Data Engineer

life insurance, parental leave, paid time off, paid holidays, 401(k)

United States, Minnesota, Eden Prairie

Jan 13, 2026

Leading with our core values of Quality, Integrity, and Opportunity, Med Insight is one of the healthcare industry's most trusted solutions for healthcare intelligence. Our company purpose is to empower easy, data-driven decision-making on important healthcare questions. Through our products, education, and services, Med Insight is making an impact on healthcare by helping to drive better outcomes for patients while reducing waste.

Over 300 leading healthcare organizations have come to rely on Med Insight analytic solutions for healthcare cost and care management. Med Insight has been ranked #1 for Payer Quality Analytics by clients for the last three years in the Best in KLAS report.

Med Insight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions.

We're looking for a Data Engineer I to join our healthcare analytics platform team. In this role, you'll help build and support scalable data pipelines that power data-driven healthcare decisions for millions of members. You'll work closely with experienced engineers in a collaborative, learning-oriented environment where curiosity and growth are encouraged.

• Develop and maintain data pipelines using Spark SQL within a modern lakehouse architecture.
• Support ETL/ELT processes for healthcare claims data (medical, pharmacy, eligibility).
• Write clear, well-documented code and participate in peer code reviews.

• Partner with senior engineers to learn data architecture and design patterns.
• Work with analysts and stakeholders to translate data needs into technical solutions.
• Contribute to technical documentation and team knowledge sharing.
• Participate in agile practices such as sprint planning, stand‑ups, and retrospectives.

• Monitor pipeline performance and help troubleshoot data issues.
• Assist with production support alongside senior team members.
• Learn and apply quality, risk, and data validation standards.

• B ഭാഗ Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field - or equivalent practical experience.
0‑2 years of relevant experience in data engineering, software engineering, or a related technical role.
• Working knowledge of SQL and relational databases.
• Experience with Python or similar programming languages.
• Familiarity with version control tools such as Git.

• Strong problem-solving and analytical skills.
• Care and attention to detail, especially with data accuracy.
• Clear communication skills and a collaborative mindset.
• Motivation to learn, grow, and build technical expertise.

• Exposure to Apache Spark or Spark SQL.
• Experience with cloud platforms (Azure, AWS, or GCP).
• Familiarity withako data warehousing or lakehouse concepts.
• Experience working with healthcare data or other regulated industries.
• Exposure to CI/CD pipelines, automated testing, or Databricksesity.
• Interest in AI-assisted development tools and modern engineering practices.

• Languages: Python, SQL, Spark SQL
• Data Platforms: Azure Databricks, Delta Lake
• Cloud & Dev Ops: Azure, Azure Dev Ops, Git, CI/CD pipelines
• Data Domains: Healthcare claims smear, risk adjustment, population ചിക

This role can be located remotely within the United States. The expected Final date to receive applications for this job is February 28, 2026.

• The overall salary range for this role is $71,700 - $131,905.
• For candidates residing in the following states:
  Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia, the salary range is $82,455 - $131,905.
• All other locations: salary range is $71,700 - $114,700.