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Healthcare Data Engineer Jobs (NOW HIRING)

Data Engineer

Addison, TX · Hybrid

$110K - $133K/yr

Overview he Data Engineer will play a key role in acquiring, transforming, and integrating data ... Experience in healthcare data domains is highly desired. Strong expertise in healthcare data ...

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

Open, but no OPT/CPT Industry: Healthcare Company We are seeking an experienced dbt Engineer / Data Engineer to support the transitioning, development and modernization of a healthcare data and ...

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Data Engineer

Irvine, CA · On-site

$100K - $115K/yr

This role partners with business and technical stakeholders to deliver trusted healthcare data, including Epic data, for reporting, analytics, and AI-driven initiatives. The engineer is responsible ...

New

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 ...

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

They are seeking a Senior Data Engineer to support large-scale healthcare data modernization and analytics initiatives, responsible for designing, building, optimizing, and operating enterprise-grade ...

Data Engineer

El Segundo, CA · On-site

$122K - $146K/yr

About Circadia Health Circadia Health is a growth-stage healthcare AI company on a mission to ... About the Role As a Data Engineer at Circadia Health, you will play a critical role in building and ...

Data Engineer

Rockville, MD · On-site

$116K - $140K/yr

Data Engineer Client: MD State Reference# 71 Number of Positions: Multiple Location: Primary place ... Work hands-on with AWS Health Lake (or equivalent) to store and query healthcare data. * Data ...

$99K - $119K/yr

Medisolv, a national leader in healthcare quality data management solutions, is seeking a Data Engineer/Analyst to join our growing team. We empower over 1,800 hospitals and 15,000 providers with our ...

Data Engineer I

Plantation, FL · On-site

$113K - $136K/yr

We partner with managed care organizations to provide innovative healthcare solutions that drive ... DATA ENGINEER I The Technology & Data team is seeking a Data Engineer I to support the development ...

Data Engineer - Healthcare

Boston, MA · On-site

$124K - $149K/yr

They are seeking a Data Engineer to design and develop data pipelines and complex reporting systems ... data terminology. • Healthcare Experience and a Clear understanding and working knowledge of ...

Healthcare Data Project Manager

Austin, TX · On-site

$51.25 - $69.25/hr

This role supports a Technical Project Manager for a data engineering project with an AI adoption ... healthcare data initiatives; familiarity with standards such as FHIR, CCDA, and HL7 is a plus. 10 ...

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 ...

Showing results 21-40

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 Aug 21, 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?

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 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.

What are the key skills and qualifications needed to thrive as a healthcare data engineer, 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.

How do you become a healthcare data engineer?

To become a healthcare data engineer, one typically needs a bachelor's degree in computer science, data science, or a related field, along with experience in data management, programming languages like Python or SQL, and familiarity with healthcare data standards such as HL7 or FHIR. Gaining knowledge of healthcare regulations like HIPAA and obtaining relevant certifications can also enhance job prospects. Practical experience with data pipelines, cloud platforms, and database systems is essential for this role.
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 August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$110K - $133K/yr

Full-time

Re-posted 10 days ago


Job description

Overview

he Data Engineer will play a key role in acquiring, transforming, and integrating data from enterprise systems into scalable data platforms. The role involves designing high-performance data solutions, collaborating with other engineers,and across different functional groups to ensure strategic data initiatives are delivered efficiently and effectively. This individual will have a strong track record in building robust Database solutions using Microsoft SQL Server and Azure technologies. Experience in healthcare data domains is highly desired.

Strong expertise in healthcare data domains is highly preferred.

NOTE: THIS IS A HYBRID ROLE. MUST BE WILLING TO COMMUTE TO THE ADDISON, TX.  OFFICE 3 DAYS PER WEEK!

Responsibilities

ROLE AND RESPONSIBILITIES

The Data Engineer will play a key role in acquiring, transforming, and integrating data from enterprise systems into scalable data platforms. The role involves designing high-performance data solutions, collaborating with other engineers, and across different functional groups to ensure strategic data initiatives are delivered efficiently and effectively. This individual will have a strong track record in building robust Database solutions using Microsoft SQL Server and Azure technologies. Experience in healthcare data domains is highly desired.

PRIMARY DUTIES

  • Integrate data from Clinical/Healthcare Practice Management Systems, Electronic Medical Record Systems (EMRs), HR systems, Accounting, Customer Relationship Management systems (CRM), and other enterprise systems.
  • Develop scalable data platforms and database architectures supporting multiple business lines.
  • Design and optimize complex ETL/ELT data pipelines using Azure Data Factory, other Azure services and python, ensuring high reliability and performance.
  • Orchestrate pipelines that leverage AI/LLMs for data extraction from various documents and sources.
  • Drive initiatives to capture all necessary data and orchestrate the development of sustainable enterprise-grade databases.
  • Conduct advanced data profiling, cleansing, and transformation for analytics and reporting teams.
  • Drive implementation of Master Data Management (MDM) strategies to ensure data consistency and integrity.
  • Identify process improvement opportunities and spearhead automation to reduce delivery time and increase quality.
  • Establish and maintain comprehensive data lineage, monitoring, and operational tracking systems.
  • Provide hands-on support to other engineers and contribute to a culture of knowledge sharing and continuous improvement.
  • Collaborate closely with stakeholders to gather evolving data requirements and translate them into scalable technical solutions.
  • Maintain high standards for code quality through documentation, source control, code reviews, and rigorous testing practices.
  • Identify integration gaps, recommend solutions, and ensure continuous improvement of data processes.
  • Establish and enforce best practices for data engineering and integration across the team.
  • Explore and evaluate emerging Azure features, leading proofs of concept to assess fit for purpose.
Qualifications

MINIMUM QUALIFICATIONS AND REQUIREMENTS

  • 4+ years of experience in database and ETL development roles.
  • 2+ years of deep hands-on experience with Azure Data Factory (ADF).
  • 1+ years of experience with healthcare and/or financial data or other highly regulated vertical segments.
  • 1+ years of experience using python
  • Good working knowledge of Azure ecosystem tools.
  • Proficiency in T-SQL and SQL Server.
  • Strong grasp of data modeling, indexing, and schema design principles.
  • Proven ability to manage multiple priorities and drive solutions from conception to production.
  • Effective collaborator and communicator, capable of interfacing with all stakeholders.
  • Bachelor's degree or higher.

PREFERRED EXPERIENCE

  • Experience working with data integration related to Healthcare EDI files, such as 835, 837, etc.
  • Experience working on data extraction from documents using AI/LLMs.

NOTE: This position follows a hybrid work model with a minimum of 3 days per week in our Addison, TX office.

Employment Type: FULL_TIME