Overview
ABOUT THE ROLE
Full 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.
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