Diego runs from $152,000 to $263,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A Data Architect (AI/ML) in San Diego earns $202,000 (0% more)
- The highest-paying role in San Diego is Chief AI Officer at $370,000
Common questions.
Feature Store Engineer salary in other cities
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