Staff Data Engineer - AI Platform

New
J
JobgetherGovernment Cloud
Based in the United StatesFull-TimeStaff
Salary not disclosed
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Job Details

Required Skills
ClickhouseDistributed Systems

Requirements

  • U.S. citizenship (required for government cloud data access).
  • Extensive experience designing, operating, and scaling distributed OLAP, analytical databases, or serving-layer systems.
  • Deep expertise in query optimization, database performance, distributed systems, and large-scale data infrastructure.
  • Proven track record in owning data pipeline reliability, production operations, and incident response.
  • Demonstrated ability to own complex infrastructure end-to-end from architecture to production.
  • Experience independently troubleshooting complex, unfamiliar systems in high-pressure environments.
  • Advanced practical fluency with AI-assisted engineering tools such as Claude or Cursor.
  • Strong architectural judgment with the ability to evaluate trade-offs in high-stakes environments.
  • Excellent communication skills for influencing cross-functional technical direction.
  • Demonstrated leadership capabilities through mentorship and improving engineering standards.

Responsibilities

  • Lead data infrastructure strategy for distributed serving layers to ensure scalability and reliability.
  • Drive database performance optimization using query profiling and AI-assisted tools.
  • Build and harden reliable data pipelines supporting government cloud investigations.
  • Strengthen infrastructure resilience by reducing single points of failure and improving redundancy.
  • Lead production troubleshooting using log analysis and AI-assisted research for rapid fixes.
  • Drive operational excellence through on-call rotations, incident management, and retrospectives.
  • Deliver complex infrastructure projects from architectural design to deployment and ownership.
  • Support government regulatory compliance for data retention, auditing, and security.
  • Champion AI-enabled engineering workflows to accelerate development and quality.
  • Influence technical direction and mentor engineering teams to raise craftsmanship standards.
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