AWS Glue Data Engineer

Realign LLC; Phoenix (AZ); On-site; USD 102,000 - 138,000; Full time

Job summary

Realign LLC in Phoenix, AZ is hiring an AWS Glue Data Engineer to design, build, and optimize scalable ETL pipelines using AWS Glue and PySpark/Spark. The role focuses on governance, security with AWS Lake Formation, and collaborating with the cloud engineering team on a GovCloud proof of concept; on-site buildout week is required.

You will configure Crawlers, Data Catalog, jobs, workflows, and connections; integrate with Snowflake via SQL; convert SQL logic to maintainable PySpark code;

Qualifications

• Hands-on AWS Glue expertise, including PySpark/Spark ETL development, Crawlers, and Data Catalog.
• Snowflake experience with SQL and connectors; basic administration.
• Data governance experience with 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.

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 connectors.
• Implement data access controls, governance, and security with AWS Lake Formation.
• Collaborate with cloud engineering to deliver GovCloud proof of concept.
• Convert SQL logic into maintainable PySpark code and validate data quality and performance.
• Document architecture, deployment steps, test results, risks, and handover.
• Participate in on-site Phoenix buildout week and support troubleshooting through POC completion.
• Own deliverables, risks, dependencies, and provide timely status reporting.

Skills

AWS Glue

PySpark/Spark ETL

Crawlers

Data Catalog

SQL

Snowflake

AWS Lake Formation

Tools

Snowflake connectors

Job description

Realign LLC is hiring an AWS Glue Data Engineer in Phoenix, AZ (onsite) with a salary of USD 120,000 per year. This role centers on building scalable ETL pipelines with AWS Glue and PySpark/Spark, strengthening data governance and security with AWS Lake Formation, and collaborating closely with the cloud engineering team to deliver a GovCloud proof of concept. You will also be part of an on-site Phoenix buildout week, supporting hands‑on troubleshooting through POC completion.

What you’ll do

• 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 GovCloud proof of concept
• 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
• Own deliverables, risks, dependencies, and provide timely status reporting, using strong written and verbal communication

What you bring

• 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 with 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

Helpful experience (preferred)

• Snowflake Catalog Federation and/or Iceberg REST Catalog experience
• Experience with Kiro or another agentic IDE for SQL‑to‑PySpark code conversion
• Hub‑and‑Spoke VPC architecture and inspection firewalls, preferably Check Point

Technologies: AWS Glue, PySpark, Spark, AWS Glue Crawlers, Data Catalog, Snowflake, SQL, AWS Lake Formation, AWS Glue Data Catalog objects, AWS Glue jobs, AWS Glue workflows, AWS Glue connections, GovCloud