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SpaceX

Data Engineer (Starlink)

Hawthorne, CAmidAdded today

About this role

SpaceX seeks a Data Engineer to build and maintain data infrastructure for Starlink's Enterprise go-to-market operations. You'll improve data quality across sales systems, develop AI agent integrations using Model Context Protocol, and automate workflows connecting CRM, channel, and revenue platforms.

What you'll do

  • Improve data hygiene and quality in go-to-market systems through validation, deduplication, enrichment, and remediation
  • Build integrations between internal tools and external platforms to reduce manual data re-entry and prevent quality issues
  • Develop MCP servers and AI agent interfaces that connect assistants like Grok to sales and operational systems
  • Design and ship AI agents that accelerate lead-to-revenue cycles and sales workflows
  • Implement monitoring and feedback loops to track data quality and agent performance regressions
  • Partner with sales ops, channel ops, and enablement to automate recurring data problems and manual processes

What they're looking for

  • Python or modern programming language
  • SQL and data querying
  • API design and system integrations
  • CRM platforms (HubSpot, Salesforce, or similar)
  • AI agents and LLM-powered applications
  • Model Context Protocol (MCP)
  • Data validation and ETL pipelines
  • Sales operations and go-to-market systems
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SpaceX

SpaceX develops advanced spacecraft and satellite systems, including the Starshield government satellite constellation and Starfall re-entry cargo capsule for global delivery. The company is hiring engineers in avionics integration, software test automation, mechanical design, and hardware reliability to validate flight-critical systems and ensure mission success.

Website
spacex.com
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Likely interview questions

  • Tell us about a time you significantly improved data quality in a CRM or operational system — what was the problem, and how did you measure success?
  • Have you built integrations between multiple business systems? Walk us through your approach to keeping data consistent across platforms.
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