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Mental Health Data Engineer Jobs (NOW HIRING)

Keebler Health

Data Engineer (Health Data Metrics)

Durham, NC · On-site

$110K - $132K/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 ...

Lyra Health

Sr. Data Engineer

$128K - $176K/yr

About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving ... We are looking for an exceptional Sr. Data Engineer to join our team and help shape the future of ...

Apple

Data Engineer - Health Sensing

Sunnyvale, CA · On-site

$150K - $277K/yr

We are a team of strong data engineers that build the scalable data infrastructure that powers health research at Apple. We develop high-performance data pipelines and processing systems to support ...

Apple Inc.

Data Engineer - Health Sensing

Sunnyvale, CA · On-site

$150K - $277K/yr

We are a team of strong data engineers that build the scalable data infrastructure that powers health research at Apple. We develop high-performance data pipelines and processing systems to support ...

Charlie Health

Staff Data Engineer

New York, NY · On-site

$175K - $255K/yr

About the Role The Analytics & Data Engineering team owns all post-transactional data operations ... If you're energized by the opportunity to expand access to mental healthcare and make a meaningful ...

Central Health

Data Systems Engineer

Austin, TX · On-site

$115K - $138K/yr

Overview JOB SUMMARY The Central Health System's Data Engineer is responsible for designing, developing, and maintaining scalable data systems that support enterprise reporting, analytics, data ...

Charlie Health

Staff Data Engineer

New York, NY

$175K - $255K/yr

Why Charlie Health? Millions of people across the country are navigating mental health conditions ... About the Role The Analytics & Data Engineering team owns all post-transactional data operations ...

Eitacies Inc

Snowflake Data Engineer (AWS)

Nashville, TN · Remote

$117K - $140K/yr

Benefits: * 401(k) Snowflake Data Engineer (AWS Environment) Only TN residents Nashville, TN ... Strong in data ingestion, transformation, validation Plus: * Healthcare / Public Health data ...

fphny

Data Engineer

Astoria, NY · Hybrid

$130K - $135K/yr

Data Engineer Department ... Department of Health and Mental Hygiene Division: Center for Population Health and Data Science ...

Curant Health

Data Engineer II

Smyrna, GA · On-site

$114K - $137K/yr

Position Summary Curant Health is seeking a Data Engineer II to design, develop, and support scalable data solutions across the organization. This role will focus on building and optimizing ETL/ELT ...

Booz Allen Hamilton

Health Data Scientist

Atlanta, GA

$86K - $198K/yr

As a Health Data Scientist at Booz Allen,you'llhelp build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You ...

Curant Health

Data Engineer II

Smyrna, GA · On-site

$114K - $137K/yr

Position Summary Curant Health is seeking a Data Engineer II to design, develop, and support scalable data solutions across the organization. This role will focus on building and optimizing ETL/ELT ...

Curant Health

$84K - $101K/yr

Georgia 200 Technology Ct SE Suite B Smyrna, GA 30082, USA Description Position Summary Curant Health is seeking a Data Engineer II to design, develop, and support scalable data solutions across the ...

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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.

Data Engineer (Health Data Metrics)

Durham, NC • On-site

Keebler Health
See more jobs at Keebler Healthexternal

$110K - $132K/yr

Full-time

Posted 10 days ago

Job description

About Keebler Health
Keebler Health is building the operating system for value-based care. Our mission is to help risk-bearing healthcare organizations thrive in value-based arrangements by unlocking the full power of their data. We empower leading primary care groups, ACOs, and health plans to act on real-time insights that improve outcomes, reduce costs, and fuel sustainable growth.
We're a fast-moving, high-performing team, and we're looking for people who share our bias toward speed, urgency, and excellence. 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 senior level Data Engineer to join our team and play a critical role in building and optimizing the data infrastructure that powers our healthcare AI solutions. The ideal candidate will bring expertise in modern data engineering tools and techniques, with a specific focus on healthcare quality metrics, population health, and data interoperability standards such as FHIR. Level and salary will commensurate with experience.
Key Responsibilities
Data Engineering and Development
  • Design, build, and maintain scalable, efficient data pipelines for ETL/EL T processes on AWS.
  • Develop, test, and deploy robust solutions using SQL and Python for data transformation and analysis.
  • Implement and manage data warehousing solutions using Redshift Serverless and other AWS data services.
  • Leverage dbt (Data Build Tool) for data modeling, transformation, and documentation.
  • Utilize workflow orchestration tools such as Temporal for pipeline automation.
Healthcare Data Expertise
  • Work with healthcare quality metrics such for value-based care and ensure data alignment with industry standards.
  • Collaborate with stakeholders to integrate population health tools and analytics into data workflows.
  • Develop and maintain familiarity with FHIR data models and healthcare interoperability standards for seamless integration of healthcare data sources.
  • Ensure compliance with HIPAA and other healthcare regulatory requirements in all data handling processes.
Optimization and Innovation
  • Identify and resolve performance bottlenecks in data pipelines, ensuring high availability and reliability.
  • Optimize data storage and querying performance within Redshift Serverless and AWS infrastructure.
  • Stay current with emerging trends in data engineering and healthcare technology, incorporating innovations into the data ecosystem.
Collaboration and Impact
  • Partner with data and engineering teams to ensure data is accessible and meets business requirements.
  • Develop scalable solutions for integrating complex healthcare datasets, ensuring data quality and accuracy.
  • Contribute to the design and implementation of secure, scalable, and efficient data architecture on AWS.

Required Qualifications
  • Must be US based. No foreign applicants will be considered.
  • Proven experience in data engineering roles with expertise in SQL, Python, and AWS cloud-based data infrastructure.
  • Experience with tools like dbt and Spark/PySpark for data transformation and modeling.
  • Familiarity with healthcare data systems, including HEDIS metrics, population health tools, and FHIR data models.
  • Knowledge of data warehousing and workflow orchestration tools.

Preferred Skills
  • Strong understanding of healthcare data standards, including FHIR, HL7 and CQL.
  • Hands-on experience with data modeling, normalization, and schema design for complex datasets.
  • Experience designing and building scalable, production-grade data pipelines using orchestration tools such as Airflow, Dagster, or Temporal.
  • Hands-on experience with AWS data and compute services, including Glue, EMR, Iceberg, Redshift Serverless, S3, Lambda, and related technologies.
  • Strong experience with data transformation and distributed processing, using tools such as dbt, Spark/PySpark, and Pandas.
  • Experience designing and operating HIPAA-compliant data architectures and handling sensitive healthcare data.
  • Demonstrated ability to optimize data pipelines for performance, scalability, and reliability in cloud environments.
  • Strong problem-solving skills and attention to detail when working with large, complex, and heterogeneous datasets.
  • Experience with Infrastructure as Code (IaC) tools such as Terraform.

What We Offer
  • Competitive salary and benefits package.
  • Opportunity to work in a fast-paced, innovative environment.
  • Professional growth and development opportunities.
  • Collaborative and supportive team culture.
  • Chance to make a meaningful impact on the healthcare industry.

When applying
In addition to your resume, also include:
  • A highly personalized, bold, and hilarious "Keebler Health-style" introduction that grabs attention - outgoing, fun, and uniquely you (not uniquely ChatGPT). Think: confident, high-energy, slightly irreverent (but still professional), with a smart nod to healthcare, value-based care, and the fact that we're building something real.

Apply