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Healthcare Data Engineer Jobs (NOW HIRING)

You'll work closely with teammates, engineering partners, and operational stakeholders to ... analysis, data analysis, and/or process improvement. * 2+ years of experience in the healthcare ...

You'll work closely with teammates, engineering partners, and operational stakeholders to ... analysis, data analysis, and/or process improvement. * 2+ years of experience in the healthcare ...

Interwell Health is a kidney care management company that partners with physicians on its mission ... Reporting to the Director of Data Engineering, the Staff Data Engineer serves as a senior technical ...

Lead Data Engineer

Columbia, MD · On-site +1

$150K - $160K/yr

We are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud ...

Our team of healthcare experts and clinicians collaborates with a range of stakeholders-from health ... Your Role The Sr. Data Engineer will be an integral member of the IT organization at Honest which ...

Senior Data Engineer

Tulsa, OK · Remote

$108K - $147K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... You will work with healthcare claims, eligibility, and related data ingested from carrier and TPA ...

Data Engineer - AWS

Manhattan, NY · On-site

$118K - $132K/yr

VillageCare has delivered quality health care services to individuals residing within New York City for over 45 years. Scope of the Role As a Data Engineer, you will strengthen VillageCare's cloud ...

... data analysis, preferably in healthcare or Medicaid. c) Strong proficiency in SQL/SAS, with working knowledge of Python for data manipulation, analysis, and automation tasks. d) Three (3) years of ...

New

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Free Market Health, founded in 2019 and headquartered in Pittsburgh, PA, supports payers and specialty pharmacies in navigating the healthcare market. They are seeking a Data Engineer to build and ...

Data Engineer - AWS

Manhattan, NY · On-site

$118K - $132K/yr

VillageCare has delivered quality health care services to individuals residing within New York City for over 45 years. Scope of the Role As a Data Engineer, you will strengthen VillageCare's cloud ...

We invite you to apply today and join us in shaping the future of healthcare! Key Responsibilities: * Develop and maintain metrics, dashboards, and reports that impact data driven decisions.

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Healthcare Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do healthcare data engineer jobs pay per year?

As of Jul 11, 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, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Healthcare Data Analyst

Scalepex

Dallas, TX • On-site

Full-time

Re-posted 12 days ago


Job description

About the Role

The Data Analyst plays a key role in monitoring, managing, and improving healthcare data file exchanges across clients, vendors, and internal systems. This role sits within a DataOps team responsible for ensuring data pipelines are accurate, reliable, and delivered on time.

You'll work closely with teammates, engineering partners, and operational stakeholders to troubleshoot issues, support EDI workflows, and continuously improve data processes. The ideal candidate combines strong technical attention to detail with an understanding of how data operations support client satisfaction and broader business outcomes.

What You'll Do
  • Maintain a strong understanding of data and task workflows across operational departments.
  • Communicate the status of ongoing tasks and issues to end users, team leads, and DataOps leadership.
  • Analyze and troubleshoot insurance claims, eligibility, and import/export file mappings.
  • Identify and resolve issues related to enrollment and enrollment changes within EDI files, partnering with engineering teams as needed.
  • Coordinate ongoing EDI testing, implementations, and upgrades.
  • Troubleshoot and report operational errors, including file movement and SFTP connection issues.
  • Compare data files and reports against documented business requirements to ensure data quality and identify gaps.
  • Support continuous improvement of data workflows, documentation, and operational processes.
  • Perform additional duties as assigned by the Team Lead or DataOps Manager.

Requirements

What You Bring
  • 4+ years of experience in system analysis, data analysis, and/or process improvement.
  • 2+ years of experience in the healthcare industry; TPA experience preferred.
  • Associate or Bachelor's degree preferred, but not required.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Intermediate to advanced proficiency in Microsoft Office (Excel, Outlook, Word).
  • Familiarity with flat file data structures such as CSV or pipe-delimited files.
  • Experience using data analysis tools such as Excel, SQL, Tableau, Power BI, or similar tools.
  • Proven ability to analyze data, review requirements, and deliver insights that support business decisions.
  • Strong collaboration and communication skills across technical and non-technical teams.
  • Knowledge or experience with ANSI 5010 transactions (837, 835, 834, 270/271) preferred.