AWS Data Engineer

ABOUT THE ROLE This is a fully hands-on, individual contributor Data Engineering role embedded within a large-scale healthcare data platform initiative. You'll be responsible for building and maintaining AWS-based data pipelines that ingest mainframe source data, process and validate it, and deliver clean, consumer-ready datasets — work that directly supports critical downstream analytics and operations. WHAT YOU'LL DO - Stream and process mainframe source data into AWS S3, handling ingestion, reconciliation, and validation workflows. - Design and implement ETL/ELT pipelines using AWS Glue to curate and transform raw data into reliable, queryable datasets. - Provision clean, consumer-ready data through AWS Aurora/RDS PostgreSQL relational databases. - Manage S3 storage including data retention policies, archival strategies, and lifecycle management. - Automate deployments and orchestrate workflows using GitHub Actions and CI/CD pipelines. - Leverage AI tools to improve engineering productivity and automate data workflow processes. - Take ownership of deliverables and drive work to completion with minimal oversight. WHAT WE'RE LOOKING FOR - 5+ years of professional Data Engineering ... Click Apply to read the full job description.