Data Engineer, Starlink: AI-Driven Data Quality & Automation

InvestedintheMission; Hawthorne (CA); On-site; USD 125,000 - 175,000; Full time

Benefits offered by this job

Medical coverage

401(k) retirement plan

Paid vacation and holidays

Parental leave

Job summary

SpaceX is seeking a Data Engineer for the Starlink Enterprise team in Hawthorne, CA. You will improve data quality across go-to-market systems and build integrations, AI agents, and MCP servers to enable reliable, data-driven decisions.

You will partner with sales, channel ops, and enablement to reduce manual cleanup, ship automations, and ensure clean data for AI-powered workflows through the revenue process. This role demands collaboration in a fast-paced, growing environment.

Qualifications

• Bachelor’s degree in a STEM field is required (CS/DS/physics/math).
• 1+ years of professional data engineering or software engineering experience (internships count).
• 1+ years of development in Python or another modern language (SQL, etc.).

Responsibilities

• Improve data hygiene and quality across go-to-market systems; validate, enrich, and remediate data.
• Increase accuracy and trustworthiness of AI outputs and analytics.
• Build integrations between internal tools and external systems to streamline data flow.
• Develop MCP servers and interfaces that connect AI assistants to systems.
• Design, ship, and iterate AI agents powering go-to-market workflows.
• Contribute to AI-powered applications and automations for lead-to-revenue cycles.
• Instrument data quality and agent performance with monitoring and feedback loops.
• Collaborate with sales, channel/reseller ops, and enablement to implement durable automations.
• Create reusable tools and documentation to maintain data quality 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 for the Starlink Enterprise team in Hawthorne, CA. You will improve data quality across go-to-market systems and build integrations, AI agents, and MCP servers to enable reliable, data-driven decisions.

You will partner with sales, channel ops, and enablement to reduce manual cleanup, ship automations, and ensure clean data for AI-powered workflows through the revenue process. This role demands collaboration in a fast-paced, growing environment.