Data Engineer — Enterprise AI & Data Quality Automation

SPACE EXPLORATION TECHNOLOGIES CORP; Bastrop (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

SpaceX is seeking a Data Engineer on the Starlink Enterprise team to improve data quality and build integrations that turn cleaner data into better decisions and faster execution across go‑to‑market workflows.

You will partner with Enterprise sales, channel and reseller ops, sales ops, and enablement to fix messy inputs, automate cleanup, and ship automations that streamline revenue processes while designing AI agents and MCP interfaces that securely access the right data and tools.

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.).

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

Skills

Data engineering

Python

SQL

Education

Bachelor’s degree in computer science, data science, physics, mathematics, or another STEM discipline

Job description

SpaceX is seeking a Data Engineer on the Starlink Enterprise team to improve data quality and build integrations that turn cleaner data into better decisions and faster execution across go‑to‑market workflows.

You will partner with Enterprise sales, channel and reseller ops, sales ops, and enablement to fix messy inputs, automate cleanup, and ship automations that streamline revenue processes while designing AI agents and MCP interfaces that securely access the right data and tools.