Job Overview

We are looking for a hands‑on Data Engineer to support a modern Snowflake + Azure Data Factory (ADF) Enterprise Data Warehouse (EDW) ecosystem, combining data engineering fundamentals with operational excellence—monitoring pipelines, resolving incidents, developing code enhancements, and continually improving reliability and performance in a service-oriented environment.

Work Schedule

This role may require shift coverage between 12:00 AM – 12:00 AM Central Time (CT). Rotations may apply depending on team needs.

What You’ll Do

• Build, enhance, and troubleshoot Azure Data Factory (ADF) pipelines and Snowflake ELT/ETL processes.
• Monitor daily/weekly/monthly data batch cycles and respond quickly to job failures, latency, or data‑quality issues.
• Diagnose and resolve production incidents within Service‑Level Agreements (SLA) targets using SQL, Python, platform logs, documentation, and runbooks.
• Perform...