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Synthetic Data Generation Jobs (NOW HIRING)

Data Engineer, Synthetic Data Generation

Frisco, TX · On-site +1

$107K - $128K/yr

Synthetic Data Design & Generation * Design and execute test scenarios to generate synthetic member data using GenRocket , aligning with healthcare business rules and domain requirements. * Leverage ...

Data Engineer, Synthetic Data Generation

Frisco, TX · On-site +1

$107K - $128K/yr

Synthetic Data Design & Generation * Design and execute test scenarios to generate synthetic member data using GenRocket , aligning with healthcare business rules and domain requirements. * Leverage ...

Data Engineer, Synthetic Data Generation

Louisville, KY · On-site +1

$110K - $132K/yr

Synthetic Data Design & Generation * Design and execute test scenarios to generate synthetic member data using GenRocket , aligning with healthcare business rules and domain requirements. * Leverage ...

Build synthetic data generation pipelines using LLM-based methods and automated quality evaluation, producing datasets that improve the pre- and post-training of LLMs such as Nemotron - reasoning ...

Data Engineer, Synthetic Data Generation

Louisville, KY · On-site +1

$110K - $132K/yr

Synthetic Data Design & Generation * Design and execute test scenarios to generate synthetic member data using GenRocket , aligning with healthcare business rules and domain requirements. * Leverage ...

Data Engineer, Synthetic Data Generation

Frisco, TX · On-site +1

$107K - $128K/yr

Synthetic Data Design & Generation * Design and execute test scenarios to generate synthetic member data using GenRocket , aligning with healthcare business rules and domain requirements. * Leverage ...

Healthcare Synthetic Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

... synthetic data generation capabilities that can be leveraged across programs and products. • Create realistic and privacy-conscious test environments that allow AI teams to evaluate solutions ...

Build LLM-based methods for synthetic data generation, privacy, and context-aware anonymization, with automated evaluation across multilingual text, documents, and multimodal content. * Optimize task ...

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Synthetic Data Generation information

See salary details

$31K

$93.2K

$169K

How much do synthetic data generation jobs pay per year?

As of Jul 4, 2026, the average yearly pay for synthetic data generation in the United States is $93,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $144,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a Synthetic Data Generation role, and why are they important?

To excel in a Synthetic Data Generation role, you need a solid background in computer science, statistics, and data science, often supported by a relevant degree and experience in machine learning. Familiarity with tools such as Python, TensorFlow, PyTorch, and synthetic data generation platforms, as well as knowledge of privacy-preserving techniques, is typically required. Strong problem-solving abilities, creativity, and effective communication set top performers apart in this field. These skills and qualities are crucial for creating high-quality, realistic synthetic datasets that support robust AI model development while safeguarding sensitive information.

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.

Which 3 jobs will survive AI?

Synthetic Data Generation specialists are likely to continue being in demand as AI development requires high-quality, labeled data for training models. Roles involving data curation, domain expertise, and oversight of AI systems—such as data scientists, AI ethics officers, and machine learning engineers—are also expected to persist due to their specialized skills and the need for human judgment. These jobs often require technical knowledge, programming skills, and continuous learning to adapt to evolving AI technologies.

What is an example of synthetic data generation?

Synthetic data generation, relevant to roles like data scientists or AI engineers, involves creating artificial data that mimics real datasets using algorithms such as generative adversarial networks (GANs) or statistical models. For example, generating realistic customer transaction records for testing machine learning models without exposing sensitive information. This process helps improve model training while maintaining data privacy and security.

What is synthetic data generation?

Synthetic data generation is the process of creating artificial datasets that mimic real-world data. This technique is used to supplement or replace actual data for purposes such as machine learning, software testing, and research, especially when real data is scarce, sensitive, or costly to obtain. Synthetic data can help improve model accuracy, protect privacy, and enable innovation by providing diverse and unbiased datasets. It is commonly used in fields like healthcare, finance, and autonomous vehicles.

