Senior Data Engineer

7+ years of experience as a Data Engineer or similar role building and scaling data systems Comfortable as the first dedicated data hire. Setting technical direction while executing hands-on. Deep expertise with SQL, Python, and modern data warehouses (Snowflake, BigQuery, Redshift, or Postgres) Experience with ETL/ELT frameworks (dbt, Airflow, Dagster, or similar) Strong background in data modeling for both analytics and financial systems Proven track record of ensuring data accuracy, reliability, and trust in high-stakes environments Excellent communicator and collaborator. Able to work and coordinate closely with Finance, Product, and Engineering

Own the design and evolution of our data stack: pipelines, warehouse, and modeling layer Build reliable ETL/ELT pipelines for product, billing, and financial data Define and enforce data quality, governance, and observability practices Design, ship and optimize Metric APIs for developers using Polar and within their dashboards Work with Finance to ensure accurate revenue, payouts, and accounting data flows Partner with Growth and Product to provide analytics that drive activation, retention, and revenue Build internal data APIs, dashboards, and tools to make data self-serve across the company Establish standards and mentor engineers on best practices for instrumentation and data usage