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Healthcare Data Engineer Jobs (NOW HIRING)

Health Care Data Engineer

New York, NY · On-site

$125K - $150K/yr

Senior Data Engineer - Position Summary The Senior Data Engineer designs and leads scalable data ... Experience with healthcare data and leading data teams * Agile development experience * Strong ...

Healthcare Data Engineer

New York, NY · Remote

$117K - $140K/yr

Job Requirements Education: Master's or Bachelor's degree in Engineering (IT, Electronics ... Experience with healthcare data and health forms. Analytics: Experience in advanced analytics.

DATA ENGINEER

San Francisco, CA · On-site

$134K - $162K/yr

Data Engineer Healthcare (1 2 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a motivated Data Engineer Healthcare to support healthcare data pipelines, data ...

New

Health Data Engineer - Mid

Tysons, VA

$115K - $139K/yr

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... Responsibilities We are seeking a results-driven Mid-Level Data Engineer to join our team and ...

Health Data Engineer - Mid

Tysons, VA

$115K - $139K/yr

With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy ... We are seeking a results-driven Mid-Level Data Engineer to join our team and contribute to ...

Associate Data Engineer

Kansas City, KS

$110K - $132K/yr

You will work with healthcare data pipelines, learn production data systems, and contribute to ... You will be mentored by experienced data engineers, gain hands-on experience with real healthcare ...

Data Engineer II

Baltimore, MD · Remote

$113K - $136K/yr

As a Data Engineer II, you will help build the pipelines, processes, and systems that ensure ... Opportunity to work with modern cloud-based data technologies and healthcare data platforms What ...

Data Engineer II

Baltimore, MD · Remote

$113K - $136K/yr

As a Data Engineer II, you will help build the pipelines, processes, and systems that ensure ... Opportunity to work with modern cloud-based data technologies and healthcare data platforms What ...

Senior Data Engineer

Washington, DC · On-site

$120K - $163K/yr

Analytica is seeking a Senior Data Engineer to support large-scale Health care data modernization and analytics initiatives. This role is responsible for designing, building, optimizing, and ...

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Analytica is seeking a Senior Data Engineer to support large-scale Health care data modernization and analytics initiatives. This role is responsible for designing, building, optimizing, and ...

The Healthcare Data Analyst is responsible for analyzing healthcare data to support clinical ... Experience with ETL tools (e.g., SSIS) or programming languages such as Python or .NET.

Data Engineer

Homewood, AL

$107K - $128K/yr

General Summary The Healthcare Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and analytics infrastructure for Urology Centers of Alabama, P.C. This ...

Use programming languages such as SQL or Python to extract, manipulate, and analyze large and ... Experience working with healthcare data, pharmacy/PBM data, medical claims, financial data, or ...

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AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

... healthcare datasets. The ideal candidate will have a strong background in data engineering ... principles, experience with big data technologies, and a keen understanding of the unique ...

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Healthcare Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do healthcare data engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for healthcare 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 a Healthcare Data Engineer job?

A Healthcare Data Engineer is responsible for designing, building, and maintaining data infrastructure in the healthcare industry. They work with large datasets from electronic health records (EHRs), medical devices, and other sources to ensure data is stored, processed, and accessed efficiently. Their role includes developing data pipelines, ensuring compliance with healthcare data regulations (such as HIPAA), and optimizing data for analytics and machine learning. By enabling secure and efficient data management, Healthcare Data Engineers help improve patient care, streamline operations, and support medical research.

What are the key skills and qualifications needed to thrive in the Healthcare Data Engineer position, and why are they important?

To thrive as a Healthcare Data Engineer, you need a solid background in computer science, data modeling, and understanding of healthcare data standards, often supported by a relevant degree and experience with big data technologies. Proficiency in programming languages like SQL, Python or R, knowledge of data warehousing solutions, and familiarity with HIPAA regulations or health information systems are typically required, along with certifications such as AWS Certified Data Analytics or Certified Health Data Analyst (CHDA). Strong problem-solving abilities, attention to detail, and effective communication skills are highly valued for collaborating with cross-functional teams. These skills are essential for building secure, reliable data systems that support healthcare analytics and ensure regulatory compliance.

What are some typical projects or challenges a Healthcare Data Engineer might face in their day-to-day work?

As a Healthcare Data Engineer, you may work on projects such as designing data pipelines to aggregate data from multiple EHR systems, ensuring data integrity and security throughout the process. A common challenge in this role is working with complex, sensitive datasets that must remain compliant with healthcare privacy regulations while still being accessible and useful for analysis. You’ll likely collaborate closely with data scientists, clinicians, and IT teams to understand data requirements and optimize system performance. Troubleshooting data quality issues and continuously improving data architecture are regular tasks, making adaptability and continuous learning important for ongoing success.

More about Healthcare Data Engineer jobs
What cities are hiring for Healthcare Data Engineer jobs? Cities with the most Healthcare Data Engineer job openings:
What are the most commonly searched types of Healthcare Data Engineer jobs? The most popular types of Healthcare Data Engineer jobs are:
What states have the most Healthcare Data Engineer jobs? States with the most job openings for Healthcare Data Engineer jobs include:
Infographic showing various Healthcare Data Engineer 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 $129,716 per year, or $62.4 per hour.

Health Care Data Engineer

Saransh Inc

New York, NY • On-site

$125K - $150K/yr

Contractor

Re-posted 11 days ago


Job description

 
 

Senior Data Engineer – Position Summary

The Senior Data Engineer designs and leads scalable data architectures and pipelines to support analytics and business intelligence. This role focuses on data optimization, workflow automation, and ensuring reliable data operations in a cloud-based environment.

Minimum Qualifications

  • 8+ years of IT experience, with 5+ years in:
  • Python, PySpark, and SQL for big data processing
  • Data lakes (Iceberg format), ETL (Informatica), and data quality
  • AWS services: S3, Glue, Redshift, Lambda, EMR, Airflow, Postgres
  • BASH/Shell scripting
  • Experience with healthcare data and leading data teams
  • Agile development experience
  • Strong problem-solving and communication skills

Responsibilities

  • Design and maintain scalable data pipelines and architectures
  • Lead data projects and ensure best practices
  • Collaborate across teams to meet data needs
  • Optimize data systems for analytics and reporting
Ensure data quality and system reliability in production environments