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Healthcare Data Engineer Jobs in Wisconsin (NOW HIRING)

WI · On-site

$150 - $175/hr

Senior Manager, Healthcare Data Integration and Analytics Date: Aug 21, 2026 Location: Any city, TX, US, 99999 Work Mode: Virtual (Exception only) Be part of a team that unleashes the power of ...

Data Engineer

Madison, WI · On-site

$105K - $120K/yr

Committed to our employees and their families, we offer a suite of benefits promoting health and ... We are known for the great care we take with our staff, our agents, and our customers. We are ...

Data Engineer

Madison, WI · On-site

$105K - $120K/yr

Committed to our employees and their families, we offer a suite of benefits promoting health and ... We are known for the great care we take with our staff, our agents, and our customers. We are ...

Data Engineer

Wausau, WI · On-site

$122K - $147K/yr

You will be responsible for the health and performance of our vector databases (e.g., Pinecone ... Azure Data Engineer Associate Understanding of social coding and Integrated Development ...

New

Data Engineer

Wausau, WI · On-site

$122K - $147K/yr

You will be responsible for the health and performance of our vector databases (e.g., Pinecone ... Azure Data Engineer Associate Understanding of social coding and Integrated Development ...

New

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... Committed to our employees and their families, we offer a suite of benefits promoting health and ...

Data Engineer

Madison, WI · On-site +1

$115K - $138K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ... Committed to our employees and their families, we offer a suite of benefits promoting health and ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our ... Working in our Data Engineering teams, you will collect and analyze data to develop robust ...

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our ... Working in our Data Engineering teams, you will collect and analyze data to develop robust ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our ... Working in our Data Engineering teams, you will collect and analyze data to develop robust ...

Data Engineer II

Menasha, WI · On-site

$117K - $140K/yr

And as "one of the Healthiest 100 Workplaces in America" is focused on the mind/body/soul of team members through our Culture of Care . The Data Engineer II delivers a range of modern technology ...

Senior Data Engineer

Brookfield, WI · On-site +1

$100K - $136K/yr

The Senior Data Engineer will design and build tools and processes that help clients derive ... Health Care Plan (Medical, Dental & Vision) * Retirement Plan (401k) * Life Insurance (Basic ...

Senior Data Engineer

Brookfield, WI · Remote

$100K - $136K/yr

The Senior Data Engineer will design and build tools and processes that help clients derive ... Health Care Plan (Medical, Dental & Vision) * Retirement Plan (401k) * Life Insurance (Basic ...

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Showing results 1-20

Healthcare Data Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do healthcare data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for healthcare data engineer in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 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 job categories do people searching Healthcare Data Engineer jobs in Wisconsin look for?

The top searched job categories for Healthcare Data Engineer jobs in Wisconsin are:

Infographic showing various Healthcare Data Engineer job openings in Wisconsin 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 $130,930 per year, or $62.9 per hour.

Healthcare Data and Analytics Specialist - Remote - USA

Madison, WI • On-site, Remote

FullStack Labs
IT Services • 11 - 50 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

About FullStack
FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
We're most proud of:
  • Offering life-changing career opportunities to talented software professionals across the Americas.
  • Building highly-skilled software development teams for hundreds of the world's greatest companies.
  • Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
  • Our 4.2-star rating on GlassDoor.
  • Our client Net Promoter Score of 68, twice the industry average.

The Position
We're looking to hire a Healthcare Data and Analytics Specialist to join our team. You'll work with our incredible clients in one of two ways:
  • Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
  • Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We Are Looking For
  • 5+ years of professional software engineering, data analysis, or data operations experience.
  • Advanced English is required.
  • Successful completion of a four-year college degree is required.
  • Deep experience in working with healthcare data, including medical claims, pharmacy claims, eligibility, enrollment, or payer/TPA/PBM benefits.
  • Expertise in using SQL to join complex datasets, investigate discrepancies, and construct maintainable analytical logic.
  • Solid background in healthcare data validation, reconciliation, data quality monitoring, and data operations workflows.
  • Solid understanding of healthcare claims structures, terminology, utilization, and financial metrics (such as allowed and paid amounts).
  • Track record of creating recurring analytical reporting, data dictionaries, and metric definitions for clients, employers, or executives.
  • Demonstrated experience investigating data issues and tracing discrepancies through different stages of a data ecosystem.
  • Comfortable working with relational databases (such as PostgreSQL) and familiar with file transmissions like SFTP, flat files, or APIs.
  • Knowledgeable in HIPAA compliance, protected health information (PHI) regulations, and healthcare data security controls.
  • Ability to work through new and difficult issues and contribute to libraries as needed.
  • Ability to create and maintain continuous integration and delivery of applications.
  • Forensic attention to detail.
  • A positive mindset and a can-do attitude.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • Ability to identify with the goals of FullStack's clients and dedicate yourself to delivering on the commitments you and your team make to them.

What We Offer
  • Competitive Salary.
  • Paid Time Off (vacation, sick leave. parental leave, and holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
Learn more about our Applicants Privacy Notice .

FullStack Labs logo

About FullStack Labs

Sourced by ZipRecruiter

FullStack Labs is the fastest-growing software consultancy in the Americas. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions. As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Sacramento, CA, US

Year founded

2013

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