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  1. Home/
  2. Salary/
  3. AI Data Engineer/
  4. San Francisco

AI Data Engineer.

San Francisco.

$209,000

median salary, 35% above the national average

$159,000 to $273,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

The median AI Data Engineer salary in San Francisco is $209,000, 35% above the national average. Entry level starts near $159,000. Experienced professionals push past $273,000. San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. That spread is your negotiation window.

Salary range

25th Percentile

$159,000

per year

Median

$209,000

per year

75th Percentile

$273,000

per year

Tap to place your salary

$159,000$273,000

How San Francisco compares

San Francisco, CA

$209,000

Cost of living: 35% above average

National Average

$155,000

San Francisco is $54,000 above

What you should know

If you are interviewing for AI Data Engineer roles in San Francisco, here is what you are walking into. San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The city's concentration of AI labs, SaaS companies, and fintech firms creates intense competition for talent. Despite remote work trends, SF still commands the steepest salary premiums for engineering and product roles. AI data engineers who build and maintain ML data pipelines earn premiums based on scale of data handled and complexity of feature engineering systems. Experience with streaming data platforms like Kafka alongside batch processing tools commands 10 to 20% higher pay. Cloud platform expertise in AWS, GCP, or Azure ML infrastructure is a baseline requirement.

Junior AI data engineers earn $118,000 to $140,000. Mid-level engineers with 3 to 5 years managing ML pipelines reach $155,000 to $200,000. Senior engineers and tech leads earn $205,000 to $270,000, while staff engineers and directors of ML infrastructure can command $290,000 to $380,000. In San Francisco, those numbers run higher. The cost of living here is 35% above average, and employers adjust to compete.

Base salary is not the full picture. Tech companies offer equity grants of 15 to 25% of base salary with four-year vesting. Annual bonuses range from 10 to 15%, and on-call compensation for maintaining production ML pipelines adds $5,000 to $15,000 annually at some firms. And on the tax side: california's top marginal state income tax rate is 13.3%, the highest in the U.S. San Francisco has no additional city income tax, but overall tax burden remains steep. When someone quotes you $209,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here. The range for AI Data Engineers in San Francisco runs from $159,000 to $273,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Top industries in San Francisco

Software & SaaSArtificial IntelligenceFintechBiotechVenture Capital

Negotiating in San Francisco

Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here.

Common questions.

AI data engineers earn 10 to 15% more than general data engineers due to specialized skills in feature engineering, model serving infrastructure, and ML-specific data formats. Understanding of model training requirements and experiment tracking systems further differentiates compensation.

Proficiency in Spark, Airflow, and dbt combined with ML-specific tools like MLflow, Feast, and Kubeflow drives the highest salaries. Engineers who can build end-to-end ML pipelines from data ingestion through model deployment earn 15 to 20% above those with narrower skill sets.

San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The city's concentration of AI labs, SaaS companies, and fintech firms creates intense competition for talent. For AI Data Engineers specifically, the median salary of $209,000 reflects that demand.

AI Data Engineer compensation in San Francisco has trended upward as demand outpaces supply. The 2026 range of $159,000 to $273,000 reflects a market that rewards specialization. AI data engineers who build and maintain ML data pipelines earn premiums based on scale of data handled and complexity of feature engineering systems.

Tech companies offer equity grants of 15 to 25% of base salary with four-year vesting. Annual bonuses range from 10 to 15%, and on-call compensation for maintaining production ML pipelines adds $5,000 to $15,000 annually at some firms. In San Francisco's market, the base range of $159,000 to $273,000 is just the starting point for negotiation.

AI Data Engineer salary in other cities

Washington DC$194,000
Austin$160,000
Atlanta$158,000
Boston$189,000
Chicago$166,000
Charlotte$150,000

Other salaries in San Francisco

Operations Manager$124,000
Occupational Therapist$116,000
Optometrist$173,000
Optical Character Recognition Engineer$209,000

Related

Salary ExplorerInterview PrepResume ScoreJob Search Guide

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