AWS Data Engineer

ABOUT THE ROLE

This is a fully hands-on individual contributor role on a data engineering team within the healthcare industry. You will own the end-to-end movement and transformation of data, from ingesting mainframe source streams into AWS through to provisioning clean, consumer-ready datasets. Your work directly enables downstream analytics and operational systems at scale.

WHAT YOU'LL DO

- Stream and process mainframe source data into AWS S3 using modern data pipeline tooling.

- Design and implement ETL/ELT workflows using AWS Glue to curate and transform data.

- Perform data reconciliation, validation, and quality checks across ingested datasets.

- Provision clean, consumer-ready datasets through AWS Aurora and RDS PostgreSQL databases.

- Manage S3 storage including data retention policies, archival strategies, and lifecycle management.

- Automate and deploy workflows using GitHub Actions and CI/CD pipelines.

- Leverage AI tools to improve engineering productivity and automate data workflows.

WHAT WE'RE LOOKING FOR

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

- Hands-on production experience with AWS Glue for ETL/ELT design and implementation.

- Strong working knowledge of AWS S3, RDS, and Aurora in production environments.

- Demonstrated experience building and maintaining data streaming pipelines using Kafka.

- Experience implementing data reconciliation, data quality checks, and validation processes.

- Proficiency with GitHub repository management and GitHub Actions for CI/CD automation.

- Experience using AI tools to automate workflows and boost engineering productivity.

- Ability to own deliverables and drive work to completion with minimal oversight.

- Experience with mainframe data sources or legacy system integration is a plus.

- Familiarity with MongoDB or other NoSQL databases is a plus.

COMPENSATION & BENEFITS

This is a W2 contract engagement. The bill rate is $65/hour.

LOCATION

This role is 100% remote. Candidates based anywhere in the United States are welcome to apply.