AWS Data Engineer

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.

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.

5+ years of professional Data Engineering experience delivering data pipelines, ETL/ELT workflows, or data platform solutions.