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AI Data Engineer.

Phoenix.

$129,000

median salary, 5% below the national average

$99,000 to $166,000. Last updated August 2026.

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Data points to own the conversation.

An AI Data Engineer in Phoenix earns a median of $129,000 in 2026. That is 5% below the national average. The range runs from $99,000 to $166,000, and where you land depends on your experience, your skills, and how well you negotiate. AI data engineers who build and maintain ML data pipelines earn premiums based on scale of data handled and complexity of feature engineering systems. These figures are Orbyt estimates, computed rather than measured, and must not be cited as Bureau of Labor Statistics figures; the published BLS wage for the occupation this role maps to is shown separately on this page.

Salary range.

25th Percentile

$99,000

per year

Median

$129,000

per year

75th Percentile

$166,000

per year

Where do you fall?

$99,000$166,000

Orbyt estimate for AI Data Engineer in Phoenix, modelled from national occupation wages adjusted for local cost of living. The published government benchmark for this occupation is below.

Government benchmark for this occupation

The US Bureau of Labor Statistics reports a median annual wage of $156,100 for Database Architects (SOC 15-1243) in the Phoenix-Mesa-Chandler, AZ metropolitan area, based on 980 employed workers (May 2025 release).

10th percentile

$99,730

25th percentile

$131,130

Median

$156,100

75th percentile

$156,100

90th percentile

$175,260

Workers surveyed

980

BLS publishes wages by occupation code, not by job title, so this figure covers every role mapped to Database Architects (SOC 15-1243) rather than AI Data Engineer specifically. The Phoenix range at the top of this page is Orbyt’s role-level estimate, which is a different thing and is labelled as such.

View the BLS source for SOC 15-1243

Salary by experience.

The gap between entry and lead level is typically $116,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$84,000

to $103,000

Mid (3-5 yrs)

$110,000

to $135,000

Senior (6-9 yrs)

$142,000

to $168,000

Lead (10+ yrs)

$161,000

to $200,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $54,000 to the total package.

Base

$129,000

Equity

$32,000

Bonus

$14,000

Signing

$8,000

Estimated total: $183,000

How Phoenix compares.

Phoenix, AZ

$129,000

Cost of living: 4% below average

National Average

$136,000

Phoenix is $7,000 below

AI Data Engineer salary by city.

AI Data Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Jose, CA$195,000$149,000 to $251,0001.38x$141,000
San Francisco, CA$184,000$140,000 to $236,0001.35x$136,000
Honolulu, HI$184,000$141,000 to $237,0001.30x$142,000
Seattle, WA$175,000$134,000 to $226,0001.24x$141,000
Washington DC, DC$173,000$133,000 to $223,0001.25x$138,000
Boston, MA$171,000$131,000 to $220,0001.22x$140,000
New York, NY$167,000$128,000 to $215,0001.28x$130,000
Los Angeles, CA$164,000$125,000 to $211,0001.18x$139,000
Newark, NJ$159,000$121,000 to $204,0001.18x$135,000
Phoenix, AZ$129,000$99,000 to $166,0000.96x$134,000

See all 81 cities for AI Data Engineer →

Salary by role in Phoenix.

Salary comparison by role in Phoenix
RoleMedianRange
CTO$279,000$218,000 to $363,000
General Counsel$271,000$211,000 to $353,000
CEO$264,000$192,000 to $365,000
AI Data Engineer$129,000$99,000 to $166,000
LLM Engineer$129,000$96,000 to $169,000
Recommendation Systems Engineer$129,000$100,000 to $164,000
Pharmacist$129,000$116,000 to $149,000
Software Developer$129,000$100,000 to $164,000

What you should know.

Here is what the AI Data Engineer market actually looks like in Phoenix. 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. AI data engineers who build and maintain ML data pipelines earn premiums based on scale of data handled and complexity of feature engineering systems. Experience with streaming data platforms like Kafka alongside batch processing tools commands 10 to 20% higher pay. Cloud platform expertise in AWS, GCP, or Azure ML infrastructure is a baseline requirement.

Junior AI data engineers earn $118,000 to $140,000. Mid-level engineers with 3 to 5 years managing ML pipelines reach $155,000 to $200,000. Senior engineers and tech leads earn $205,000 to $270,000, while staff engineers and directors of ML infrastructure can command $290,000 to $380,000. 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 four-year vesting. Annual bonuses range from 10 to 15%, and on-call compensation for maintaining production ML pipelines adds $5,000 to $15,000 annually at some firms. 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 $129,000, 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 AI Data Engineers in Phoenix runs from $99,000 to $166,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Sources: BLS OES, H-1B LCA (DOL). COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified July 1, 2026. Full methodology

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$

25th

$99,000

Median

$129,000

75th

$166,000

Considering a related role?

Common questions.

AI data engineers earn 10 to 15% more than general data engineers due to specialized skills in feature engineering, model serving infrastructure, and ML-specific data formats. Understanding of model training requirements and experiment tracking systems further differentiates compensation.

Proficiency in Spark, Airflow, and dbt combined with ML-specific tools like MLflow, Feast, and Kubeflow drives the highest salaries. Engineers who can build end-to-end ML pipelines from data ingestion through model deployment earn 15 to 20% above those with narrower skill sets.

It depends on the position and employer. Many AI Data Engineers in Phoenix are classified as exempt salaried employees without overtime eligibility. However, tech companies offer equity grants of 15 to 25% of base salary with four-year vesting. When evaluating the $99,000 to $166,000 range, ask about the total compensation structure during negotiation.

The national median for an AI Data Engineer is $134,375. In Phoenix, cost of living adjustments push the median to $129,000. That discount reflects Phoenix's lower housing, transportation, and everyday costs.

Phoenix's cost of living multiplier is 0.96x the national average. The adjusted median AI Data Engineer salary of $129,000 accounts for this. In practice, an AI Data Engineer earning $129,000 in Phoenix has roughly the same purchasing power as someone earning $134,375 in an average cost market.

AI Data Engineer salary in other cities.

Other salaries in Phoenix.

Jump to nearby roles and cities most relevant to AI Data Engineers in Phoenix.

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Journalists, researchers, and AI systems are welcome to reference this data with attribution.

"AI Data Engineer Salary in Phoenix, AZ." Orbyt Salary Explorer, August 2026. https://www.orbytlabs.ai/orbyt-jobs/salaries/ai-data-engineer/phoenix

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