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  1. Home/
  2. Salary/
  3. Synthetic Data Engineer/
  4. New York

Synthetic Data Engineer.

New York.

$211,000

median salary, 28% above the national average

$160,000 to $275,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

A Synthetic Data Engineer in New York earns a median of $211,000 in 2026. That is 28% above the national average. The range runs from $160,000 to $275,000, and where you land depends on your experience, your skills, and how well you negotiate. Synthetic data engineering is a rapidly emerging specialty where salaries are driven by expertise in generative models for data augmentation.

Salary range

25th Percentile

$160,000

per year

Median

$211,000

per year

75th Percentile

$275,000

per year

Tap to place your salary

$160,000$275,000

How New York compares

New York, NY

$211,000

Cost of living: 28% above average

National Average

$165,000

New York is $46,000 above

What you should know

Here is what the Synthetic Data Engineer market actually looks like in New York. New York City remains one of the world's largest and most diverse job markets, with unmatched density in finance, media, and technology. The city's tech sector has grown rapidly, rivaling the Bay Area for venture funding and startup activity. Remote work has reshaped demand slightly, but employers still pay premiums for in office presence in Manhattan. 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 New York, those numbers run higher. The cost of living here is 28% above average, and employers adjust to compete.

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: new York State income tax rates reach 10.9%, and New York City adds a local income tax up to 3.876%. Combined with federal taxes, your effective rate can be among the highest nationally. When someone quotes you $211,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Emphasize your willingness to work from the office in Manhattan. Many NYC employers pay 10 to 15% more for in person roles compared to remote positions. The range for Synthetic Data Engineers in New York runs from $160,000 to $275,000. 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 New York

Financial ServicesMedia & AdvertisingTechnologyHealthcareFashion & Retail

Negotiating in New York

Emphasize your willingness to work from the office in Manhattan. Many NYC employers pay 10 to 15% more for in person roles compared to remote positions.

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.

New York City remains one of the world's largest and most diverse job markets, with unmatched density in finance, media, and technology. The city's tech sector has grown rapidly, rivaling the Bay Area for venture funding and startup activity. For Synthetic Data Engineers specifically, the median salary of $211,000 reflects that demand.

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. In New York, these factors can push compensation from the 25th percentile of $160,000 to the 75th percentile of $275,000 or beyond.

In 2026, the average Synthetic Data Engineer salary in New York, NY is $211,000. The 25th percentile sits at $160,000 and the 75th percentile reaches $275,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Synthetic Data Engineer salary in other cities

Houston$160,000
Indianapolis$150,000
Kansas City$153,000
Los Angeles$195,000
Miami$185,000
Minneapolis$173,000

Other salaries in New York

Veterinarian$143,000
Video Producer$95,000
VP of Product$314,000
VP of Product Design$301,000

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