Key skills
SQLPythonRelational DatabasesData PipelinesData Engineering Best PracticesDatabricksApache SparkPowerBI Semantic ModelsAzureAWSHealthcare Data DomainsOwnership MindsetAIClaudeData EngineeringAnalyticsSpark
About this role
Milliman is a global consultancy that provides a range of solutions including healthcare analytics through its subsidiary, MedInsight. They are seeking an Entry Level Data Engineer to help ingest, transform, and integrate complex healthcare data while expanding their expertise in modern data technologies.
Responsibilities:
- Design and maintain scalable data pipelines to ingest and enrich healthcare data using Databricks and Spark
- Improve data intake processes and optimize SparkSQL/Python workloads for performance, scalability, and cost efficiency
- Partner with senior engineers to develop data marts and semantic models that power analytics products and reporting
- Monitor pipeline health, troubleshoot failures, and implement data validation and quality controls
- 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