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AI Data Engineer.

Austin.

$143,000

median salary, 5% above the national average

$109,000 to $184,000. Last updated August 2026.

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Data points to own the conversation.

Austin is 3% more expensive than the national average. For AI Data Engineers, that shakes out to a median of $143,000, with the full range spanning $109,000 to $184,000. AI data engineers who build and maintain ML data pipelines earn premiums based on scale of data handled and complexity of feature engineering systems. Know the range before you walk in. 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

$109,000

per year

Median

$143,000

per year

75th Percentile

$184,000

per year

Where do you fall?

$109,000$184,000

Orbyt estimate for AI Data Engineer in Austin, 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 $139,960 for Database Architects (SOC 15-1243) in the Austin-Round Rock-San Marcos, TX metropolitan area, based on 1,110 employed workers (May 2025 release).

10th percentile

$100,690

25th percentile

$115,480

Median

$139,960

75th percentile

$169,970

90th percentile

$214,250

Workers surveyed

1,110

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 Austin 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 $129,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$93,000

to $114,000

Mid (3-5 yrs)

$122,000

to $150,000

Senior (6-9 yrs)

$157,000

to $186,000

Lead (10+ yrs)

$179,000

to $222,000

Total compensation.

Base salary is not the full picture. Equity, bonus, and signing can add $60,000 to the total package.

Base

$143,000

Equity

$36,000

Bonus

$15,000

Signing

$9,000

Estimated total: $203,000

How Austin compares.

Austin, TX

$143,000

Cost of living: 3% above average

National Average

$136,000

Austin is $7,000 above

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
Austin, TX$143,000$109,000 to $184,0001.03x$139,000

See all 81 cities for AI Data Engineer →

Salary by role in Austin.

Salary comparison by role in Austin
RoleMedianRange
CTO$318,000$248,000 to $414,000
CEO$289,000$210,000 to $399,000
General Counsel$288,000$225,000 to $375,000
Data Architect (AI/ML)$144,000$110,000 to $186,000
AI Data Engineer$143,000$109,000 to $184,000
Data Engineer$143,000$113,000 to $178,000
Optometrist$143,000$109,000 to $174,000
Product Manager$143,000$112,000 to $182,000

What you should know.

Here is what the AI Data Engineer market actually looks like in Austin. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. The city's combination of no state income tax, a vibrant startup scene, and a strong university pipeline makes it highly competitive. Salaries have risen sharply over the past five years, narrowing the gap with coastal cities. 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 Austin, 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: texas has no state income tax, which can mean 5 to 10% more take home pay compared to California roles. Property taxes are above average, however, running about 1.8% of home value. When someone quotes you $143,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Use the no income tax advantage as a negotiation lever. Ask employers to match 90% of a Bay Area offer and show that your net pay will actually be higher. The range for AI Data Engineers in Austin runs from $109,000 to $184,000. 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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Enter your AI Data Engineer offer to see where you stand in Austin.

$

25th

$109,000

Median

$143,000

75th

$184,000

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 Austin 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 $109,000 to $184,000 range, ask about the total compensation structure during negotiation.

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. In Austin, these factors can push compensation from $109,000 to $184,000 or beyond.

The national median for an AI Data Engineer is $138,835. In Austin, cost of living adjustments push the median to $143,000. That premium reflects Austin's higher housing, transportation, and everyday costs.

Texas has no state income tax, which can mean 5 to 10% more take home pay compared to California roles. Property taxes are above average, however, running about 1.8% of home value. When comparing offers across states, your take home pay matters more than the number on the offer letter. A lower salary in a no income tax state can net more than a higher one elsewhere.

Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. The city's combination of no state income tax, a vibrant startup scene, and a strong university pipeline makes it highly competitive. For AI Data Engineers specifically, ai data engineers who build and maintain ml data pipelines earn premiums based on scale of data handled and complexity of feature engineering systems, which signals sustained demand. The current compensation range of $109,000 to $184,000 reflects a market that is competing for talent.

AI Data Engineer salary in other cities.

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

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