TRM Labs - Data Engineer

• U.S. citizenship is required for this role due to government cloud data access requirements. • Hands-on experience operating distributed OLAP or serving-layer systems (StarRocks, Trino, ClickHouse, or similar), including query tuning and performance optimization at scale. • Experience owning data pipeline reliability and incident response, and comfort using AI tools (Claude, Cursor, or similar) to accelerate debugging, code review, and documentation. • Independent ownership mindset: you can pick up an unfamiliar piece of production infrastructure, use AI-assisted research and code exploration to ramp quickly, and take on-call responsibility with minimal oversight. • The Data Platform Serving team owns the layer that turns TRM's data into fast, reliable answers for the teams and systems built on top of it. • We're distributed, not distant: the team communicates constantly across Slack and async docs, with a bias toward direct, evidence-based technical discussion. • Decisions are made close to the data: engineers who operate the systems make the calls on architecture and tradeoffs, with input from the broader Data Platform org. • We work closely with Forward Deployed Engineering and Product teams to keep the government cloud environment at parity with our commercial platform. • Team Operating Rhythms: • Weekly team sync to review open incidents, in-flight infrastructure work, and upcoming compliance milestones. • Async daily updates in Slack on pipeline health, ongoing tickets, and blockers. • Sprint-based planning cycles with clear ownership assigned per workstream. • Retro after any production incident to capture learnings and adjust runbooks.