What is the difference between Synthetic Data Generation vs Data Analyst?

AspectSynthetic Data GenerationData Analyst
Required CredentialsKnowledge of data science, programming, and data privacyDegree in statistics, data science, or related field
Work EnvironmentData science teams, research labs, tech companiesBusiness environments, analytics teams, consulting firms
Industry UsageAI development, machine learning, data privacyBusiness insights, reporting, decision-making
Search & Comparison IntentUnderstanding data generation techniques, privacy solutionsAnalyzing data, generating reports, insights

While Synthetic Data Generation focuses on creating artificial data for privacy and model training, Data Analysts interpret existing data to provide business insights. Both roles require data-related skills but serve different purposes within the data ecosystem.

What are the main challenges faced by professionals working in synthetic data generation, and how can they be addressed?

Professionals in synthetic data generation often encounter challenges such as ensuring the generated data accurately represents real-world scenarios while maintaining privacy and data security. Balancing realism with anonymization is crucial, especially when synthetic data is used for AI model training or testing. Collaboration with data scientists, domain experts, and privacy officers is common to validate data utility and compliance with regulations. Staying current with advances in generative models and data validation techniques also helps address these challenges and contributes to career growth in this rapidly evolving field.

Is 40 too late for data science?

Age is not a barrier to entering data science or synthetic data generation roles. Many professionals successfully transition into these fields later in life by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Experience, continuous learning, and adaptability are valued more than age in the tech industry.
More about Synthetic Data Generation jobs
What cities are hiring for Synthetic Data Generation jobs? Cities with the most Synthetic Data Generation job openings:
What states have the most Synthetic Data Generation jobs? States with the most job openings for Synthetic Data Generation jobs include:
What job categories do people searching Synthetic Data Generation jobs look for? The top searched job categories for Synthetic Data Generation jobs are:
Infographic showing various Synthetic Data Generation job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 66% Physical, 2% Hybrid, and 32% Remote job distribution, with an average salary of $93,198 per year, or $44.8 per hour.
Data Engineer, Synthetic Data Generation

Data Engineer, Synthetic Data Generation

Humana

Frisco, TX • On-site, Remote

$107K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Humana rating

7.9

Company rating: 7.9 out of 10

Based on 260 frontline employees who took The Breakroom Quiz

155th of 277 rated insurance


Job description

Become a part of our caring community
The Data Engineer (Software Engineer 2) at Humana is responsible for designing, generating, and validating high-quality artificial member data to support testing, analytics, and system integration. You will build synthetic data scenarios using tools such as GenRocket, ensuring alignment with complex healthcare business rules, membership processes, and data models. The Data Engineer 2 oversees the end-to-end data lifecycle-from EDI intake through transformation, validation, and integration into downstream platforms-ensuring data integrity, accuracy, and usability.
You will collaborate with business and technical partners to deliver reliable, compliant, and test-ready data assets, while identifying opportunities to improve data generation, validation, and integration processes. You will operate within Humana's enterprise data governance, security, and architectural standards.
You will report to an Associate Director of Technology Leadership.

This role may require occasional travel into one of our hub locations; Tower Hall Park office, Dallas TX or Waterside Building, Louisville KY. Candidates residing near or within 50 miles of one of the hub locations are preferred.

The Data Engineer (Software Engineer 2) collaborates with teams to design, build, and maintain scalable data solutions. You will have a specialized focus on synthetic member data generation, EDI processing, and data validation. The goal of these efforts is to support Humana's business strategies. You will ensure data is accurate, testable, and aligned with enterprise standards for reliability, accessibility, and security.

EDI / X12 Data Management

  • Manage, parse, validate, and reconcile ANSI X12 transactions, including:

    • 834 (Enrollment)

    • 837 (Claims)

    • Additional formats supporting dental and vision lines of business

  • Ensure accurate ingestion and transformation of EDI data into internal systems.

