Data Engineer – Entry Level (MedInsight)

Milliman is a global consultancy providing a range of solutions in healthcare and actuarial consulting. They are seeking a curious and ambitious Data Engineer to help ingest, transform, and integrate complex healthcare data at scale, contributing to the next generation of healthcare data analytics.

Responsibilities:

• Build Pipelines: Design and maintain scalable data pipelines to ingest and enrich healthcare data using Databricks and Spark
• Optimize Data Workflows: Improve data intake processes and optimize SparkSQL/Python workloads for performance, scalability, and cost efficiency
• Design Data Models: Partner with senior engineers to develop data marts and semantic models that power analytics products and reporting
• Ensure Quality: Monitor pipeline health, troubleshoot failures, and implement data validation and quality controls
• Learn & Grow: Expand your knowledge of the full data lifecycle, cloud infrastructure (Azure/AWS), and healthcare data standards

Requirements:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field; or equivalent practical experience
• Proficiency in SQL and experience with at least one scripting/programming language (Python preferred)
• Understanding of relational databases, data pipelines, and data engineering best practices
• Strong curiosity, ownership mindset, and ability to communicate effectively within technical teams
• Experience with Databricks or Apache Spark
• Experience building PowerBI Semantic Models
• Familiarity with Azure or AWS cloud platforms
• Familiarity with AI-assisted development tools, like Claude Code
• Exposure to healthcare data domains such as claims, EMR/HER, or provider data