Data Engineer, AI Platform
RemoteUnited States
Job Summary
Own performance tuning on the StarRocks serving layer using AI-assisted query profiling to fix slow patterns before customer-facing incidents. Build and harden data pipelines feeding government cloud investigations with AI code review workflows to ship reliable changes in a high-compliance environment. Reduce single-point-offailure risk by becoming the second engineer capable of independently operating and troubleshooting the serving layer to cut incident response times. Use AI-assisted debugging and log analysis to triage production issues in a regulated environment, turning multi-hour investigations into rapid root-cause fixes. U.S. citizenship required for government cloud access; U.S. based.
Required Qualifications
- U.S. citizenship
- Hands-on experience operating distributed OLAP or serving-layer systems (StarRocks, Trino, ClickHouse, or similar)
- Experience owning data pipeline reliability and incident response
- Comfort using AI tools (Claude, Cursor, or similar) to accelerate debugging, code review, and documentation
- Independent ownership mindset
- Ability to pick up an unfamiliar piece of production infrastructure
- Ability to use AI-assisted research and code exploration to ramp quickly
- Ability to take on-call responsibility with minimal oversight
- Ability to use AI to accelerate and reimagine craft
- Ability to apply AI to accelerate repeatable workflows
- Ability to structure and solve problems using AI
- Ability to improve output quality using AI
- Ability to increase speed and leverage using AI
- Ability to operate with a high degree of ambiguity
- High level of personal ownership and accountability
- Creative problem solving and out-of-the-box thinking
- Comfort navigating ambiguity
- Ability to adjust course as new information emerges
- Ability to maintain focus and positivity in a fast-moving and intense environment
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