Senior Data Engineer: AWS Glue Platform Lead (Healthcare)

Enzo Tech Group; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

A growing healthcare data firm in the United States is seeking an experienced Data Engineer with a strong background in AWS Glue and Spark/PySpark. The role involves architecting and optimizing ETL pipelines, maintaining S3 data lake structures, and ensuring data governance standards. Candidates should have over 5 years of experience in data engineering and familiarity with healthcare data environments. This is an opportunity to lead platform-level engineering work in a secure environment.

Qualifications

• 5+ years of experience in Data Engineering required.
• Strong capability with Spark/PySpark necessary.
• Experience with regulated datasets and Healthcare environments preferred.

Responsibilities

• Architect and optimize AWS Glue ETL pipelines.
• Build and maintain scalable S3 data lake structures.
• Design and tune Redshift warehouse environments.
• Drive data quality, governance, and reliability standards.

Skills

AWS Glue ETL pipelines

Data Engineering

Spark/PySpark

Data Governance

Tools

Amazon S3

Amazon Redshift

Python

SQL

Terraform

Job description

A growing healthcare data firm in the United States is seeking an experienced Data Engineer with a strong background in AWS Glue and Spark/PySpark. The role involves architecting and optimizing ETL pipelines, maintaining S3 data lake structures, and ensuring data governance standards. Candidates should have over 5 years of experience in data engineering and familiarity with healthcare data environments. This is an opportunity to lead platform-level engineering work in a secure environment.