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$126,800–$190,000.
Based on 237 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
604 open roles
on FindRole.
Listed pay typically runs
$130,000–$155,000
across 440 roles with salary data.
As a Senior Data Engineer in the Starlink Growth Analytics & Automation Team, you will develop strategic tools and models to assess business health and customer growth across all business units. Your daily tasks include building high-visibility dashboards, transforming data insights into actionable items for technical teams, and developing monitoring systems to detect trends and regressions. You will work closely with software and production teams to optimize user experience and forecast customer acquisition using advanced statistical modeling and machine learning techniques. The role requires expertise in Python, SQL, and geospatial data visualization, along with a background in statistics or computational physics, making it ideal for someone passionate about leveraging cutting-edge technologies to drive global internet expansion.
Build high-confidence dashboards and analytics tools to uncover trends in customer growth.
Transform data insights into actionable items for business and engineering teams.
Develop monitoring systems to quickly detect trends and regressions in real-time.
Optimize user experience by working closely with software and production teams.
Forecast customer acquisition through validated statistical models.
What we're looking for
5+ years of professional experience building solutions with Python and SQL.
8+ years of professional experience in analytics, data science, or machine learning.
Experience building predictive models and machine learning pipelines including clustering analysis, anomaly detection, survival analysis, time series models.
Bachelor’s degree in computer science, physics, mathematics, statistics, or a STEM discipline.
Demonstrated ability to parse technical subjects on a deep level and communicate effectively across business and technical disciplines.