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Mental Health Data Engineer Jobs (NOW HIRING)

Guidehouse

Public Health Data Engineer

Beavercreek, OH

$106K - $127K/yr

Exposure to CI/CD tools and DevOps practices. * AWS, Azure, Databricks, or related cloud/data certifications. * Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Guidehouse

Public Health Data Engineer

Houston, TX

$109K - $131K/yr

Exposure to CI/CD tools and DevOps practices. * AWS, Azure, Databricks, or related cloud/data certifications. * Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Guidehouse

Public Health Data Engineer

Charlotte, NC

$111K - $134K/yr

Exposure to CI/CD tools and DevOps practices. * AWS, Azure, Databricks, or related cloud/data certifications. * Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Guidehouse

Public Health Data Engineer

San Antonio, TX

$103K - $124K/yr

Exposure to CI/CD tools and DevOps practices. * AWS, Azure, Databricks, or related cloud/data certifications. * Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

LMI

Health Data Engineer - Mid

Tysons, VA · On-site

$115K - $139K/yr

Responsibilities We are seeking a results-driven Mid-Level Data Engineer to join our team and contribute to developing cutting-edge healthcare data solutions. This role involves building, managing ...

Guidehouse

Public Health Data Engineer

Atlanta, GA

$110K - $132K/yr

Exposure to CI/CD tools and DevOps practices. * AWS, Azure, Databricks, or related cloud/data certifications. * Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Guidehouse

Public Health Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

Exposure to CI/CD tools and DevOps practices. * AWS, Azure, Databricks, or related cloud/data certifications. * Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Guidehouse

Public Health Data Engineer

Huntsville, AL

$112K - $135K/yr

Exposure to CI/CD tools and DevOps practices. * AWS, Azure, Databricks, or related cloud/data certifications. * Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Keebler Health

Data Engineer (Health Data Metrics)

Durham, NC · On-site

$103K - $124K/yr

We are seeking a Data Engineer to lead our efforts around reporting scalable metrics for healthcare data and AI driven suggestions. About the role We are seeking a skilled and motivated mid level to ...

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Mental Health Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do mental health data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for mental health 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 Mental Health Data Engineer vs Data Scientist in Mental Health?

AspectMental Health Data EngineerData Scientist in Mental Health
Required CredentialsBachelor's or higher in Data Science, Computer Science, or related fields; experience with data engineering toolsBachelor's or higher in Data Science, Statistics, or related fields; proficiency in data analysis and modeling
Work EnvironmentData pipelines, cloud platforms, database management in healthcare settingsData analysis, modeling, and interpretation in mental health research or clinical data
Employer & Industry UsageHospitals, mental health clinics, health tech companiesResearch institutions, healthcare providers, mental health startups

The main difference is that Mental Health Data Engineers focus on building and maintaining data infrastructure, while Data Scientists analyze and interpret mental health data to generate insights. Both roles often collaborate but serve distinct functions within mental health data projects.

What are popular job titles related to Mental Health Data Engineer jobs?

For Mental Health Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Mental Health Data Engineer job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 75% Full Time, 17% Part Time, and 6% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Population Health Data Engineer

Merrimack, NH • On-site

Software Technology Inc
See more jobs at Software Technology Incexternal

$117K - $140K/yr

Full-time

Posted 14 days ago

Job description

Population Health Data Engineer

We are seeking a skilled Population Health Data Engineer with deep expertise in Epic data ecosystems and healthcare analytics. This role will focus on designing, building, and optimizing data pipelines and models to support population health, quality of care and claims analytics.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines supporting population health, claims analytics, and reporting.
  • Work extensively with Epic data sources including Registries, Rosters, Chronicles, Clarity, and Caboodle.
  • Integrate clinical and claims data to support longitudinal patient views and advanced analytics.
  • Develop data models for population health use cases including quality measures, risk stratification, utilization, and care management analysis.
  • Support development and operationalization of risk scoring data models and analytics (e.g., MARA, HCC, RAF).
  • Process and transform healthcare claims data (medical and pharmacy) for analytics and reporting.
  • Work with Milliman MedInsight data structures to support payer-provider analytics and efficiency benchmarking.
  • Build and optimize ELT pipelines using modern cloud platforms.
  • Collaborate with healthy planet, efficiency, quality, clinical, and analytics teams to translate business needs into technical solutions.
  • Ensure data quality, governance, and compliance with healthcare regulations (e.g., HIPAA).
  • Optimize performance of large-scale datasets and queries.

Required Qualifications

  • Strong hands-on experience with Epic systems, including:
    • Epic Registries
    • Chronicles data structures
    • Hyperspace or Hyperdrive environments
    • Clarity and Caboodle data models
  • Experience with modern data engineering tools and platforms:
    • Snowflake (data warehousing)
    • DBT (data transformation and modeling)
    • Dynamic Tables in Snowflake
  • Solid understanding of healthcare domain concepts, including population health and value-based care.
  • Experience with healthcare claims processing (medical and pharmacy claims).
  • Hands-on experience with Milliman MedInsight data models and analytics workflows.
  • Strong SQL and data modeling expertise.
  • Experience building and maintaining data pipelines.

Key Skills

  • Population Health & Risk Analytics
  • Healthcare Data Modeling (Clinical and Claims)
  • Epic Data Ecosystem Expertise
  • Snowflake & DBT
  • SQL & Performance Optimization
  • Data Governance & Compliance

Education & Experience

  • Bachelor's or Master's degree in Computer Science, Health Informatics, Data Engineering, or related field.
  • 6+ years of experience in data engineering, with strong preference for healthcare, payer, or population health analytics experience.

Apply