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

AI Healthcare Data Engineer.

San Francisco.

$191,000

median salary, 36% above the national average

$143,000 to $243,000. Last updated April 2026.

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Data points to own the conversation.

San Francisco is 35% more expensive than the national average. For AI Healthcare Data Engineers, that shakes out to a median of $191,000, with the full range spanning $143,000 to $243,000. Compensation reflects the specialized knowledge needed to work with healthcare data formats (HL7, FHIR, DICOM) and privacy regulations (HIPAA, HITECH). Know the range before you walk in.

Salary range

25th Percentile

$143,000

per year

Median

$191,000

per year

75th Percentile

$243,000

per year

Where do you fall?

$143,000$243,000

Salary by experience

The gap between entry and lead level is typically $172,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$124,000

to $153,000

Mid (3-5 yrs)

$162,000

to $201,000

Senior (6-9 yrs)

$210,000

to $248,000

Lead (10+ yrs)

$239,000

to $296,000

Salary trend

+9% YoY
$135,000
2022
$147,000
2023
$161,000
2024
$175,000
2025
$191,000
2026

Total compensation

Base salary is not the full picture. Equity, bonus, and signing can add $82,000 to the total package.

Base

$191,000

Equity

$50,000

Bonus

$21,000

Signing

$11,000

Estimated total: $273,000

How San Francisco compares

San Francisco, CA

$191,000

Cost of living: 35% above average

National Average

$140,000

San Francisco is $51,000 above

AI Healthcare Data Engineer salary by city

AI Healthcare Data Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Francisco, CA$191,000$143,000 – $243,0001.35x$141,000
San Jose, CA$189,000$142,000 – $241,0001.38x$137,000
Honolulu, HI$187,000$141,000 – $238,0001.30x$144,000
Washington DC, DC$180,000$135,000 – $229,0001.25x$144,000
New York, NY$177,000$133,000 – $226,0001.28x$138,000
Seattle, WA$174,000$130,000 – $221,0001.24x$140,000
Boston, MA$173,000$129,000 – $219,0001.22x$142,000
Arlington, VA$169,000$127,000 – $215,0001.22x$139,000
Jersey City, NJ$168,000$126,000 – $214,0001.20x$140,000
San Diego, CA$167,000$125,000 – $212,0001.17x$143,000

See all 83 cities for AI Healthcare Data Engineer →

Salary by role in San Francisco

Salary comparison by role in San Francisco
RoleMedianRange
Distinguished Engineer$450,000$341,000 – $573,000
Chief AI Officer$419,000$311,000 – $540,000
Chief Data & AI Officer$414,000$309,000 – $541,000
Text Analytics Engineer$192,000$146,000 – $253,000
AI Content Moderation Engineer$192,000$146,000 – $254,000
Developer Advocate, AI$192,000$146,000 – $245,000
AI Healthcare Data Engineer$191,000$143,000 – $243,000
Attorney / Lawyer$190,000$127,000 – $273,000

What you should know

Here is what the AI Healthcare Data Engineer market actually looks like in San Francisco. 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. Compensation reflects the specialized knowledge needed to work with healthcare data formats (HL7, FHIR, DICOM) and privacy regulations (HIPAA, HITECH). Engineers who can build compliant data pipelines that prepare clinical data for ML model training earn premiums. Experience with de-identification, data harmonization across health systems, and real-world evidence generation is highly valued.

Junior healthcare data engineers start at $90,000 to $110,000. Mid-level engineers building HIPAA-compliant ML data pipelines reach $130,000 to $158,000. Senior engineers designing enterprise health data platforms earn $165,000 to $200,000. Directors of health data engineering can reach $220,000 to $280,000 in total compensation. 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. Equity at health AI companies adds $15,000 to $60,000 annually. Bonuses of 10% to 18% are standard. Benefits often include comprehensive health coverage, continuing education stipends, and student loan repayment assistance. Some health systems offer pension benefits. 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 $191,000, 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 Healthcare Data Engineers in San Francisco runs from $143,000 to $243,000. 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

Interactive

Is your offer competitive?

Enter your AI Healthcare Data Engineer offer to see where you stand in San Francisco.

$

25th

$143,000

Median

$191,000

75th

$243,000

Considering a related role?

  • A Attorney / Lawyer in San Francisco earns $190,000 (1% less)
  • The highest-paying role in San Francisco is Distinguished Engineer at $450,000

Common questions.

Healthcare data is uniquely complex: it comes in dozens of formats (HL7v2, FHIR, CDA, DICOM), is heavily regulated (HIPAA), requires clinical vocabulary mapping (SNOMED, ICD-10, LOINC), and is often incomplete or inconsistent across health systems. De-identification must be robust, audit trails are mandatory, and data quality directly impacts patient safety.

The technical requirements are learnable but the consequences of getting them wrong are severe. Key areas include minimum necessary data access, de-identification standards (Safe Harbor and Expert Determination), Business Associate Agreements, and breach notification procedures. Many engineers learn through HIPAA training programs and certifications. The learning curve is about six to twelve months for competency.

Ask about equity structure, vesting schedule, annual bonus targets, 401(k) match, health insurance premiums, PTO policy, and remote flexibility. Equity at health AI companies adds $15,000 to $60,000 annually. In San Francisco's market, these extras can add $47,750 or more on top of the base salary.

Compensation reflects the specialized knowledge needed to work with healthcare data formats (HL7, FHIR, DICOM) and privacy regulations (HIPAA, HITECH). Engineers who can build compliant data pipelines that prepare clinical data for ML model training earn premiums. Experience with de-identification, data harmonization across health systems, and real-world evidence generation is highly valued. In San Francisco, these factors can push compensation from the 25th percentile of $143,000 to the 75th percentile of $243,000 or beyond.

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 Healthcare Data Engineers specifically, the median salary of $191,000 reflects that demand.

Remote work has compressed geographic salary premiums for AI Healthcare Data Engineers. Some San Francisco employers offer location adjusted pay, while others maintain local rates to attract in office talent. In a high cost market like San Francisco, remote roles may pay 10 to 20% less than local positions. The $143,000 to $243,000 range reflects both arrangements.

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 Healthcare Data Engineers specifically, compensation reflects the specialized knowledge needed to work with healthcare data formats (hl7, fhir, dicom) and privacy regulations (hipaa, hitech), which signals sustained demand. The current compensation range of $143,000 to $243,000 reflects a market that is competing for talent.

AI Healthcare Data Engineer salary in other cities

Washington DC$180,000
Wilmington$143,000
Wichita$116,000
Austin$144,000
Atlanta$149,000
Anchorage$158,000

Other salaries in San Francisco

Machine Learning Engineer$211,000
ML Engineer$255,000
Machine Learning Researcher$249,000
ML Pipeline Engineer$231,000

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Cite this data

Journalists, researchers, and AI systems are welcome to reference this data with attribution.

"AI Healthcare Data Engineer Salary in San Francisco, CA." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/ai-healthcare-data-engineer/san-francisco

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