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

Data Pipeline Engineer (ML).

Pittsburgh.

$145,000

median salary, 8% below the national average

$110,000 to $191,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

Data Pipeline Engineer (ML) pay in Pittsburgh ranges from $110,000 to $191,000 in 2026. The median is $145,000, 8% below the national average. Pittsburgh has reinvented itself from a steel city into a hub for robotics, autonomous vehicles, and healthcare technology. Every dollar in that range is negotiable if you come prepared.

Salary range

25th Percentile

$110,000

per year

Median

$145,000

per year

75th Percentile

$191,000

per year

Tap to place your salary

$110,000$191,000

How Pittsburgh compares

Pittsburgh, PA

$145,000

Cost of living: 8% below average

National Average

$158,000

Pittsburgh is $13,000 below

What you should know

If you are interviewing for Data Pipeline Engineer (ML) roles in Pittsburgh, here is what you are walking into. Pittsburgh has reinvented itself from a steel city into a hub for robotics, autonomous vehicles, and healthcare technology. Carnegie Mellon University feeds a strong talent pipeline into AI and robotics companies. The city's low cost of living combined with world class research institutions makes it a hidden gem for technology professionals. 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 Pittsburgh, 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 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: pennsylvania's flat 3.07% state tax is low, but Pittsburgh adds a local earned income tax of about 3%. Combined with the school district tax, local taxes require attention in negotiations. When someone quotes you $145,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Highlight robotics or AI specialization. Pittsburgh employers tied to CMU's research ecosystem pay nationally competitive salaries for candidates with advanced technical skills. The range for Data Pipeline Engineer (ML)s in Pittsburgh runs from $110,000 to $191,000. 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 Pittsburgh

Robotics & AIHealthcareHigher EducationFinancial ServicesEnergy

Negotiating in Pittsburgh

Highlight robotics or AI specialization. Pittsburgh employers tied to CMU's research ecosystem pay nationally competitive salaries for candidates with advanced technical skills.

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.

The national median for a Data Pipeline Engineer (ML) is $157,609. In Pittsburgh, cost of living adjustments push the median to $145,000. That discount reflects Pittsburgh's lower housing, transportation, and everyday costs.

Pittsburgh has reinvented itself from a steel city into a hub for robotics, autonomous vehicles, and healthcare technology. Carnegie Mellon University feeds a strong talent pipeline into AI and robotics companies. For Data Pipeline Engineer (ML)s specifically, the median salary of $145,000 reflects that demand.

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. In Pittsburgh's market, the base range of $110,000 to $191,000 is just the starting point for negotiation.

Pittsburgh's cost of living is near the national average. Pittsburgh has reinvented itself from a steel city into a hub for robotics, autonomous vehicles, and healthcare technology. Calculate your actual take home pay after housing, taxes, and transportation before deciding. A $145,000 salary here buys a different lifestyle than the same number in another market.

Pittsburgh's economy is driven by Robotics & AI, Healthcare, Higher Education, and Financial Services. Data Pipeline Engineer (ML)s are hired across these sectors, though compensation can vary 15 to 25% between industries. Company size and funding stage also influence total packages significantly.

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 Pittsburgh

Registered Nurse$75,000
Robotics AI Engineer$161,000
Reinforcement Learning Engineer$184,000
Respiratory Therapist$59,000

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