Data Engineer

About The Role

We're hiring a technical Data Engineer to own our full data stack – from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll design and maintain the systems that keep our data reliable, accessible, and actionable across the company. There are multiple openings across various teams: GTM, Core Product, and Finance.

In This Role You Will

• Design and manage database architecture and data models
• Build and maintain ETL/ELT pipelines and orchestration workflows
• Create and manage new data integrations across internal and external systems
• Own business reporting: datasets, dashboards, metrics, and self-serve analytics
• Ensure data quality, observability, governance, and documentation

Requirements For The Role

• 4+ years in a data engineering, data science, or full-stack data role
• Expert on SQL and Python (required)
• Experience with data modeling, warehouse architecture, and BI-oriented schema design
• Hands-on experience with ETL/ELT tools (dbt, Airflow, Dagster, etc.)
• Experience building or maintaining BI reporting (Metabase a plus)
• Experience developing scalable backend heavy applications
• Strong knowledge of statistics and experimentation
• Based in SF or NYC