Data Engineer

We're hiring a Data Engineer to architect and own the systems that turn raw signal from merchants, customers, and experiments into something the whole company can build on.Data is at the heart of everything we do - it powers our AI models, drives merchant-facing analytics, and informs how we make product decisions every day. This is a high-ownership role for someone who wants to shape data architecture from the ground up- not inherit someone else's roadmap. You'll be the person who makes sure our data is fast, trustworthy, and easy for every team to use.What You'll Do:Architect and build scalable data pipelines processing millions of events daily from merchant stores, product usage, experiments, and third-party integrationsOwn our data warehouse strategy end-to-end- reliability, performance, and scalability as we growDefine our event architecture and set the standards for how the company captures and models product and business dataBuild data quality practices- monitoring, validation, testing, and alerting- that the rest of the team can trustPartner directly with Product and Engineering to unlock the data behind our AI features, merchant analytics, and experimentationBuild self-service tooling so other teams can query and analyze data without depending on you as a bottleneckSet the bar for data modeling, orchestration, and documentation across the orgRequirements: 5-8+ years of experience in data engineering, with a track record of owning data infrastructure end-to-endDeep experience designing and operating pipelines and warehouse architecture at scaleHands-on expertise with Postgres and modern data warehouses (we use ClickHouse)Experience with workflow orchestration for building observable, reliable pipelines (we use Temporal)Strong TypeScript skills, with the ability to ship production-grade, well-tested codeExperience running services in containerized cloud environments (we use Kubernetes and AWS)Familiarity with in-memory data stores and caching (we use Redis)Sharp instincts for data modeling, event-driven architecture, and data qualityA pragmatic, ownership-driven mindset- you're comfortable setting direction in ambiguous territoryThe ability to translate infrastructure decisions into business impact for non-technical stakeholdersThis position is open to all candidates.