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

Data Pipeline Engineer (ML).

Houston.

$153,000

median salary, 3% below the national average

$116,000 to $202,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

A Data Pipeline Engineer (ML) in Houston earns a median of $153,000 in 2026. That is 3% below the national average. The range runs from $116,000 to $202,000, and where you land depends on your experience, your skills, and how well you negotiate. ML data pipeline engineers earn salaries based on the scale and complexity of data systems they build and maintain.

Salary range

25th Percentile

$116,000

per year

Median

$153,000

per year

75th Percentile

$202,000

per year

Tap to place your salary

$116,000$202,000

How Houston compares

Houston, TX

$153,000

Cost of living: 3% below average

National Average

$158,000

Houston is $5,000 below

What you should know

The Data Pipeline Engineer (ML) landscape in Houston is not what most salary sites will tell you. Houston's economy is deeply rooted in energy, with a growing presence in healthcare, aerospace, and technology. The Texas Medical Center is the world's largest, driving massive demand for clinical and research roles. Houston's low cost of living and no state income tax make it an attractive destination for professionals seeking strong purchasing power. 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 Houston, 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: texas has no state income tax, giving Houston workers strong take home pay. The city's overall cost of living is below the national average, further stretching your salary. When someone quotes you $153,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Emphasize industry specialization in energy or healthcare. Houston employers pay significant premiums for domain expertise in these sectors over generalist candidates. The range for Data Pipeline Engineer (ML)s in Houston runs from $116,000 to $202,000. 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 Houston

Energy & Oil/GasHealthcareAerospace & NASAManufacturingTechnology

Negotiating in Houston

Emphasize industry specialization in energy or healthcare. Houston employers pay significant premiums for domain expertise in these sectors over generalist candidates.

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.

Relevant certifications can add 5 to 15% to a Data Pipeline Engineer (ML)'s base salary in Houston. 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 $116,000 to $202,000, certifications often bridge the gap between the 50th and 75th percentile.

Houston's cost of living multiplier is 0.97x the national average. The adjusted median Data Pipeline Engineer (ML) salary of $153,000 accounts for this. In practice, a Data Pipeline Engineer (ML) earning $153,000 in Houston has roughly the same purchasing power as someone earning $157,732 in an average cost market.

Houston's economy is deeply rooted in energy, with a growing presence in healthcare, aerospace, and technology. The Texas Medical Center is the world's largest, driving massive demand for clinical and research roles. For Data Pipeline Engineer (ML)s specifically, the median salary of $153,000 reflects that demand.

Data Pipeline Engineer (ML) salary in other cities

Indianapolis$144,000
Kansas City$147,000
Los Angeles$186,000
Miami$177,000
Minneapolis$166,000
New York$202,000

Other salaries in Houston

Registered Nurse$80,000
Robotics AI Engineer$170,000
Reinforcement Learning Engineer$194,000
Respiratory Therapist$62,000

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