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

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• Stream and process mainframe source data into AWS S3 using modern data pipeline tooling.
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• Design and implement ETL/ELT workflows using AWS Glue to curate and transform data.
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• Perform data reconciliation, validation, and quality checks across ingested datasets.
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• Provision clean, consumer-ready datasets through AWS Aurora and RDS PostgreSQL databases.
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• Manage S3 storage including data retention policies, archival strategies, and lifecycle management.
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• Automate and deploy workflows using GitHub Actions and CI/CD pipelines.
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• Leverage AI tools to improve engineering productivity and automate data workflows.

What We're Looking For

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• 5 or more years of professional Data Engineering experience delivering data pipelines, ETL/ELT workflows, or data platform solutions.
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• Hands-on production experience with AWS Glue for ETL/ELT design and implementation.
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• Strong working knowledge of AWS S3, RDS, and Aurora in production environments.
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• Demonstrated experience building and maintaining data streaming pipelines using Kafka.
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• Experience implementing data reconciliation, data quality checks, and validation processes.
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• Proficiency with GitHub repository management and GitHub Actions for CI/CD automation.
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• Experience using AI tools to automate workflows and boost engineering productivity.
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• Ability to own deliverables and drive work to completion with minimal oversight.
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• Experience with mainframe data sources or legacy system integration is a plus.
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• 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.