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Synthetic Data Engineer Jobs (NOW HIRING)

K Health

Senior Data Engineer

New York, NY · Hybrid

$116K - $157K/yr

... or synthetic data management); Work closely with data analysts, data scientists, engineers, and ... cross-functional teams to understand data requirements and deliver high-quality solutions. * Design ...

Propio

AI Engineer

Leawood, KS

$111K - $133K/yr

Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data ... Experience with synthetic data generation, active learning, weak supervision, LLM-as-judge ...

Propio

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data ... Experience with synthetic data generation, active learning, weak supervision, LLM-as-judge ...

Propio Language Services

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Propio is hiring an AI Data Strategy Engineer / Applied Scientist, LLM Data to own the data ... Experience with synthetic data generation, active learning, weak supervision, LLM-as-judge ...

Cushman & Wakefield

Data Engineer

Chicago, IL

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Technical Support (40%) Create and maintain documentation of any synthetic data model architecture ...

Cushman & Wakefield

Data Engineer

Atlanta, GA

$110K - $132K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Technical Support (40%) Create and maintain documentation of any synthetic data model architecture ...

Cushman & Wakefield

Data Engineer

Chicago, IL

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Technical Support (40%) Create and maintain documentation of any synthetic data model architecture ...

Cushman & Wakefield

Data Engineer

Denver, CO

$117K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Technical Support (40%) Create and maintain documentation of any synthetic data model architecture ...

Cushman & Wakefield

Data Engineer

Atlanta, GA

$110K - $132K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Technical Support (40%) Create and maintain documentation of any synthetic data model architecture ...

Cushman & Wakefield

Data Engineer

Dallas, TX

$113K - $136K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Technical Support (40%) Create and maintain documentation of any synthetic data model architecture ...

Cushman & Wakefield

Data Engineer

Dallas, TX

$113K - $136K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Technical Support (40%) Create and maintain documentation of any synthetic data model architecture ...

Cushman & Wakefield

Data Engineer

Chicago, IL

$118K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Technical Support (40%) Create and maintain documentation of any synthetic data model architecture ...

Cushman & Wakefield

Data Engineer

Washington, DC

$129K - $155K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Technical Support (40%) Create and maintain documentation of any synthetic data model architecture ...

Cushman & Wakefield

Data Engineer

Saint Louis, MO

$111K - $133K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Technical Support (40%) Create and maintain documentation of any synthetic data model architecture ...

Cushman & Wakefield

Data Engineer

Denver, CO

$117K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Technical Support (40%) Create and maintain documentation of any synthetic data model architecture ...

Cushman & Wakefield

Data Engineer

Dallas, TX

$113K - $136K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Technical Support (40%) Create and maintain documentation of any synthetic data model architecture ...

Cushman & Wakefield

Data Engineer

Denver, CO

$117K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Technical Support (40%) Create and maintain documentation of any synthetic data model architecture ...

Cushman & Wakefield

Data Engineer

Denver, CO

$117K - $141K/yr

Job Title Data Engineer Summary Key Objectives: Supports the development, optimization, and ... Technical Support (40%) Create and maintain documentation of any synthetic data model architecture ...

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All JobsSynthetic Data Engineer Jobs

Synthetic Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do synthetic data engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for synthetic data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Synthetic Data Engineer vs Data Scientist?

AspectSynthetic Data EngineerData Scientist
Required CredentialsBachelor's or higher in CS, Data Science, or related fields; experience with data generation toolsBachelor's or higher in Statistics, Data Science, or related fields; proficiency in programming and analytics
Work EnvironmentFocus on data generation, privacy, and simulation in tech or finance industriesData analysis, modeling, and insights across various industries
Employer & Industry UsageTech companies, finance, healthcare for privacy-preserving dataResearch institutions, tech firms, healthcare, marketing

While Synthetic Data Engineers specialize in creating artificial data for privacy and testing, Data Scientists analyze real data to extract insights. Both roles require strong technical skills, but their focus areas differ—one on data generation, the other on data analysis.

