Note: The job is a remote job and is open to candidates in USA. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. The Data Engineer will join the Data Platform Serving team to enhance the performance and reliability of the StarRocks-backed serving layer, ensuring fast and compliant operations in the government cloud environment.

Responsibilities

• You will own performance tuning on the StarRocks serving layer, using AI-assisted query profiling (Claude, internal tooling) to find and fix slow query patterns before they become customer-facing incidents
• You will build and harden data pipelines feeding government cloud investigations, using AI code review workflows to ship reliable changes faster in a high-compliance environment where mistakes are costly
• You will reduce single-point-of-failure risk on GovCloud data infrastructure by becoming the second engineer who can independently operate and troubleshoot the serving layer, cutting incident response time when the primary owner is unavailable
• You will use AI-assisted debugging and log analysis to triage production issues in a regulated environment, turning multi-hour investigations into rapid root-cause fixes

Skills

• 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

Benefits

• Remote (workplace_type: Remote / work_model: REMOTE)

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