AWS Data Engineer

Job description

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.