Data Pipeline Engineer (ML).
Austin.
$163,000
median salary, 3% above the national average
$124,000 to $214,000. Updated for 2026.
The numbers.
Everything you need to negotiate with confidence.
If you are evaluating a Data Pipeline Engineer (ML) offer in Austin, TX, here is the reality: $124,000 to $214,000, with $163,000 as the midpoint. 3% above 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
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How Austin compares
Austin, TX
$163,000
Cost of living: 3% above average
National Average
$158,000
Austin is $5,000 above
What you should know
The Data Pipeline Engineer (ML) landscape in Austin is not what most salary sites will tell you. 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. 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 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 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: 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 $163,000, 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 Pipeline Engineer (ML)s in Austin runs from $124,000 to $214,000. 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
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.