Job Title: AWS Glue Data Engineer
Location: Phoenix, AZ
Full Time
Job Description
Must Have Technical/Functional Skills
Hands-on AWS Glue expertise, including PySpark/Spark ETL development, Crawlers, and Data Catalog
Snowflake experience, including SQL, connectors, and basic administration
Data governance experience using AWS Lake Formation
Eligibility to work on ITAR/export-controlled GovCloud engagements; US citizenship is required
Ability to work on-site in Phoenix, Arizona during the buildout week
Preferred: Snowflake Catalog Federation and/or Iceberg REST Catalog experience
Preferred: Kiro or another agentic IDE for SQL-to-PySpark code conversion
Preferred: Hub-and-Spoke VPC architecture and inspection firewalls, preferably Check Point
Roles & Responsibilities
Design, build, test, and optimize scalable ETL pipelines using AWS Glue and PySpark/Spark
Configure and maintain AWS Glue Crawlers, Data Catalog objects, jobs, workflows, and connections
Integrate AWS Glue workloads with Snowflake using SQL and supported connectors
Implement data access, governance, and security controls with AWS Lake Formation
Collaborate directly with the cloud engineering team to deliver a proof of concept in a GovCloud environment
Convert existing SQL logic into maintainable PySpark code and validate data quality and performance
Document architecture, configuration, deployment steps, test results, risks, and operational handover
Participate in the on-site Phoenix buildout week and support troubleshooting through POC completion
Generic Managerial Skills, If any
Strong written and verbal communication
Ability to work directly with technical stakeholders in a fast-paced POC environment
Ownership of deliverables, risks, dependencies, and timely status reporting