Data Engineer

SpaceX

Confirmed live yesterday Trusted

Quick summary

Work type
On-site
Location
Hawthorne, CABastrop, TX
Salary
$125,000–$150,000 / yr
Posted
110 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $161k
This role $138k
$117k $202k
below market most similar roles pay here above market

This role pays less than 61% of similar roles. Most pay $127,703–$193,750 — the blue band above. At the midpoint, this role pays about $138k versus about $161k for comparable roles.

Based on 240 similar postings.

Employer

About SpaceX

SpaceX designs, manufactures, and launches advanced rockets and spacecraft with the mission of enabling humans to become a multi-planetary species. It operates the Falcon 9, Falcon Heavy, and Starship launch vehicles, as well as the Starlink satellite internet constellation.

SpaceX currently has 851 open roles on FindRole.

Listed pay typically runs $130,000–$165,000 across 590 roles with salary data.

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View all roles at SpaceX

At a glance

TL;DR · Data Engineer

Data Engineer (Starlink) As a Data Engineer on the Starlink Enterprise team, you will improve data hygiene and quality across commercial go-to-market systems. You will build integrations and AI agents to transform messy inputs into actionable insights, reducing manual cleanup for sales, channel, and reseller operations. Your daily work involves identifying duplicate or stale records, implementing validation and enrichment, and developing Model Context Protocol servers to connect AI assistants like Grok to internal systems. You will design and iterate on AI agents that power workflows, instrumenting data quality with monitoring loops. The role requires proficiency in Python, SQL, and modern data tooling. You will solve technical problems related to data consistency across heterogeneous systems, ensuring reliable lead-to-revenue cycles and high-quality outputs for analytics and enterprise enablement.

What does a Data Engineer earn in California?

Median $187700 from 41 postings across 21 companies.

See salary data

What you'll do

  • Improve data hygiene by identifying and remediating bad, missing, or duplicate records across go-to-market systems.
  • Build integrations between internal tools and external systems to ensure clean data flow and reduce manual re-entry.
  • Develop Model Context Protocol (MCP) servers to connect AI assistants to internal and external go-to-market systems.
  • Design, ship, and iterate on AI agents that power Starlink Enterprise go-to-market workflows.
  • Contribute to AI-powered applications and automations that accelerate lead-to-revenue cycles.
  • Instrument data quality and agent performance with monitoring systems and feedback loops to catch regressions early.
  • Create reusable tools, checks, and documentation to help the team maintain data quality and extend agents.

What we're looking for

  • Bachelor’s degree in computer science, data science, physics, mathematics, or another STEM discipline.
  • 1+ years of professional data engineering or software engineering experience, including internships.
  • 1+ years of development experience in Python or another modern programming language like SQL.
  • Must be a U.S. citizen, national, lawful permanent resident, refugee, asylee, or eligible for Department of State authorization.
  • Experience improving CRM data quality, including deduping, enrichment, and validation rules (preferred).
  • Experience building AI agents, LLM-powered applications, or tool-using assistants integrated with business systems (preferred).
  • Experience designing APIs, webhooks, or integration layers for heterogeneous systems (preferred).
  • Experience with SQL, modern data tooling, and LLM developer tools like Grok (preferred).

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