Data Engineer

We're looking for a Data Engineer to join a high-performing, collaborative engineering team focused on building and optimizing the infrastructure that powers our healthcare data platform. In this role, you’ll take ownership of end-to-end data pipelines and play a key part in delivering enterprise-level data solutions that drive real-world impact.

This is a fast-paced environment where your work will directly influence the performance, scalability, and reliability of our data systems—particularly in ingesting and transforming large-scale healthcare datasets. Key Responsibilities

• Design, develop, and maintain scalable ETL pipelines using Python , SQL , and Snowflake
• Build automated, testable, and maintainable data workflows to support core analytics and reporting functions
• Leverage AWS services (e.g., S3, Step Functions, Batch, DynamoDB) to deploy and scale data applications
• Integrate data validation and unit testing into the development process
• Collaborate closely with data scientists, analysts, and engineers to deliver high-quality datasets and APIs

Work with large healthcare data sources (including claims data) to build efficient and reliable data ingestion processes

What We’re Looking For

Ability to commit to 40 hours per week for a minimum of 6 months