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Healthcare Data Engineer Jobs in Michigan (NOW HIRING)

Senior Data Engineer

Troy, MI · On-site +1

$100K - $136K/yr

About Protera Health Protera Health is a musculoskeletal (MSK) specialty care company. We partner ... About the Role As a hands-on Senior Data Engineer on a small team, you will build and scale the ...

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 ...

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 ...

Senior Staff Data Engineer

Portage, MI · On-site +1

$153K - $255K/yr

Own end-to-end delivery of complex data engineering initiatives from requirements through ... Design and implement data pipelines supporting healthcare data sources including EHR, registries ...

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 ...

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 ...

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 ...

Senior Data Engineer

Lansing, MI · On-site

$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 ...

Data Engineer

Dearborn, MI · On-site

$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 ...

Data Engineer

Auburn Hills, MI · On-site

$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 ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Data Engineering & Pipeline Development: * Design, build, and maintain secure, scalable data ... Health & Well-being Coverage From your very first day, you'll have access to medical, dental ...

$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 ...

Data Engineer

Detroit, MI · On-site

$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 ...

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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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 25, 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 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.

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 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:

Infographic showing various Healthcare Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.

Senior Data Engineer

Troy, MI • On-site, Remote

$100K - $136K/yr

Full-time

Medical, Retirement, PTO

Posted 12 days ago


Job description

About Protera Health
Protera Health is a musculoskeletal (MSK) specialty care company. We partner with health plans, health systems, and employers to deliver coordinated, measurable MSK care - reducing unnecessary surgery and imaging while getting people back to full function faster. Our clinical model combines specialist physicians, physical therapy, and digital care navigation, wrapped in a technology platform that connects patients, clinicians, and payer partners.
This is not a narrow engineering job, an architecture-only role, or a 40-hour-per-week clock-in, clock-out position. We care about ownership, sound judgment, velocity, and outcomes. The right person will have founder-level autonomy, direct access to leadership, and the opportunity to build core systems that affect real patients, clinicians, and healthcare partners.
About the Role
As a hands-on Senior Data Engineer on a small team, you will build and scale the data platform driving Protera's clinical operations, payer reporting, and analytics. This is a senior individual contributor role reporting to the President. In this role, you will collaborate cross-functionally with clinical, technology, finance, and compliance teams. This role is 100% hands-on; you are expected to be the full technical lead for your domain, not one of several engineers on a layered team.
We are seeking a highly capable data engineer with a specialized background in healthcare data and claims processing.
  • Core Technical Stack: In this role, you will lead the development and day-to-day function of the data platform supporting our clinical, business intelligence, and artificial intelligence operations. This is a hands-on, full-stack data role; your responsibilities will span constructing data pipelines, developing and maintaining backend architecture, and integrating modern AI-driven development tools. Experience with production Python, Terraform, GCP infrastructure, CI/CD, and pipeline observability are required.
  • Experience with Healthcare Claims Data: We are looking for someone with deep expertise with PHI and Healthcare claims data.
  • AI Philosophy: We encourage the responsible use of AI development tools but strictly prohibit inputting PHI. You will champion the safe AI principles fundamental to our engineering culture.
Key Responsibilities
  • Pipeline Engineering: Build and orchestrate (via Mage) ingestion pipelines (SFTP, APIs, EHR extracts) and write production-grade Python for transformations, reporting, and internal tooling.
  • Data Modeling & SQL: Design optimized analytical models (BigQuery) and maintain complex SQL assets (BigQuery, PostgreSQL), balancing scale, performance, and cost.
  • Infrastructure as Code: Own and manage GCP infrastructure (Compute Engine, Cloud SQL, Cloud Storage, Functions, Secret Manager, VPC, IAM) entirely via Terraform.
  • Observability: Implement robust data quality checks, freshness/volume monitoring, failure alerts, and incident response paths.
  • Business Intelligence & Reporting: Develop and maintain internal reporting surfaces (Looker Studio, Grafana, Metabase).
  • Security & Compliance: Design pipelines that adhere to requirements surrounding PHI, ensuring minimum-necessary access, encryption, least-privilege IAM, and audit logging to support our SOC 2 Type 2, HIPAA, and HITRUST compliance initiatives.
  • Cross-Functional Strategy: Collaborate with team members within clinical operations, product, finance, etc. to translate business questions into reliable data products, while contributing to the architecture for future AI/ML initiatives (data preparation, feature engineering).
Required Qualifications
  • Experience: 5+ years in data engineering, analytics engineering, or a hybrid backend/data role.
  • Education: Bachelor's in Computer Science or a related field or equivalent experience.
  • Software Fundamentals: Ability to write, test, debug, ship production code, and utilize structured logging and dependency management.
  • Demonstrated experience working with healthcare claims data
  • Python & SQL Proficiency: Deep expertise in production data pipelines, window functions, CTEs, and query/cost optimization for large tables.
  • GCP Ecosystem: Hands-on experience with BigQuery, Cloud Storage, Cloud SQL, Compute Engine, Functions, Logging/Monitoring, Secret Manager, and IAM.
  • PostgreSQL: Production experience encompassing schema design, indexing, and diagnosing slow queries.
  • Orchestration & BI: Experience with modern orchestrators (Mage, Airflow, Dagster, dbt) and BI layers (Looker Studio, Power BI, semantic modeling).
  • Security & AI Ethics: Demonstrated care handling sensitive data in regulated environments, paired with sound judgment regarding when (and when not) to use AI-assisted coding tools.
Beneficial Experience ("Nice to Have")
  • Startup Experience: Proven success thriving in fast-paced, lean environments with high autonomy and end-to-end ownership of technical outcomes.
  • Continuous Tech Evaluation: A "lifelong learner" mindset with the ability to evaluate and responsibly integrate emerging data technologies.
  • Healthcare Domain Knowledge: Familiarity with X12 EDI, payer file formats, HL7/FHIR, EHR integrations (Healthie is a strong plus), and HIPAA regulations.
  • Analytics Background: Foundational data science or basic data analytics skills.
Why Protera
  • Lead and shape a growing multidisciplinary clinical organization.
  • Build the systems that determine how patients experience their care.
  • Work directly with experienced clinical, operational, and technology leaders.
  • Fully remote work: work from your home or other private, secured area to help fit your lifestyle
  • Competitive compensation, equity and bonus opportunities based on your experience and results delivered
  • Paid Time Off (PTO): Generous paid time off that includes vacation days and holidays
  • Equity options to benefit from company growth
  • Healthcare benefits and 401(k) retirement plan to keep you well and planning for the future
  • Being part of a mission-driven company focused on delivering the care we would want for our own families.

Compensation: This role offers a base salary of $135,000 - $195,000, depending on experience and qualifications
Note: This job description is intended as a guideline and may evolve based on organizational needs. Additional responsibilities may be assigned as needed based on business considerations. Compensation may vary from the target range and is based on multiple factors, including individual experience, location, pay-equity considerations, and other relevant considerations.
Protera Health is an equal opportunity employer. We encourage respect and harmony among employees and prohibit harassment or discrimination of any kind.