AWS Glue- Data Engineer

As a Data Engineer, you will design, build, and own AWS-based data pipelines that ingest messy healthcare data and transform it into clean, reliable cloud datasets. This is a hands-on ETL engineering role focused on Python + AWS Glue, working with high-volume, mission-critical production data. Core Responsibilities: • Build ETL pipelines to move complex healthcare data between systems • Develop and optimize AWS Glue jobs for large-scale cloud transformations • Write robust Python for processing, cleaning, and structuring data • Map diverse source datasets into a clear target warehouse model • Load structured data into Postgres while ensuring quality and consistency Tech Stack: • Core: AWS Glue, Python • Secondary: Postgres, SQL • Nice-to-Have: Medicare / Medicaid data knowledge Requirements: • Mid-level or Senior Engineer (no junior profiles) • Strong, hands-on ETL / data pipeline experience • Mandatory: Python + AWS (Glue preferred) • Experience working with large-scale or healthcare datasets a plus • BI-only profiles will not be considered (this is an engineering-heavy role)