Data Engineering Manager

We are seeking a Data Engineering Manager to join a high-impact Customer Insights product engagement for a global QSR client. The ideal candidate brings deep expertise in Databricks, Spark (PySpark), SQL, and large-scale identity resolution pipelines, and thrives in complex, production-ready data environments.

Requirements

• 5+ years of experience in Data Engineering building production-grade data pipelines at scale.
• Strong hands-on experience with Databricks and Apache Spark (PySpark preferred).
• Advanced SQL skills (complex joins, CTEs, window functions, performance tuning).
• Experience developing identity resolution or entity matching pipelines (deterministic and/or probabilistic).
• Experience designing and implementing data marts or dimensional models (Kimball or similar).
• Familiarity with data quality frameworks (schema drift detection, validation, anomaly monitoring).
• Experience implementing CI/CD for data pipelines and managing multi-environment deployments.
• Strong communication skills and ability to present technical concepts to non-technical stakeholders.
• Experience using Jira for ticket tracking and Confluence for documentation.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance