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.