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  1. Home/
  2. Salaries/
  3. Synthetic Data Engineer/
  4. Baltimore

Synthetic Data Engineer.

Baltimore.

$180,000

median salary, 9% above the national average

$136,000 to $235,000. Last updated April 2026.

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Data points to own the conversation.

Here is what Synthetic Data Engineers actually make in Baltimore: $136,000 at the 25th percentile, $180,000 at the median, and $235,000 at the 75th. That is 9% above the national average. Baltimore's economy is anchored by Johns Hopkins University and Hospital, one of the largest employers in the state. The number on your offer letter will depend on what you bring and how you ask.

Salary range

25th Percentile

$136,000

per year

Median

$180,000

per year

75th Percentile

$235,000

per year

Where do you fall?

$136,000$235,000

Salary by experience

The gap between entry and lead level is typically $162,000. Where you land depends on years of experience and what you bring to the table.

Entry (0-2 yrs)

$117,000

to $144,000

Mid (3-5 yrs)

$153,000

to $189,000

Senior (6-9 yrs)

$198,000

to $234,000

Lead (10+ yrs)

$225,000

to $279,000

Salary trend

+5% YoY
$148,000
2022
$155,000
2023
$163,000
2024
$171,000
2025
$180,000
2026

Total compensation

Base salary is not the full picture. Equity, bonus, and signing can add $40,000 to the total package.

Base

$180,000

Equity

$22,000

Bonus

$14,000

Signing

$4,000

Estimated total: $220,000

How Baltimore compares

Baltimore, MD

$180,000

Cost of living: 8% above average

National Average

$165,000

Baltimore is $15,000 above

Synthetic Data Engineer salary by city

Synthetic Data Engineer salary comparison across 10 cities
CityMedianRangeCOLAdjusted
San Francisco, CA$225,000$170,000 – $293,0001.35x$167,000
San Jose, CA$223,000$169,000 – $291,0001.38x$162,000
Honolulu, HI$221,000$167,000 – $288,0001.30x$170,000
Washington DC, DC$212,000$161,000 – $277,0001.25x$170,000
New York, NY$209,000$158,000 – $272,0001.28x$163,000
Boston, MA$203,000$154,000 – $265,0001.22x$166,000
San Diego, CA$201,000$152,000 – $262,0001.17x$172,000
Los Angeles, CA$199,000$150,000 – $259,0001.18x$169,000
Seattle, WA$196,000$149,000 – $256,0001.24x$158,000
Baltimore, MD$180,000$136,000 – $235,0001.08x$167,000

See all 30 cities for Synthetic Data Engineer →

Salary by role in Baltimore

Salary comparison by role in Baltimore
RoleMedianRange
Chief AI Officer$345,000$256,000 – $445,000
Chief Data & AI Officer$328,000$245,000 – $428,000
Chief Technology Officer$307,000$228,000 – $402,000
Synthetic Data Engineer$180,000$136,000 – $235,000
Full Stack AI Developer$180,000$136,000 – $235,000
AI Microservices Engineer$180,000$137,000 – $233,000
AI Observability Engineer$180,000$136,000 – $238,000
Model Vulnerability Analyst$180,000$135,000 – $236,000

What you should know

If you are interviewing for Synthetic Data Engineer roles in Baltimore, here is what you are walking into. Baltimore's economy is anchored by Johns Hopkins University and Hospital, one of the largest employers in the state. The city has strong cybersecurity, defense, and biotech sectors, benefiting from proximity to NSA, Fort Meade, and NIH. The port of Baltimore also drives significant logistics and trade employment. 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 Baltimore, 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: maryland's top income tax rate is 5.75%, and Baltimore City adds a local income tax of 3.2%. The combined burden is among the higher ones, but federal and defense salaries compensate. When someone quotes you $180,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: A security clearance is extremely valuable in the Baltimore corridor. Cleared professionals earn 20 to 30% more, and the NSA and defense contractor presence drives constant demand. The range for Synthetic Data Engineers in Baltimore runs from $136,000 to $235,000. 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

Interactive

Is your offer competitive?

Enter your Synthetic Data Engineer offer to see where you stand in Baltimore.

$

25th

$136,000

Median

$180,000

75th

$235,000

Considering a related role?

  • A Robotics AI Engineer in Baltimore earns $181,000 (1% more)
  • The highest-paying role in Baltimore is Chief AI Officer at $345,000

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.

The national median for a Synthetic Data Engineer is $166,667. In Baltimore, cost of living adjustments push the median to $180,000. That premium reflects Baltimore's higher housing, transportation, and everyday costs.

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 Baltimore's market, the base range of $136,000 to $235,000 is just the starting point for negotiation.

Baltimore's economy is driven by Healthcare & Biotech, Cybersecurity & Defense, Higher Education, and Logistics & Port. Synthetic Data Engineers are hired across these sectors, though compensation can vary 15 to 25% between industries. Company size and funding stage also influence total packages significantly.

Baltimore's cost of living is near the national average. Baltimore's economy is anchored by Johns Hopkins University and Hospital, one of the largest employers in the state. Calculate your actual take home pay after housing, taxes, and transportation before deciding. A $180,000 salary here buys a different lifestyle than the same number in another market.

Synthetic Data Engineer salary in other cities

Boston$203,000
Birmingham$139,000
Boise$150,000
Billings$153,000
Burlington$173,000
Chicago$177,000

Other salaries in Baltimore

Veterinarian$122,000
Video Producer$83,000
Vector Database Engineer$190,000
Voice AI Designer$161,000

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Cite this data

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"Synthetic Data Engineer Salary in Baltimore, MD." Orbyt Salary Explorer, April 2026. https://www.orbytjobs.ai/salaries/synthetic-data-engineer/baltimore

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