Synthetic Data Design & Generation

  • Design and execute test scenarios to generate synthetic member data using GenRocket, aligning with healthcare business rules and domain requirements.

  • Leverage knowledge of membership data, enrollment processes, and downstream impacts to ensure artificial data is realistic and fit for purpose.

  • Oversee end-to-end synthetic data lifecycle, from initial design through deployment and validation.

Data Validation & Quality Assurance

  • Validate artificial data for completeness, integrity, and alignment with data models and business rules.

  • Identify and resolve data anomalies prior to system integration.

  • Ensure generated data meets testing, regulatory, and operational requirements.

Data Integration & Pipeline Execution

  • Load generated and transformed data into enterprise platforms and data warehouses.

  • Monitor ingestion processes and verify successful processing across systems.

  • Develop and maintain data pipelines supporting integration, transformation, and delivery of datasets.

SQL & Data Analysis

  • Use SQL to query, analyze, and manipulate data for validation, testing, troubleshooting, and reporting.

  • Investigate data discrepancies and perform root cause analysis using SQL and supporting tools.

Collaboration & Delivery

  • Partner with business stakeholders, QA teams, architects, and engineers to ensure data aligns with test case requirements and system needs.

  • Translate business requirements into technical data solutions.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or related field.

  • 3+ years experience with SQL, relational databases, and data modeling.

  • Experience working with EDI/X12 healthcare transactions (834, 837 preferred).

  • Travel up to 10% into one of our hub offices as business requires.

Preferred Qualifications
  • Experience in healthcare domains, membership, enrollment, claims, dental, or vision data.

  • 1 or more years of experience with synthetic data generation tools (e.g., GenRocket) or similar frameworks.

  • Hands-on experience with data integration and ETL tools (e.g., Informatica, Spark, and Python).

  • Knowledge of data warehousing and cloud platforms.

  • Experience with test data management (TDM) practices.

  • Understanding of data governance and security standards.


Use your skills to make an impact

Additional Information

Work-At-Home Requirements:

To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:

At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested.

Satellite, cellular and microwave connection can be used only if approved by leadership.

Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job.

Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Interview Format:

As part of our hiring process for this opportunity, we will be using exciting interviewing technology called HireVue to enhance our hiring and decision-making ability. HireVue allows us to quickly connect and gain valuable information for you pertaining to your relevant skills and experience at a time that is best for your schedule.

If you are selected for a first-round interview, you will receive an email correspondence inviting you to participate in a HireVue interview. In this interview, you will receive a set of interview questions you may answer via by phone or computer, and you will provide recorded or text message responses to each question. Some of the questions may require longer responses and using a computer vs phone to type responses may work best. You should anticipate this interview to take about 15-20 minutes. Your recorded interview will be reviewed, and you will subsequently be informed if you will be moving forward to next round of interviews.

Why Humana?

Humana offers a variety of benefits to promote the best health and well-being of our employees and their families. We design competitive and flexible packages to give our employees a sense of financial security-both today and in the future, including: Health benefits effective day 1 Paid time off, holidays, volunteer time and jury duty pay Recognition pay 401(k) retirement savings plan with employer match Tuition assistance Scholarships for eligible dependents Parental and caregiver leave Employee charity matching program Network Resource Groups (NRGs) Career development opportunities

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.


$80,900 - $110,300 per year


This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer atHumana.comand atCenterWell.com.


Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.


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About Humana

Sourced by ZipRecruiter

Humana Inc., headquartered in Louisville, KY., is a leading health care company that offers a wide range of insurance products and health and wellness services that incorporate an integrated approach to lifelong well-being. By leveraging the strengths of its core businesses, Humana believes it can better explore opportunities for existing and emerging adjacencies in health care that can further enhance wellness opportunities for the millions of people across the nation with whom the company has relationships.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Louisville, KY, US

Year founded

1961

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