Staff Data Engineer – AI Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of performance optimization on the StarRocks serving layer by utilizing AI-assisted query profiling to detect and resolve slow query patterns.

• Develop and strengthen data pipelines that support government cloud investigations.

• Evolve into a second engineer capable of independently managing and troubleshooting the serving layer.

• Mitigate single points of failure and decrease incident response times for GovCloud data infrastructure.

• Apply AI-assisted debugging and log analysis to address production issues and implement root-cause solutions.

• Assess incidents, infrastructure tasks, and compliance milestones during weekly team meetings.

• Deliver asynchronous daily updates regarding pipeline health, ticket statuses, and any roadblocks.

• Engage in sprint planning and take ownership of assigned workstreams.

• Facilitate retrospectives following production incidents and update operational runbooks accordingly.

• Collaborate with Forward Deployed Engineering and Product teams to ensure consistency between government cloud and commercial platforms.

⛳️ Requirements

• U.S. citizenship is mandatory due to requirements for government cloud data access.

• Practical experience with distributed OLAP or serving-layer systems such as StarRocks, Trino, ClickHouse, or similar technologies.

• Proven experience in query tuning and performance enhancement at scale.

• Background in ensuring data pipeline reliability and managing incident responses.

• Proficiency in utilizing AI tools like Claude, Cursor, or similar for debugging, code review, and documentation tasks.

• Capability to independently take charge of unfamiliar production infrastructure.

• Skill in leveraging AI-assisted research and code exploration for quick acclimatization.

• Readiness and ability to handle on-call responsibilities with minimal supervision.

• Demonstrated fluency in applied AI; candidates will be assessed on their AI knowledge during the interview process.

🏝️ Benefits

• Competitive benefits, wellness programs, and time off, tailored by country and local employment regulations.

• Distributed-first/remote work culture.

• High ownership and impactful work at the intersection of AI, national security, and crime prevention.

• Opportunities for professional development and ongoing feedback.

• Reasonable accommodations available for applicants with disabilities.