What is the entry level Data Pipeline Engineer (ML) salary in Phoenix?

Entry level Data Pipeline Engineer (ML) positions in Phoenix start near $115,000. Candidates with strong backgrounds negotiate toward $152,000.

What certifications help Data Pipeline Engineer (ML)s earn more in Phoenix?

Certifications add 5 to 15% to Data Pipeline Engineer (ML) salaries in Phoenix. They help bridge the gap between the median of $152,000 and the 75th percentile of $200,000.

What is the career path for a Data Pipeline Engineer (ML)?

Junior ML pipeline engineers start at $120,000 to $142,000. Phoenix's COL multiplier amplifies compensation at senior levels.

Should I relocate to Phoenix for a Data Pipeline Engineer (ML) role?

Phoenix's cost of living is below the national average. Calculate take home pay after housing and taxes before relocating for a Data Pipeline Engineer (ML) role.

Data Pipeline Engineer (ML).

Q: What is the average Data Pipeline Engineer (ML) salary in Phoenix?

The average Data Pipeline Engineer (ML) salary in Phoenix, AZ is $152,000 in 2026. The 25th percentile is $115,000 and the 75th percentile is $200,000.

Phoenix.

$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.

Phoenix is 4% cheaper than the national average. For Data Pipeline Engineer (ML)s, that shakes out to a median of $152,000, with the full range spanning $115,000 to $200,000. ML data pipeline engineers earn salaries based on the scale and complexity of data systems they build and maintain. Know the range before you walk in.

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 Phoenix compares

Phoenix, AZ

$152,000

Cost of living: 4% below average

National Average

$158,000

Phoenix is $6,000 below

What you should know

The Data Pipeline Engineer (ML) landscape in Phoenix is not what most salary sites will tell you. Phoenix is one of the fastest growing metros in the U.S., fueled by semiconductor manufacturing, financial services, and tech company expansions. Intel, TSMC, and other chipmakers have made massive investments in the area. The combination of affordable housing and rising salaries has made Phoenix increasingly attractive to relocating 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 Phoenix, 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: arizona has a flat 2.5% income tax rate, one of the lowest in the nation. Phoenix has no additional city income tax, making overall take home pay very competitive. 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: Reference the influx of semiconductor and tech employers to justify higher offers. Phoenix salaries are rising fast, and employers know they must compete with coastal recruiters. The range for Data Pipeline Engineer (ML)s in Phoenix 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 Phoenix

Semiconductor ManufacturingFinancial ServicesHealthcareReal EstateTechnology

Negotiating in Phoenix

Reference the influx of semiconductor and tech employers to justify higher offers. Phoenix salaries are rising fast, and employers know they must compete with coastal recruiters.

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 Phoenix, AZ 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.

Entry level Data Pipeline Engineer (ML) positions in Phoenix typically start near $115,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $152,000. Junior ML pipeline engineers start at $120,000 to $142,000.

Relevant certifications can add 5 to 15% to a Data Pipeline Engineer (ML)'s base salary in Phoenix. 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 $115,000 to $200,000, certifications often bridge the gap between the 50th and 75th percentile.

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 Phoenix, each step up the ladder is amplified by the local cost of living multiplier, which means senior roles pay proportionally more than in lower cost markets.

Phoenix's cost of living is near the national average. Phoenix is one of the fastest growing metros in the U. Calculate your actual take home pay after housing, taxes, and transportation before deciding. A $152,000 salary here buys a different lifestyle than the same number in another market.