Data Engineer

People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.

Have 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.

Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.

Have deep hands-on expertise with modern data tooling across ingestion (e.g., Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).

Have operated cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.

Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.

Enjoy partnering across disciplines —engineering, product, analytics—to translate messy business requirements into elegant data systems.

Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.

If designing the data backbone that powers Whatnot’s growth, insights, and product innovation excites you, we’d love to meet you. We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, Los Angeles, and San Francisco hubs. 💰Compensation

Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.