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Healthcare Data Engineer Jobs in Michigan (NOW HIRING)

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for someone to work closely with stakeholders on low code data engineering solutions. Technical ...

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for someone to work closely with stakeholders on low code data engineering solutions. Technical ...

Pwc

Payer Healthcare Data Scientist, Manager

Detroit, MI · On-site

$99K - $232K/yr

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

General Motors

Data Engineer

Warren, MI · On-site

$107K - $129K/yr

Monitor, troubleshoot, and improve pipeline health, runtime performance, cost efficiency, and ... Hands-on experience with Databricks for data engineering and analytics enablement, including:

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

What You'll Do : We are seeking a Senior Data Engineer / Data Engineer with strong hands-on ... a healthier on-call practice, or materially more stable deployments * Experience leading ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

What You'll Do : We are seeking a Senior Data Engineer / Data Engineer with strong hands-on ... a healthier on-call practice, or materially more stable deployments * Experience leading ...

HTC Global Services

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Azure Data Engineer Overview / Summary We are seeking an experienced Azure Data Engineer with 5-10 ... Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays ...

HTC Global Services Inc

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Azure Data Engineer Overview / Summary We are seeking an experienced Azure Data Engineer with 5-10 ... Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays ...

CFS

Senior Data Engineer

Lansing, MI

$125K - $155K/yr

Senior Data Engineer Salary: $125,000-$155,000 Benefits ... Free Healthcare options, Retirement Plan w/ match, 3.5 Weeks PTO, etc. Location: East Lansing, MI ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance ... Our Benefits -- Designed with You in Mind Comprehensive Health & Well-being Coverage From your very ...

Ford Motor Company

Data Engineer

Dearborn, MI

$105K - $127K/yr

The Data Engineer role resides within the Ford's Electric Vehicle organization. In this role, you ... Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid ...

Corning

$104K - $125K/yr

As a Data Engineer, you will build, maintain, and support data pipelines and cloud-based data ... Health and well-being benefits include medical, extended health care, dental and vision as from ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our team. In this role ... Experience with Terraform Our Benefits -- Designed with You in Mind Comprehensive Health & Well ...

Contact Government Services, LLC

Data Engineer

Detroit, MI

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... We care about our employees. Therefore, we offer a comprehensive benefits package: -Health, Dental ...

HTC Global Services

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is ... Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays ...

HTC Global Services

Data Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

Data Engineer (Azure, Microsoft Dynamics 365 & Power BI) Overview / Summary The Data Engineer is ... Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays ...

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All JobsHealthcare Data Engineer JobsHealthcare Data Engineer Jobs in Michigan

Healthcare Data Engineer information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do healthcare data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for healthcare data engineer in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 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 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.

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 most commonly searched types of Healthcare Data Engineer jobs in Michigan? The most popular types of Healthcare Data Engineer jobs in Michigan are:
What are popular job titles related to Healthcare Data Engineer jobs in Michigan? For Healthcare Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Healthcare Data Engineer jobs in Michigan look for? The top searched job categories for Healthcare Data Engineer jobs in Michigan are:
Healthcare Data Engineer jobs near you
Infographic showing various Healthcare Data Engineer job openings in Michigan as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $113,060 per year, or $54.4 per hour.

IT Data Engineer

Western Michigan University

Kalamazoo, MI • On-site

$65K - $76K/yr

Full-time

Medical, Retirement, PTO

Re-posted 5 days ago

Western Michigan University rating

6.7

Company rating: 6.7 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

485th of 617 rated colleges and universities

Job description

Description
The Data Engineer is responsible for designing, building, and maintaining the organization's data
infrastructure to support a scalable, governed, and analytics-ready environment. This role focuses on the
development of robust data pipelines, integration of disparate data sources, and optimization of data storage
and processing frameworks, while contributing to the evolution of the WMed data platform toward a data-asa-
service (DaaS) model that enables standardized, secure, and reusable access to trusted data assets
across clinical operations, medical education, research, compliance, and executive decision-making.
Working within a modern data architecture, the Data Engineer transforms fragmented, system-centric data
into structured, reliable, and accessible datasets. This role partners closely with analysts, stakeholders, and
technical teams to ensure data availability, integrity, and performance across platforms including partner
EHRs, academic systems, and enterprise applications.
Please Note this is a Salaried Hybrid Position that will require on-site attendance. (MI residents only or willing to relocate - at their expense, to Michigan)
This position is NOT eligible for employer-sponsored work authorization (visa sponsorship), now or in the future.
BENEFITS
  • Wellness reimbursement.
  • Continuing education and tuition reimbursement.
  • Employer-funded retirement plan.
  • Two medical plan options: PPO and High Deductible Health Plan (HDHP) with employer HSA contribution.
  • Flexible work solutions based on position and department.
  • Up to four weeks of PTO accrual beginning in year one.
  • Paid holidays.
  • Paid volunteer time.
  • Paid preferred holiday.

DUTIES AND RESPONSIBILITIES:
  • Design, build, and maintain scalable data pipelines to ingest, transform, and load data from clinical, academic, and enterprise systems
  • Develop and manage ETL processes using tools such as Pentaho and Microsoft SSIS, ensuring reliability and performance
  • Design and implement data models and schemas to support downstream analytics and reporting use cases
  • Contribute to the development of a DaaS platform, enabling reusable, governed data products and standardized access patterns for analysts, applications, and self-service users
  • Optimize and maintain PostgreSQL data environments, including performance tuning and storage strategies
  • Implement and monitor data quality, validation, and error-handling processes
  • Establish and maintain data lineage, metadata, and documentation to support governance and transparency
  • Integrate new data sources into the data platform, including APIs, flat files, and third-party systems
  • Troubleshoot and resolve data issues across the full data lifecycle
  • Support the evolution of organizational data architecture toward a modern, scalable platform
  • Contribute to standards, best practices, and governance frameworks for data engineering
  • All other duties as assigned

Requirements
To perform this job successfully, an individual must be able to perform each duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
EDUCATION AND/OR EXPERIENCE:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related technical field (or equivalent experience).
  • 3 to 5 years of experience in data engineering, ETL development, or data platform engineering.
  • Advanced proficiency in SQL (PostgreSQL or similar relational databases).
  • Experience designing and managing data pipelines and workflows (Pentaho, Microsoft SSIS, or similar ETL tools).
  • Experience working with healthcare data systems preferred.
  • Experience integrating academic and enterprise systems preferred.

OTHER SKILLS AND ABILITIES:
  • Strong understanding of data architecture, data modeling, and data warehousing concepts.
  • Experience building and maintaining data pipelines (ETL), orchestration, and scheduling frameworks.
  • Knowledge of data warehousing and/or data lake architectures.
  • Experience with data quality frameworks, validation, and monitoring.
  • Familiarity with performance tuning and query optimization.
  • Familiarity with modern data platform concepts including DaaS and self-service analytics enablement.
  • Understanding of data governance, lineage, and metadata management concepts.
  • Experience working with structured and semi-structured data (CSV, JSON, APIs).
  • Ability to troubleshoot data issues across multiple systems and layers (source to pipeline to warehouse to reporting).
  • Experience with BI tools (Power BI or similar) for downstream data consumption.
  • Ability to learn and adapt to evolving data technologies and platforms.

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