Data Engineer

Data Engineer 🚀 JOIN THE FUTURE OF COMMERCE WITH WHATNOT! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values https://www.whatnot.com/careers. With hubs in the US, UK, Germany, Ireland, Poland, and Australia, we’re building the future of online marketplaces –together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces https://a16z.com/marketplace-100/, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news https://blog.teamwhatnot.com/ and engineering https://medium.com/whatnot-engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce. 💻 ROLE Data is crucial to Whatnot’s mission to bring people together through commerce. As our newest Data Engineer, you’ll build and scale the systems that power data-driven decisions across the company. You’ll work directly with stakeholders across the business – such as product, sales, marketing, finance, and trust teams – to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot’s internal and external growth. On any given day, you will: - Own data architecture end-to-end. Define how we capture, model, and serve critical business data—then implement it in production. You’ll make architectural decisions around storage formats, compute patterns, and SLAs that balance cost, scalability, and consistency. - Build mission-critical pipelines. Develop and operate streaming and batch data workflows that process high-volume events across multiple domains—user activity, transactions, experimentation, marketing performance, and operational telemetry—with tight guarantees for latency, completeness, and accuracy. - Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics, ML, and real-time applications. Establish and enforce modeling standards, ownership boundaries, and data contracts across teams. - Enforce data quality at scale. Build tests, lineage, monitoring, and reconciliation systems that make every dataset observable and every anomaly actionable. - Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems. - Enable insights and experimentation. Support analytics, ML, and product engineering teams by exposing high-quality, low-latency data through semantic layers, APIs, and real-time query systems. Due to the cross-functional nature of this role, candidates will be matched to multiple teams based on need and experience, including product, analytics, or data platforms teams. 👋 You We’ve learned that low ego, a growth mindset, and a bias toward action create outsized impact at Whatnot. You’ll thrive here if you: - 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 optimizati ... (truncated, view full listing at source)