Skip to main content
Orbyt
FeaturesComparePricingToolsDeveloperBlogSupport
Log inBegin

Product

FeaturesEverything Orbyt can doCompareOrbyt vs the competitionPricingPlans and pricing

Tools

Salary ExplorerResearch salaries by role and cityInterview PrepPractice with AI mock interviewsResume ScoreGet your resume scored by AIJob BoardBrowse open positionsAI Skills LabBuild job-ready AI skills

Company

AboutOur story and approachCreedHere’s to the relentless onesDeveloperMCP server and REST APILabsWhat we’re building nextBlogJob search tips and strategySupportHelp articles and guides
BeginAlready have an account? Log in
  1. Home/
  2. Salary/
  3. Synthetic Data Engineer/
  4. San Francisco

Synthetic Data Engineer.

San Francisco.

$223,000

median salary, 35% above the national average

$169,000 to $290,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

If you are evaluating a Synthetic Data Engineer offer in San Francisco, CA, here is the reality: $169,000 to $290,000, with $223,000 as the midpoint. 35% above the national average. Synthetic data engineering is a rapidly emerging specialty where salaries are driven by expertise in generative models for data augmentation. Do not accept the first number.

Salary range

25th Percentile

$169,000

per year

Median

$223,000

per year

75th Percentile

$290,000

per year

Tap to place your salary

$169,000$290,000

How San Francisco compares

San Francisco, CA

$223,000

Cost of living: 35% above average

National Average

$165,000

San Francisco is $58,000 above

What you should know

The Synthetic Data Engineer landscape in San Francisco is not what most salary sites will tell you. San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The city's concentration of AI labs, SaaS companies, and fintech firms creates intense competition for talent. Despite remote work trends, SF still commands the steepest salary premiums for engineering and product roles. 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 San Francisco, those numbers run higher. The cost of living here is 35% 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: california's top marginal state income tax rate is 13.3%, the highest in the U.S. San Francisco has no additional city income tax, but overall tax burden remains steep. When someone quotes you $223,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here. The range for Synthetic Data Engineers in San Francisco runs from $169,000 to $290,000. 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 San Francisco

Software & SaaSArtificial IntelligenceFintechBiotechVenture Capital

Negotiating in San Francisco

Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here.

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.

In 2026, the average Synthetic Data Engineer salary in San Francisco, CA is $223,000. The 25th percentile sits at $169,000 and the 75th percentile reaches $290,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Many San Francisco employers are shifting toward skills based hiring for Synthetic Data Engineer positions. While a degree can accelerate your path to the median salary of $223,000, demonstrated experience, certifications, and a strong portfolio carry significant weight. Candidates without degrees may start closer to $169,000 but can reach the 75th percentile with three to five years of proven results.

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 San Francisco, each step up the ladder is amplified by the local cost of living multiplier, which means senior roles pay proportionally more than in lower cost markets.

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 San Francisco's market, the base range of $169,000 to $290,000 is just the starting point for negotiation.

Synthetic Data Engineer salary in other cities

Washington DC$206,000
Austin$170,000
Atlanta$168,000
Boston$201,000
Chicago$177,000
Charlotte$160,000

Other salaries in San Francisco

Veterinarian$151,000
Video Producer$100,000
VP of Product$331,000
VP of Product Design$317,000

Related

Salary ExplorerInterview PrepResume ScoreJob Search Guide

Negotiating a Synthetic Data Engineer offer?

Get a personalized playbook.

Begin.

Product

  • Features
  • Compare
  • Pricing
  • Support

For

  • Career Changers
  • New Graduates
  • Recently Laid Off
  • Senior Professionals
  • Remote Job Seekers
  • Burned Out

Free Tools

  • Interview Prep
  • Resume Score
  • Salary Explorer
  • AI Skills Assessment
  • AI Skills Lab
  • Job Board

Guides

  • Job Search Guide
  • Interview Prep Guide
  • Resume Guide

Compare

  • Orbyt vs Teal
  • Orbyt vs Huntr
  • Orbyt vs Jobscan
  • Orbyt vs LinkedIn
  • Orbyt vs Trello
  • Orbyt vs Notion
  • Orbyt vs Spreadsheets
  • Orbyt vs Simplify
  • Orbyt vs Careerflow
  • Orbyt vs ApplyArc
  • Orbyt vs Jobright
  • Orbyt vs Sprout

Developers

  • API Docs
  • Claude Desktop
  • OpenClaw
  • ChatGPT
  • Apple Shortcuts
  • Zapier

Connect

  • Refer a Friend
  • Recruiter Program

Company

  • About
  • Founder
  • Values
  • Creed
  • Labs
  • Blog

Account

  • Sign In
  • Sign Up
Orbyt

© 2026 Purecraft LLC  All rights reserved.

Privacy·Terms·Security·Accessibility·Status