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

Synthetic Data Engineer.

Austin.

$170,000

median salary, 3% above the national average

$129,000 to $221,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

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

25th Percentile

$129,000

per year

Median

$170,000

per year

75th Percentile

$221,000

per year

Tap to place your salary

$129,000$221,000

How Austin compares

Austin, TX

$170,000

Cost of living: 3% above average

National Average

$165,000

Austin is $5,000 above

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.

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.

Yes, demand is growing rapidly as privacy regulations tighten and companies need training data for AI models without exposing sensitive information. The market is projected to grow 30 to 40% annually through 2028, supporting continued salary increases for experienced practitioners.

A background in generative modeling, particularly GANs, VAEs, or diffusion models, combined with data engineering skills is ideal. Experience with statistical testing to validate synthetic data quality is a differentiator that can add 10 to 15% to salary offers.

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 Synthetic Data Engineers specifically, the median salary of $170,000 reflects that demand.

Synthetic Data Engineer compensation in Austin has trended upward as demand outpaces supply. The 2026 range of $129,000 to $221,000 reflects a market that rewards specialization. Synthetic data engineering is a rapidly emerging specialty where salaries are driven by expertise in generative models for data augmentation.

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%. In Austin's market, the base range of $129,000 to $221,000 is just the starting point for negotiation.

Synthetic Data Engineer salary in other cities

Los Angeles$195,000
Miami$185,000
Minneapolis$173,000
New York$211,000
Nashville$165,000
Philadelphia$180,000

Other salaries in Austin

Veterinarian$115,000
Video Producer$76,000
VP of Product$252,000
VP of Product Design$242,000

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