Data Engineer at whatnot

This role is ideal for a mid-to-senior level Data Engineer with at least 3 years of experience who bridges the gap between software engineering and data architecture. You should have a strong command of modern data stacks, specifically moving beyond simple ETL to building resilient, event-driven systems and canonical data models that serve as a company’s "source of truth." The compensation is highly competitive, starting at $180,000 plus equity and a 4% 401k match. While the role is "on-site" in major tech hubs (SF, NY, LA, or Seattle), what sets this apart is the significant investment in employee well-being: you’ll receive allowances for home office setup, wellness, childcare, and even "dogfooding" the app to buy collectibles. **You might be a good fit if you...** * Have hands-on mastery of Python, SQL, and modern tools like dbt, Snowflake, and Kafka. * Are comfortable owning the entire lifecycle of a pipeline, from architectural design to CI/CD and production monitoring. * Enjoy cross-functional work, translating "messy" requirements from product and finance teams into elegant data systems. * Thrive in a high-growth, fast-paced marketplace environment with a strong bias toward action.