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Job Description
📋 Description Build and operate data pipelines across legacy and new platforms Own pipeline ops end-to-end: monitoring, incidents, data quality Design pipelines within established architecture; make sound decisions Improve documentation, observability, data quality, and standards Map data flows and dependencies; assess performance Provision and manage data infra using IaC; evolve platform 🎯 Requirements 6–8+ years of data engineering with production ownership Strong pipeline design and orchestration in production environments Advanced SQL: complex transformations, tuning against cloud data lake/warehouse Production-grade Python: code, scripting, testing, debugging Infrastructure-as-code for provisioning cloud data resources Experience with AWS data infrastructure: S3, IAM; nice to have dbt, Fivetran 🎁 Benefits Comprehensive benefits package Remote-friendly with Chicago HQ option
