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Healthcare Data Engineering Manager Jobs (NOW HIRING)

LMI

Health Data Engineer - Mid

Tysons, VA · On-site

$115K - $139K/yr

Design, implement, and manage cloud-based data engineering solutions using cloud platforms ... Integrate data across healthcare applications and systems * Prepare clean, well-organized datasets ...

RA Capital Management, LLC

Data Engineer

Boston, MA

$124K - $149K/yr

Our work sits at the intersection of healthcare data, large-scale data engineering, and applied AI ... Experience in software development, data integration, vendor data management, and writing ...

Elpixel

$176K - $228K/yr

... Engineering Manager for an important company in the Healthcare industry , with a strong technology ... Data platforms and AI-enabled products. * Experience modernizing legacy applications. * Security ...

H.E.B.

Data Engineering Manager

San Antonio, TX · On-site

This leader will manage and develop a team of Data Engineers responsible for building reliable, secure, and high-performance data pipelines, machine learning data infrastructure, and customer data ...

Tahoe Forest Health

Data Engineering Manager

Reno, NV · On-site

$128K/yr

... Summary The Manager of Data and Engineering lead the technical development, reliability ... Experience working with healthcare data. * Experience with Epic Clarity, Caboodle, Power BI ...

General Motors

Data Engineering Manager

Austin, TX · On-site

$113K - $136K/yr

About the Role The Data Engineering Manager will lead a team of data engineers focused on building and operating Customer data platforms supporting OnStar, Connected Services, Customer, Marketing ...

Analytica

Senior Data Engineer

Washington, DC · On-site

$120K - $163K/yr

... data engineering, DataOps practices, and regulated healthcare environments. The Senior Data ... Implement auditability, lineage, metadata management, and data quality controls. * Partner with ...

Summit Managed Solutions

Summit Managed Solutions LLC Healthcare Data Analyst Remote · Full time Company website About Summit Managed Solutions LLC Summit Managed Solutions partners with healthcare organizations to help ...

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Healthcare Data Engineering Manager information

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$31K

$97.1K

$172K

How much do healthcare data engineering manager jobs pay per year?

As of Sep 10, 2026, the average yearly pay for healthcare data engineering manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What does a healthcare data engineering manager do?

A Healthcare Data Engineering Manager oversees teams that design, build, and maintain data systems specifically for healthcare organizations. They ensure the secure and efficient management of large volumes of sensitive patient and operational data, enabling analytics and reporting to support clinical and business decisions. Their responsibilities include managing data pipelines, ensuring compliance with healthcare regulations like HIPAA, collaborating with stakeholders, and leading technical staff. This role requires both technical expertise in data engineering and leadership skills to guide teams and projects.

What are the key skills and qualifications needed to thrive as a healthcare data engineering manager?

To thrive as a Healthcare Data Engineering Manager, you need a strong background in data engineering, healthcare data standards (like HL7 and FHIR), and leadership, often supported by a degree in computer science or a related field. Experience with data warehousing, ETL tools, cloud platforms (such as AWS or Azure), and relevant certifications (e.g., AWS Certified Data Analytics) is typically required. Excellent communication, problem-solving, and team management skills set top candidates apart in this role. These competencies ensure secure, efficient data solutions that support healthcare delivery and regulatory compliance.

What are some common challenges faced by healthcare data engineering managers when leading data integration projects across multiple healthcare systems?

Healthcare Data Engineering Managers often encounter challenges related to integrating data from diverse electronic health record (EHR) systems, each with its own data standards and security protocols. Ensuring compliance with HIPAA and other regulatory requirements adds complexity, as does maintaining data quality and consistency during migration or integration. Effective collaboration with clinicians, IT professionals, and analytics teams is essential to ensure that technical solutions align with organizational goals and clinical needs. Proactive communication and robust project management skills are key to overcoming these obstacles and delivering successful outcomes.

What are popular job titles related to Healthcare Data Engineering Manager jobs?

For Healthcare Data Engineering Manager jobs, the most frequently searched job titles are:

Infographic showing various Healthcare Data Engineering Manager job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $97,145 per year, or $46.7 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 8 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