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  1. Home/
  2. Salary/
  3. AI Data Quality Engineer/
  4. Washington DC

AI Data Quality Engineer.

Washington DC.

$175,000

median salary, 25% above the national average

$131,000 to $231,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

The median AI Data Quality Engineer salary in Washington DC is $175,000, 25% above the national average. Entry level starts near $131,000. Experienced professionals push past $231,000. Washington DC's job market is shaped by the federal government, defense contractors, and a growing commercial tech sector. That spread is your negotiation window.

Salary range

25th Percentile

$131,000

per year

Median

$175,000

per year

75th Percentile

$231,000

per year

Tap to place your salary

$131,000$231,000

How Washington DC compares

Washington DC, DC

$175,000

Cost of living: 25% above average

National Average

$140,000

Washington DC is $35,000 above

What you should know

If you are interviewing for AI Data Quality Engineer roles in Washington DC, here is what you are walking into. Washington DC's job market is shaped by the federal government, defense contractors, and a growing commercial tech sector. Cybersecurity, cloud computing, and consulting firms drive demand for cleared professionals. The region's stability, combined with high government pay scales, creates a salary floor that pulls private sector compensation upward. 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 Washington DC, those numbers run higher. The cost of living here is 25% above average, and employers adjust to compete.

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: dC income tax rates reach 10.75% for high earners. Maryland and Virginia residents working in DC face their own state taxes. Choose your residence jurisdiction carefully to optimize net pay. When someone quotes you $175,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: A security clearance is your strongest negotiation asset. Cleared professionals in DC command 20 to 30% premiums, and transferring your clearance to a new employer saves them significant time and cost. The range for AI Data Quality Engineers in Washington DC runs from $131,000 to $231,000. 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 Washington DC

Federal GovernmentDefense & CybersecurityConsultingTechnologyNonprofit & Policy

Negotiating in Washington DC

A security clearance is your strongest negotiation asset. Cleared professionals in DC command 20 to 30% premiums, and transferring your clearance to a new employer saves them significant time and cost.

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.

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. In Washington DC, these factors can push compensation from the 25th percentile of $131,000 to the 75th percentile of $231,000 or beyond.

In 2026, the average AI Data Quality Engineer salary in Washington DC, DC is $175,000. The 25th percentile sits at $131,000 and the 75th percentile reaches $231,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Remote work has compressed geographic salary premiums for AI Data Quality Engineers. Some Washington DC employers offer location adjusted pay, while others maintain local rates to attract in office talent. In a high cost market like Washington DC, remote roles may pay 10 to 20% less than local positions. The $131,000 to $231,000 range reflects both arrangements.

AI Data Quality Engineer salary in other cities

Austin$144,000
Atlanta$143,000
Boston$171,000
Chicago$150,000
Charlotte$136,000
Columbus$130,000

Other salaries in Washington DC

UX Designer$131,000
Urban Planner$90,000
Unstructured Data Engineer$190,000
Veterinarian$140,000

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