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  1. Home/
  2. Salary/
  3. AI Data Quality Engineer/
  4. St. Louis

AI Data Quality Engineer.

St. Louis.

$126,000

median salary, 10% below the national average

$95,000 to $167,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

Here is what AI Data Quality Engineers actually make in St. Louis: $95,000 at the 25th percentile, $126,000 at the median, and $167,000 at the 75th. That is 10% below the national average. St. The number on your offer letter will depend on what you bring and how you ask.

Salary range

25th Percentile

$95,000

per year

Median

$126,000

per year

75th Percentile

$167,000

per year

Tap to place your salary

$95,000$167,000

How St. Louis compares

St. Louis, MO

$126,000

Cost of living: 10% below average

National Average

$140,000

St. Louis is $14,000 below

What you should know

If you are interviewing for AI Data Quality Engineer roles in St. Louis, here is what you are walking into. St. Louis offers one of the most affordable major metro areas in the country, with a strong base in healthcare, financial services, and manufacturing. The region's anchor employers include Boeing, Centene, and Washington University's medical campus. A growing biotech and plant sciences corridor centered on the Cortex Innovation District is attracting new investment and talent. AI data quality engineers ensure training and serving data meets standards for ML model reliability. Salary is driven by experience with data validation frameworks, drift detection systems, and automated quality monitoring at scale. Engineers working in regulated industries like healthcare and finance earn 12 to 20% premiums due to compliance requirements.

Junior AI data quality engineers earn $105,000 to $125,000. Engineers with 3 to 5 years of ML data quality experience reach $140,000 to $185,000. Senior engineers and quality team leads earn $190,000 to $248,000, while directors of data quality at enterprise AI companies can command $255,000 to $330,000. In St. Louis, 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. Tech companies provide equity grants of 12 to 22% of base salary. Bonuses range from 10 to 15% annually. Some firms offer additional compensation for maintaining critical data quality SLAs, adding $5,000 to $12,000 for on-call responsibilities. And on the tax side: missouri's top income tax rate is about 4.8%, and St. Louis City adds a 1% earnings tax. The low base cost of living means your after tax salary still stretches further than in most metros. When someone quotes you $126,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Emphasize your willingness to work in person at Cortex or the BJC campus. St. Louis employers offer higher packages for candidates who commit to the local innovation hubs. The range for AI Data Quality Engineers in St. Louis runs from $95,000 to $167,000. 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 St. Louis

HealthcareDefense & AerospaceFinancial ServicesPlant Sciences & BiotechManufacturing

Negotiating in St. Louis

Emphasize your willingness to work in person at Cortex or the BJC campus. St. Louis employers offer higher packages for candidates who commit to the local innovation hubs.

Common questions.

Data quality is widely recognized as the most impactful factor in ML model performance, which is driving salary growth of 12 to 18% annually for this role. Companies that have experienced model failures due to data issues are especially willing to invest in quality engineering talent.

Great Expectations, Deequ, and TensorFlow Data Validation are foundational tools. Experience with custom drift detection, schema validation, and automated anomaly detection in data pipelines adds 8 to 15% to salary offers. Familiarity with data observability platforms like Monte Carlo is also valued.

The national median for a AI Data Quality Engineer is $140,000. In St. Louis, cost of living adjustments push the median to $126,000. That discount reflects St. Louis's lower housing, transportation, and everyday costs.

Tech companies provide equity grants of 12 to 22% of base salary. Bonuses range from 10 to 15% annually. Some firms offer additional compensation for maintaining critical data quality SLAs, adding $5,000 to $12,000 for on-call responsibilities. In St. Louis's market, the base range of $95,000 to $167,000 is just the starting point for negotiation.

St. Louis's economy is driven by Healthcare, Defense & Aerospace, Financial Services, and Plant Sciences & Biotech. AI Data Quality Engineers are hired across these sectors, though compensation can vary 15 to 25% between industries. Company size and funding stage also influence total packages significantly.

St. Louis's cost of living is near the national average. St. Calculate your actual take home pay after housing, taxes, and transportation before deciding. A $126,000 salary here buys a different lifestyle than the same number in another market.

AI Data Quality Engineer salary in other cities

Houston$136,000
Indianapolis$127,000
Kansas City$130,000
Los Angeles$165,000
Miami$157,000
Minneapolis$147,000

Other salaries in St. Louis

UX Designer$95,000
Urban Planner$65,000
Unstructured Data Engineer$137,000
Veterinarian$101,000

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