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 be highly proficient in building event-driven systems and scalable pipelines using modern stacks like Kafka, Spark, and Snowflake. Since this is an "end-to-end" ownership role, it’s perfect for someone who enjoys designing schema just as much as writing production-grade Python. The compensation is highly competitive, ranging from **$180,000 to $260,000** plus equity and a 4% 401k match. While the company operates with a "remote co-located" philosophy, you must live within commuting distance of their hubs in **SF, NYC, LA, or Seattle**. Standout perks include a "dogfooding" budget to buy/sell on the app, comprehensive family planning benefits, and a generous home office allowance. **You might be a good fit if you:** * Have hands-on experience with **dbt, Dagster/Airflow, and Snowflake** in a high-growth environment. * Can translate complex business requirements (marketing, finance, product) into elegant, canonical data models. * Are comfortable "wearing many hats," from optimizing SQL workloads to setting up CI/CD workflows and data observability. * Value a culture of high ownership and low ego in an office-hybrid setup.