Staff Data Engineer

📋 Description

• Own AI system reliability: evals, observability for LLM pipelines, validation outputs.
• Architect end-to-end data foundation on Databricks (Delta Lake, Unity Catalog, Spark).
• Lead data modeling and transformation with dimensional models and semantic layers.
• Hands-on analytics: SQL, dashboards, analyses with PMs and product leaders.
• Set the bar for lab data work: design reviews, observability, cost, security; mentor engineers.
• Move concepts from prototype to production; scale with central Data/Platform teams.

🎯 Requirements

• 12+ years building production data systems as senior IC or tech lead.
• Production-grade AI systems: trace-based evals, LLM observability, structured outputs.
• Databricks expert: Spark (PySpark/Scala), Delta Lake, Unity Catalog, Databricks SQL.
• Strong SQL and dimensional modeling; shipped warehouse layers and semantic models.
• Production-grade Python; pipelines with Airflow, Dagster, dbt on AWS/GCP.
• Substantive analytics: turn questions into data-backed answers.
• Experience in early-stage, ambiguous environments; prototype vs long-term build.

🎁 Benefits

• Flexible time off policies to take the time you need.
• Comprehensive medical, dental, and vision coverage.
• Health Savings Account (HSA) program and care FSA.
• 401(k) with employer matching.
• Employer-paid commuter benefit.
• Support for new parents and pet-friendly offices where applicable.