Senior Data Engineer - AWS Glue & Redshift (Healthcare/PBM)

100% Remote

Lucrative Contract-To-Hire

If you’ve built real, production-grade AWS Glue pipelines — not just experimented with them — this is the kind of role that lets you own it properly.

We’re partnering with a growing Healthcare / PBM (Pharmacy Benefit Management) organization investing heavily in its AWS data platform. Glue is the backbone. This isn’t maintenance work — it’s platform-level engineering handling large-scale pharmacy and claims data in a secure, HIPAA-aware environment.

What You’ll Be Doing:

• Architect and optimize AWS Glue ETL pipelines (Jobs, Crawlers, Workflows, Data Catalog)
• Build and maintain scalable S3 data lake structures
• Design and tune Redshift warehouse environments

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• Implement efficient partitioning and performance optimization strategies
• Handle large-scale pharmacy and claims datasets
• Drive data quality, governance, and reliability standards
• Partner with analytics, clinical, and product stakeholders to deliver trusted data assets
• Influence architecture decisions and long-term platform direction

Core Tech Stack:

• AWS Glue (Jobs, Crawlers, Workflows, DynamicFrames)
• PySpark / Spark
• Amazon S3

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• Amazon Redshift
• Python & SQL
• Infrastructure-as-Code exposure (CDK or Terraform a strong plus)

What We’re Looking For:

• 5+ years in Data Engineering
• Proven experience building production-level Glue pipelines
• Strong Spark/PySpark capability
• Experience working with large, regulated datasets
• Background in Healthcare, PBM, payer, or insurance data environments preferred
• Comfortable owning architecture — not just executing tickets