Synthetic Data Engineer.
Austin.
$170,000
median salary, 3% above the national average
$129,000 to $221,000. Last updated April 2026.
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Data points to own the conversation.
The median Synthetic Data Engineer salary in Austin is $170,000, 3% above the national average. Entry level starts near $129,000. Experienced professionals push past $221,000. Austin has transformed into one of America's fastest growing tech hubs, attracting relocations from Apple, Tesla, Oracle, and Samsung. That spread is your negotiation window.
Salary range
Where do you fall?
Salary by experience
The gap between entry and lead level is typically $153,000. Where you land depends on years of experience and what you bring to the table.
Entry (0-2 yrs)
$111,000
to $136,000
Mid (3-5 yrs)
$145,000
to $179,000
Senior (6-9 yrs)
$187,000
to $221,000
Lead (10+ yrs)
$213,000
to $264,000
Salary trend
+5% YoYTotal compensation
Base salary is not the full picture. Equity, bonus, and signing can add $37,000 to the total package.
Base
$170,000
Equity
$20,000
Bonus
$14,000
Signing
$3,000
Estimated total: $207,000
How Austin compares
Austin, TX
$170,000
Cost of living: 3% above average
National Average
$165,000
Austin is $5,000 above
Synthetic Data Engineer salary by city
Salary by role in Austin
What you should know
If you are interviewing for Synthetic Data Engineer roles in Austin, here is what you are walking into. 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. Synthetic data engineering is a rapidly emerging specialty where salaries are driven by expertise in generative models for data augmentation. Experience with privacy-preserving data generation for regulated industries like healthcare and finance commands 15 to 25% premiums. Knowledge of differential privacy and statistical validation of synthetic datasets is highly valued.
Junior synthetic data engineers earn $125,000 to $148,000. Engineers with 2 to 4 years of specialized experience reach $165,000 to $215,000. Senior engineers and technical leads earn $220,000 to $290,000, while directors of synthetic data programs at large enterprises can command $300,000 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. Startups in the synthetic data space offer equity packages of 0.1 to 0.5% that can be worth significantly more than base salary if the company succeeds. Established tech firms offer RSUs worth 20 to 35% of base salary plus bonuses of 10 to 20%. 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 $170,000, 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 Synthetic Data Engineers in Austin runs from $129,000 to $221,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.
Sources: SEC filings, H-1B LCA (DOL), BLS OES, 50+ job posting platforms. COL: BEA Regional Price Parities (2025). Data verified by Justin Bartak, Founder & Chief AI Officer. Last verified April 8, 2026. Full methodology
Considering a related role?
- A AI Firmware Engineer in Austin earns $169,000 (1% less)
- The highest-paying role in Austin is Chief AI Officer at $326,000
Common questions.
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