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

AI Data Engineer.

Washington DC.

$194,000

median salary, 25% above the national average

$148,000 to $253,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

Here is what AI Data Engineers actually make in Washington DC: $148,000 at the 25th percentile, $194,000 at the median, and $253,000 at the 75th. That is 25% above the national average. Washington DC's job market is shaped by the federal government, defense contractors, and a growing commercial tech sector. The number on your offer letter will depend on what you bring and how you ask.

Salary range

25th Percentile

$148,000

per year

Median

$194,000

per year

75th Percentile

$253,000

per year

Tap to place your salary

$148,000$253,000

How Washington DC compares

Washington DC, DC

$194,000

Cost of living: 25% above average

National Average

$155,000

Washington DC is $39,000 above

What you should know

If you are interviewing for AI Data 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 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 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 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: 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 $194,000, 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 Engineers in Washington DC runs from $148,000 to $253,000. 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.

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.

The national median for a AI Data Engineer is $155,200. In Washington DC, cost of living adjustments push the median to $194,000. That premium reflects Washington DC's higher housing, transportation, and everyday costs.

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 Washington DC's market, the base range of $148,000 to $253,000 is just the starting point for negotiation.

Washington DC's economy is driven by Federal Government, Defense & Cybersecurity, Consulting, and Technology. AI Data 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.

Washington DC's cost of living is 25% above the national average. Washington DC's job market is shaped by the federal government, defense contractors, and a growing commercial tech sector. Calculate your actual take home pay after housing, taxes, and transportation before deciding. A $194,000 salary here buys a different lifestyle than the same number in another market.

AI Data Engineer salary in other cities

Austin$160,000
Atlanta$158,000
Boston$189,000
Chicago$166,000
Charlotte$150,000
Columbus$144,000

Other salaries in Washington DC

Operations Manager$115,000
Occupational Therapist$108,000
Optometrist$160,000
Optical Character Recognition Engineer$194,000

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