Sr. Data Engineer (Starlink Growth)

SpaceX

Quick summary

Work type: On-site
Location: Redmond, WA
Salary: $160,000–$225,000 / yr
Posted: today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $154k

This role $192k

$113k most similar roles pay here $237k

This role pays more than 81% of similar roles. Most pay $126,800–$181,500 — the shaded band above. At the midpoint, this role pays about $192k versus about $154k for comparable roles.

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.

Most-posted roles

View all roles at SpaceX

At a glance

TL;DR · Sr. Data Engineer (Starlink Growth)

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As a Senior Data Engineer in the Starlink Growth Analytics & Automation Team, you will develop strategies and tools 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 implementing monitoring systems to detect trends and regressions. You will leverage Python, SQL, and machine learning algorithms to create predictive models and optimize user experience. The role requires expertise in statistical modeling, geospatial data visualization, and deploying analytical tools at scale within a fast-growing satellite internet company.

Skills

Python SQL Machine Learning Statistical Modeling Data Visualization Geospatial Data Relational Databases CI/CD

What you'll do

Build high-visibility, statistically-based dashboards to uncover trends in customer growth and experience.
Transform data insights into actionable items for business and engineering teams based on statistical evidence.
Develop monitoring systems to quickly detect trends and regressions across the Starlink network.
Optimize user experience by working closely with software and production teams.
Forecast customer acquisition through validated models and predictive analytics.

What we're looking for

5+ years of professional experience building solutions with Python and SQL
5+ years of professional experience in statistical modeling and machine learning algorithms
Experience building predictive models and machine learning pipelines, including clustering analysis and anomaly detection
Strong background in statistics or computational physics
Bachelor’s degree in computer science, physics, mathematics, statistics, or a STEM discipline
Demonstrated ability to work effectively in ill-defined problem spaces and drive positive outcomes

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