AWS Glue Data Engineer-3
realignPhoenix (AZ)
About the role
Hands-on AWS Glue expertise, including PySpark/Spark ETL development, Crawlers, and Data CatalogSnowflake experience, including SQL, connectors, and basic administrationData governance experience using AWS Lake FormationEligibility to work on ITAR/export-controlled GovCloud engagements; US citizenship is requiredAbility to work on-site in Phoenix, Arizona during the buildout weekPreferred: Kiro or another agentic IDE for SQL-to-PySpark code conversionPreferred: Hub-and-Spoke VPC architecture and inspection firewalls, preferably Check PointDesign, build, test, and optimize scalable ETL pipelines using AWS Glue and PySpark/SparkConfigure and maintain AWS Glue Crawlers, Data Catalog objects, jobs, workflows, and connectionsIntegrate AWS Glue workloads with Snowflake using SQL and supported connectorsImplement data access, governance, and security controls with AWS Lake FormationCollaborate directly with the cloud engineering team to deliver a proof of concept in a GovCloud environmentConvert existing SQL logic into maintainable PySpark code and validate data quality and performanceDocument architecture, configuration, deployment steps, test results, risks, and operational handoverParticipate in the on-site Phoenix buildout week and support troubleshooting through POC completionGeneric Managerial Skills, If anyStrong written and verbal communicationAbility to work directly with technical stakeholders in a fast-paced POC environmentOwnership of deliverables, risks, dependencies, and timely status reportingRequired Skills
Job Type: Full Time
Job Category: IT
Job Description
Job Title: AWS Glue Data EngineerLocation:
Phoenix, AZFull TimeJob DescriptionMust Have Technical/Functional SkillsHands-on AWS Glue expertise, including PySpark/Spark ETL development, Crawlers, and Data CatalogSnowflake experience, including SQL, connectors, and basic administrationData governance experience using AWS Lake FormationEligibility to work on ITAR/export-controlled GovCloud engagements; US citizenship is requiredAbility to work on-site in Phoenix, Arizona during the buildout weekPreferred: Snowflake Catalog Federation and/or Iceberg REST Catalog experiencePreferred: Kiro or another agentic IDE for SQL-to-PySpark code conversionPreferred: Hub-and-Spoke VPC architecture and inspection firewalls, preferably Check PointRoles & ResponsibilitiesDesign, build, test, and optimize scalable ETL pipelines using AWS Glue and PySpark/SparkConfigure and maintain AWS Glue Crawlers, Data Catalog objects, jobs, workflows, and connectionsIntegrate AWS Glue workloads with Snowflake using SQL and supported connectorsImplement data access, governance, and security controls with AWS Lake FormationCollaborate directly with the cloud engineering team to deliver a proof of concept in a GovCloud environmentConvert existing SQL logic into maintainable PySpark code and validate data quality and performanceDocument architecture, configuration, deployment steps, test results, risks, and operational handoverParticipate in the on-site Phoenix buildout week and support troubleshooting through POC completionGeneric Managerial Skills, If anyStrong written and verbal communicationAbility to work directly with technical stakeholders in a fast-paced POC environmentOwnership of deliverables, risks, dependencies, and timely status reportingRequired Skills
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