Sr. Data Engineer

📋 Description

• Design and ship production pipelines on Databricks lakehouse.
• Harden curated and presentation layers for ROI-driven views.
• Resolve identity across CRM, Fundraising, and Volunteer to a golden record.
• Move toward near-real-time data using Debezium on Kafka.
• Make data observable with tracing and AI tooling in ETL.
• Partner with AI/product teams to prepare data for Penny and AI agents.

🎯 Requirements

• 5+ years building production data pipelines on a lakehouse/warehouse.
• Databricks with Unity Catalog preferred; Snowflake/BigQuery acceptable.
• Identity resolution and golden-record work across systems.
• Strong SQL and Python; PySpark; Scala optional.
• Data modeling fluency with Data Vault 2.0 patterns.
• Streaming/CDC and production-grade pipeline experience.

🎁 Benefits

• Health + Wellness benefits including vision and dental.
• Generous Time Off: PTO, flex days, holidays, and volunteer days.
• 401k with company match.
• Equipment shipped to you and home office setup.