Data Engineer: Analytics

You will own analytics infrastructure, including ETL pipelines, Snowflake, dbt models, orchestration, and reliability. You will design analytics evaluations, maintain KPI definitions and documentation, support customer-facing analytics features, and develop deep product and business understanding.

Responsibilities

• Own ETL pipelines, Snowflake, dbt models, orchestration, and reliability
• Design and run evaluation and testing for analytics surfaces
• Own KPI definitions, pipelines, and documentation
• Develop deep product understanding
• Partner on customer-facing analytics features
• Own an analytics domain

Requirements

• 5+ years of data or analytics engineering experience
• Production data-system ownership
• SQL proficiency
• Cloud data warehouse experience
• Snowflake proficiency
• dbt experience
• Python proficiency
• ETL and orchestration experience
• Knowledge of partitioning, incremental models, and storage tiering
• Fluency with AI products and agentic tools

Benefits

• Equity
• Medical coverage
• Dental coverage
• Vision coverage
• Paid time off