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Data Engineer (Starlink)

SpaceX· Starlink Enterprise Sales & Account Management
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Bastrop, TXFull-timePosted 3mo ago

About the role

Data Engineer on the Starlink Enterprise team focused on improving data quality, building integrations and AI agents to enable faster, more reliable go-to-market workflows for Starlink revenue and enablement.

Responsibilities

  • Improve data hygiene and quality across go-to-market systems — identify bad, missing, duplicate, and stale records; implement validation, enrichment, and remediation so higher-quality data enters our system of record, opportunity, partner/reseller, and enablement workflows
  • Raise the quality of inputs to AI agents and analytics so outputs (recommendations, deal status, enablement answers, reporting) are more accurate, trustworthy, and actionable
  • Build integrations across internal tools and external systems so deal, customer, and partner context flows cleanly between sales, channel ops, and operational platforms — reducing manual re-entry and preventing quality issues at the source
  • Develop Model Context Protocol (MCP) servers and related interfaces that connect AI assistants (including Grok) to internal and external go-to-market systems, with an emphasis on reliable, well-scoped access to the right data and tools
  • Design, ship, and iterate AI agents that power Starlink Enterprise go-to-market workflows
  • Contribute to AI-powered applications and automations that accelerate lead-to-revenue cycles, working within the additional datasets and systems architecture owned by the team
  • Instrument data quality and agent performance with monitoring and feedback loops — catching regressions early and tying improvements to outcomes (e.g., cleaner pipeline, faster cycle times, higher adoption and trust)
  • Partner closely with sales, sales ops, channel/reseller ops, and enablement to turn recurring data-quality problems and manual processes into durable automations and standards
  • Create reusable tools, checks, and documentation that help the team maintain data quality and extend agents over time

Qualifications

  • Bachelor’s degree in computer science, data science, physics, mathematics, or another STEM discipline
  • 1+ years of professional data engineering or software engineering experience (internship experience applicable)
  • 1+ years of development experience in Python or another modern programming language (SQL, etc.)

Skills

Required:Data quality managementData integrationSQL
Nice to have:AI/LLM toolingModel Context Protocol (MCP)CRM/go-to-market tooling
Last updated Jul 15, 2026. Interested? Apply on the company site.

About SpaceX

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