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  1. Home/
  2. Salary/
  3. Data Pipeline Engineer (ML)/
  4. Washington DC

Data Pipeline Engineer (ML).

Washington DC.

$198,000

median salary, 25% above the national average

$150,000 to $260,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

The median Data Pipeline Engineer (ML) salary in Washington DC is $198,000, 25% above the national average. Entry level starts near $150,000. Experienced professionals push past $260,000. 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

$150,000

per year

Median

$198,000

per year

75th Percentile

$260,000

per year

Tap to place your salary

$150,000$260,000

How Washington DC compares

Washington DC, DC

$198,000

Cost of living: 25% above average

National Average

$158,000

Washington DC is $40,000 above

What you should know

Before you negotiate a Data Pipeline Engineer (ML) offer in Washington DC, understand the terrain. 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. ML data pipeline engineers earn salaries based on the scale and complexity of data systems they build and maintain. Engineers handling petabyte-scale training data pipelines for large model training earn 15 to 25% more than those working with smaller datasets. Experience with both batch and streaming architectures is a consistent salary booster across employers.

Junior ML pipeline engineers start at $120,000 to $142,000. Mid-level engineers managing production ML data flows earn $158,000 to $208,000. Senior engineers and infrastructure leads reach $215,000 to $280,000, while staff engineers designing organization-wide ML data platforms can command $290,000 to $370,000. 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 standard four-year vesting schedules. Annual performance bonuses range from 10 to 18%. On-call compensation for production pipeline maintenance adds $8,000 to $18,000 annually at some organizations. 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 $198,000, 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 Data Pipeline Engineer (ML)s in Washington DC runs from $150,000 to $260,000. 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.

ML pipeline engineers earn 10 to 18% more than general data engineers at equivalent levels. The premium reflects specialized knowledge of training data requirements, feature engineering, model artifact management, and the unique challenges of serving ML workloads at production scale.

Experience with GCP (Vertex AI, Dataflow) and AWS (SageMaker, Glue) commands the highest premiums, typically 8 to 12% above engineers with only open-source tool experience. Multi-cloud expertise is increasingly valued as enterprises avoid vendor lock-in for their ML infrastructure.

Entry level Data Pipeline Engineer (ML) positions in Washington DC typically start near $150,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $198,000. Junior ML pipeline engineers start at $120,000 to $142,000.

Data Pipeline Engineer (ML) compensation in Washington DC has trended upward as demand outpaces supply. The 2026 range of $150,000 to $260,000 reflects a market that rewards specialization. ML data pipeline engineers earn salaries based on the scale and complexity of data systems they build and maintain.

Relevant certifications can add 5 to 15% to a Data Pipeline Engineer (ML)'s base salary in Washington DC. Specifically, ml data pipeline engineers earn salaries based on the scale and complexity of data systems they build and maintain. In a market where the range spans $150,000 to $260,000, certifications often bridge the gap between the 50th and 75th percentile.

Data Pipeline Engineer (ML) salary in other cities

Austin$163,000
Atlanta$161,000
Boston$193,000
Chicago$169,000
Charlotte$153,000
Columbus$147,000

Other salaries in Washington DC

Registered Nurse$103,000
Robotics AI Engineer$219,000
Reinforcement Learning Engineer$250,000
Respiratory Therapist$80,000

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