AI Healthcare Data Engineer.
Kansas City.
$133,000
median salary, 5% below the national average
$100,000 to $169,000. Last updated April 2026.
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Data points to own the conversation.
If you are evaluating a AI Healthcare Data Engineer offer in Kansas City, MO, here is the reality: $100,000 to $169,000, with $133,000 as the midpoint. 5% below the national average. Compensation reflects the specialized knowledge needed to work with healthcare data formats (HL7, FHIR, DICOM) and privacy regulations (HIPAA, HITECH). Do not accept the first number.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $120,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$86,000
to $106,000
Mid (3-5 yrs)
$113,000
to $140,000
Senior (6-9 yrs)
$146,000
to $173,000
Lead (10+ yrs)
$166,000
to $206,000
Salary trend
+9% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $58,000 to the total package.
Base
$133,000
Equity
$35,000
Bonus
$15,000
Signing
$8,000
Estimated total: $191,000
How Kansas City compares
Kansas City, MO
$133,000
Cost of living: 7% below average
National Average
$140,000
Kansas City is $7,000 below
AI Healthcare Data Engineer salary by city
Salary by role in Kansas City
What you should know
The AI Healthcare Data Engineer landscape in Kansas City is not what most salary sites will tell you. Kansas City straddles Missouri and Kansas, creating a unique dual state job market with strong logistics, tech, and agriculture technology sectors. The metro's central location has made it a hub for distribution centers and supply chain companies. Cerner's healthcare IT presence and a growing startup scene have boosted demand for technology professionals. 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 Kansas City, cost of living sits near the national average, so the numbers you see are roughly what you keep.
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: missouri's top income tax rate is about 4.8%, and Kansas City adds a 1% earnings tax. Workers living in Kansas face that state's rates instead. Choose your side of the state line carefully. When someone quotes you $133,000, ask what the total package looks like. The gap between base and total comp is where real money hides.
On negotiation: Negotiate which side of the state line you will be based on. Your tax situation differs meaningfully between Missouri and Kansas, and some employers offer flexibility on office location. The range for AI Healthcare Data Engineers in Kansas City runs from $100,000 to $169,000. 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 Mobile Developer in Kansas City earns $132,000 (1% less)
- The highest-paying role in Kansas City is Distinguished Engineer at $304,000
Common questions.
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