Which 3 jobs will survive AI?

Synthetic Data Engineers are likely to continue to be in demand as AI development relies on high-quality synthetic data for training models. Roles involving complex problem-solving, creative tasks, and human interaction—such as AI specialists, data scientists, and cybersecurity analysts—are also expected to persist due to their reliance on nuanced judgment and expertise. These jobs require specialized skills and adapt to evolving AI tools, making them more resilient to automation.

What is a synthetic data engineer?

A synthetic data engineer is a professional who designs and develops artificial data that mimics real datasets for use in machine learning, testing, and data analysis. They often work with data generation tools, programming languages like Python, and focus on privacy-preserving data creation to support AI development and model training.

Is AI taking over data engineer jobs?

AI and automation are transforming data engineering by automating tasks such as data cleaning, integration, and pipeline management. However, data engineers are still essential for designing, maintaining, and overseeing complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains in demand.

What is the salary of a synthetic data engineer?

The salary of a synthetic data engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Professionals with skills in data modeling, machine learning, and programming languages like Python or SQL tend to earn higher salaries.
What cities are hiring for Synthetic Data Engineer jobs? Cities with the most Synthetic Data Engineer job openings:
What states have the most Synthetic Data Engineer jobs? States with the most job openings for Synthetic Data Engineer jobs include:
Senior Data Engineer

Senior Data Engineer

K Health

New York, NY • Hybrid

$116K - $157K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

About the role:

Our data engineering team is looking for an experienced professional with expertise in SQL, Python, and strong data modeling skills. In this role, you will be at the heart of our data ecosystem, designing and executing cross-engineering initiatives and projects, as well as developing high-quality data pipelines and models that drive decision-making across the organization. You will play a key role in ensuring data quality, building scalable systems, and supporting cross-functional teams with clean, accurate, and actionable data.

This role requires onsite presence in our New York City office 4 days a week and does not provide immigration support. 

What you will do:

  • Design, develop, and optimize data services and solutions required to support various company products (like FeatureStore or synthetic data management); Work closely with data analysts, data scientists, engineers, and cross-functional teams to understand data requirements and deliver high-quality solutions.
  • Design and integrate LLM- and agent-based capabilities into data platforms and services, enabling smarter data operations and AI-driven data products.
  • Design, develop, and optimize scalable data pipelines to ensure data is clean, accurate, and ready for analysis.
  • Build and maintain robust data models that support clinical, business intelligence, and operational needs.
  • Implement and enforce data quality standards, monitoring, and best practices across systems and pipelines.
  • Manage and optimize large-scale data storage and processing systems to ensure reliability and performance.

What we're looking for: 

  • 5+ years of experience as a Data Engineer / Backend Engineer (with strong emphasis on data processing)
  • Python Proficiency: Proven ability to build services, solutions, data pipelines, automations, and integration tools using Python.
  • SQL Expertise: Deep experience in crafting complex queries, optimizing performance, and working with large datasets.
  • Strong knowledge of data modeling principles and best practices for relational and dimensional data structures.
  • A passion for maintaining data quality and ensuring trust in business-critical data.

Bonus:

  • Experience with cloud platforms (e.g., AWS, GCP, or Azure) for data engineering and storage solutions.
  • Knowledge of data orchestration tools (e.g., Airflow)
  • Understanding of CI/CD practices and version control systems.
  • Experience with Kubernetes.
  • Experience in ML/AI development.

Benefits & Perks:  #LI-Hybrid

  • Hybrid work schedule with weekly lunches and stocked fridges 
  • Monthly social committees for company events
  • 18 vacation days, 9 company holidays, 5 sick days, and 2 personal days 
  • Stock options for every full-time employee 
  • Paid parental leave
  • 401k benefit
  • Commuter Benefits 
  • Competitive health, dental, and vision insurance options 

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