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