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  1. Home/
  2. Salary/
  3. Data Engineer/
  4. Austin

Data Engineer.

Austin.

$155,000

median salary, 3% above the national average

$118,000 to $201,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

Austin is 3% more expensive than the national average. For Data Engineers, that shakes out to a median of $155,000, with the full range spanning $118,000 to $201,000. Proficiency with modern data stack tools like Spark, Kafka, dbt, and Snowflake separates top earners from the pack. Know the range before you walk in.

Salary range

25th Percentile

$118,000

per year

Median

$155,000

per year

75th Percentile

$201,000

per year

Tap to place your salary

$118,000$201,000

How Austin compares

Austin, TX

$155,000

Cost of living: 3% above average

National Average

$150,000

Austin is $5,000 above

What you should know

Here is what the 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. Proficiency with modern data stack tools like Spark, Kafka, dbt, and Snowflake separates top earners from the pack. Engineers who build real-time streaming pipelines or manage petabyte-scale warehouses earn 15 to 25% more. Startups with heavy ML infrastructure needs often pay premiums to attract pipeline specialists.

Junior data engineers start at $85,000 to $105,000, progressing to mid-level at $115,000 to $155,000 within three years. Senior data engineers earn $160,000 to $195,000, while staff-level or principal roles reach $210,000 to $270,000 at top-tier companies. 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. Equity grants at data-intensive startups can represent 15 to 30% of total compensation. Annual bonuses range from 10 to 15%, and many firms provide $3,000 to $8,000 yearly learning stipends for cloud platform training. 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 $155,000, 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 Data Engineers in Austin runs from $118,000 to $201,000. 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 Austin

TechnologySemiconductorsClean EnergyHealthcareGovernment

Negotiating in Austin

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.

Common questions.

Data engineers and data scientists earn similar base salaries, but data scientists at ML-focused companies may receive slightly higher equity. Data engineers often have more stable demand and faster hiring cycles, which translates to stronger negotiating leverage.

Significantly. Engineers skilled in Kafka, Flink, or Spark Streaming earn 15 to 25% above batch-processing peers. Real-time expertise is critical for fintech, adtech, and autonomous systems, where latency requirements drive premium compensation offers.

It depends on the position and employer. Many Data Engineers in Austin are classified as exempt salaried employees without overtime eligibility. However, equity grants at data-intensive startups can represent 15 to 30% of total compensation. When evaluating the $118,000 to $201,000 range, ask about the total compensation structure during negotiation.

Proficiency with modern data stack tools like Spark, Kafka, dbt, and Snowflake separates top earners from the pack. Engineers who build real-time streaming pipelines or manage petabyte-scale warehouses earn 15 to 25% more. Startups with heavy ML infrastructure needs often pay premiums to attract pipeline specialists. In Austin, these factors can push compensation from the 25th percentile of $118,000 to the 75th percentile of $201,000 or beyond.

The national median for a Data Engineer is $150,485. In Austin, cost of living adjustments push the median to $155,000. 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 Data Engineers specifically, proficiency with modern data stack tools like spark, kafka, dbt, and snowflake separates top earners from the pack, which signals sustained demand. The current compensation range of $118,000 to $201,000 reflects a market that is competing for talent.

Data Engineer salary in other cities

Los Angeles$177,000
Miami$168,000
Minneapolis$158,000
New York$192,000
Nashville$150,000
Philadelphia$164,000

Other salaries in Austin

Welder$54,000
Wind Turbine Technician$59,000
Water Resource Specialist$78,000
Account Executive$98,000

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