Senior Staff Data Engineer

📋 Description

• Architect and build core data systems and pipelines.
• Define architecture and patterns for faster, cleaner integrations.
• Improve data quality and pipeline reliability.
• Champion AI-forward engineering with AI tools.
• Raise technical bar: review code, mentor across team.
• Collaborate with Product/ML/Solutions/customer teams to align with needs.

🎯 Requirements

• 8+ years building data engineering systems; staff/principal level.
• Python, PySpark, SQL, dbt, Airflow, Databricks/Snowflake.
• Experience shipping data integrations/ETL at scale.
• Ability to own end-to-end, ambiguous problems and set direction.
• Interest in AI-augmented engineering; used AI coding tools.
• Comfort with messy real-world data; pragmatic shipping.

🎁 Benefits

• Comprehensive medical, dental, and vision coverage.
• Competitive salary, equity, and 401(k) with generous match.
• Home office stipend and coworking wallets for flexible workspace.
• Annual professional development budget.
• Monthly stipends for wellbeing and telecommunications.
• Flexible paid time off to recharge.