Job Information
Milliman, Inc Data Engineer I in Seattle, Washington
Description Company Overview: Leading with our core values of Quality, Integrity, and Opportunity, MedInsight 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, MedInsight 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 MedInsight analytic solutions for healthcare cost and care management. MedInsight has been ranked #1 for Payer Quality Analytics by clients for the last three years in the Best in KLAS report. MedInsight 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. Position Summary: 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. Primary Responsibilities: Build & Maintain Data Pipelines 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 Collaborate & Learn 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, standups, and retrospectives Support Quality & Reliability 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 Required Qualifications Technical Foundation 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 Ways of Working 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 Nice to Have (Not Required) Exposure to Apache Spark or Spark SQL Experience with cloud platforms (Azure, AWS, or GCP) Familiarity with data warehousing or lakehouse concepts Experience working with healthcare data or other regulated industries Exposure to CI/CD pipelines, automated testing, or Databricks Interest in AI-assisted development tools and modern engineering practices Technical Environment Languages: Python, SQL, Spark SQL Data Platforms: Azure Databricks, Delta Lake Cloud & DevOps: Azure, Azure DevOps, Git, CI/CD pipelines Data Domains: Healthcare claims, risk adjustment, population health Location This role can be located remotely within the United States. The expected application deadline for this job is February 28, 2026. Compensation The overall salary range