Data Engineer (Starlink Growth)

SpaceX

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Work type
On-site
Location
Bastrop, TX
Posted
today

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Similar $152k
$119k most similar roles pay here $184k

This listing doesn't post a salary. Most similar roles pay $126,800–$177,900.

Based on 237 similar postings.

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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 604 open roles on FindRole.

Listed pay typically runs $130,000–$155,000 across 440 roles with salary data.

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At a glance

TL;DR · Data Engineer (Starlink Growth)

As a Data Engineer in the Starlink Growth Analytics & Automation Team, you will develop strategic tools and models to assess business health and customer growth for Starlink, the world’s largest satellite internet constellation serving millions of users globally. Your daily tasks include building high-impact dashboards with Python and SQL, transforming data insights into actionable items for technical teams, and implementing monitoring systems to detect trends and regressions in real-time. You will collaborate closely with software engineers to enhance user experience and develop predictive models for customer acquisition using advanced statistical techniques and machine learning algorithms. Essential skills include proficiency in Python, SQL, and geospatial data visualization, along with a background in statistics or computational physics.

What you'll do

  • Build high-visibility, statistically-based dashboards to uncover trends in customer growth.
  • Transform data insights into actionable items for business and engineering teams.
  • Develop monitoring systems to detect trends and regressions promptly.
  • Optimize user experience by working closely with software and production teams.
  • Forecast customer acquisition through validated models and statistical analysis.

What we're looking for

  • Bachelor’s degree in a STEM field
  • 1+ years of professional experience with Python and SQL
  • Experience building predictive models and machine learning pipelines
  • Demonstrated ability to work in ill-defined problem spaces
  • Strong data visualization skills, including geospatial data representations
  • Background in statistics or computational physics
  • Self-starter attitude and effective communication across disciplines

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