Data Engineer / Lead Data Engineer

📋 Description Build and operate federated data platform on Azure Databricks and Microsoft Fabric Develop pipelines moving data from Workday and legacy sources to Bronze/Silver/Gold lakehouse Build and maintain production pipelines within established patterns for reliability Lead-level: set standards, own complex integrations, mentor engineers, review code Indicate in your application whether you are applying as Data Engineer or Lead Data Engineer 🎯 Requirements Data Engineer: 3–6 years building production data pipelines Lead: 7–10 years with demonstrated technical leadership Bachelor's degree or equivalent practical experience Spark, Python, and SQL in a Databricks environment Orchestrate workloads with Databricks Workflows, Azure Data Factory, or Fabric Data-quality checks/validation in pipelines Design and build medallion/lakehouse architectures (Bronze/Silver/Gold) 🎁 Benefits Meaningful work that helps students and educators Flexible remote/onsite work across US and Canada Competitive pay and robust benefits Professional development opportunities A culture that cares for employees and a family-like environment Opportunities to support charitable initiatives