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

Data Pipeline Engineer (ML).

Tampa.

$152,000

median salary, 4% below the national average

$115,000 to $200,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

If you are evaluating a Data Pipeline Engineer (ML) offer in Tampa, FL, here is the reality: $115,000 to $200,000, with $152,000 as the midpoint. 4% below the national average. ML data pipeline engineers earn salaries based on the scale and complexity of data systems they build and maintain. Do not accept the first number.

Salary range

25th Percentile

$115,000

per year

Median

$152,000

per year

75th Percentile

$200,000

per year

Tap to place your salary

$115,000$200,000

How Tampa compares

Tampa, FL

$152,000

Cost of living: 4% below average

National Average

$158,000

Tampa is $6,000 below

What you should know

Here is what the Data Pipeline Engineer (ML) market actually looks like in Tampa. Tampa's economy combines a strong financial services sector with growing tech, healthcare, and defense industries. The city has attracted remote workers and corporate relocations seeking Florida's tax advantages. Tampa offers a favorable salary to cost of living ratio, with compensation levels that have risen significantly as the metro continues to grow. 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 Tampa, 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: florida has no state income tax, which is Tampa's biggest compensation advantage. There are no local income taxes either. Property taxes and insurance costs are the main financial considerations. When someone quotes you $152,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Frame your salary expectations against the no income tax benefit. Tampa employers know candidates are factoring in the tax savings, so be explicit about how it shapes your number. The range for Data Pipeline Engineer (ML)s in Tampa runs from $115,000 to $200,000. 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 Tampa

Financial ServicesHealthcareTechnologyDefense & MilitaryTourism

Negotiating in Tampa

Frame your salary expectations against the no income tax benefit. Tampa employers know candidates are factoring in the tax savings, so be explicit about how it shapes your number.

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.

In 2026, the average Data Pipeline Engineer (ML) salary in Tampa, FL is $152,000. The 25th percentile sits at $115,000 and the 75th percentile reaches $200,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

In Tampa, large enterprises typically pay Data Pipeline Engineer (ML)s 10 to 20% more in base salary than small companies, but startups often compensate with equity that can exceed base salary value. Tech companies offer equity grants of 15 to 25% of base salary with standard four-year vesting schedules. The $115,000 to $200,000 range reflects this entire spectrum.

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 Tampa's market, the base range of $115,000 to $200,000 is just the starting point for negotiation.

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. In Tampa, these factors can push compensation from the 25th percentile of $115,000 to the 75th percentile of $200,000 or beyond.

Data Pipeline Engineer (ML) salary in other cities

Philadelphia$172,000
Phoenix$152,000
Portland$174,000
Pittsburgh$145,000
Raleigh$156,000
San Francisco$213,000

Other salaries in Tampa

Registered Nurse$79,000
Robotics AI Engineer$168,000
Reinforcement Learning Engineer$192,000
Respiratory Therapist$61,000

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