Data Engineer (Starship)

SpaceX

Quick summary

Work type: On-site
Location: Starbase, TX
Posted: today

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Salary context

How this pay compares to similar roles

Similar $160k

$117k most similar roles pay here $201k

This listing doesn't post a salary. Most similar roles pay $126,800–$192,625.

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 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 (Starship)

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The Data Engineer role at SpaceX’s Starship Supply Chain team in Starbase, TX, involves building and maintaining data pipelines to support thousands of annual launches. This senior position requires owning the lifecycle of automations and applications from ideation to monitoring, collaborating with central software teams on ecosystem development, and developing key process indicators for all levels of supply chain management. Candidates should have strong proficiency in SQL, experience with data orchestration tools like Airflow or dbt, and knowledge of Python libraries such as Pandas and PyTorch. The ideal candidate will also be adept at data visualization using tools like Power BI or Tableau and possess a background in software engineering or data science.

Skills

SQL Python Pandas NumPy Airflow dbt Git CI/CD Power BI Grafana PostgreSQL UNIX Docker

What you'll do

Own projects from problem identification to monitoring and iteration.
Build data pipelines, ETL processes, and automate supply chain operations.
Query, clean, and transform data for all levels of the supply chain.
Develop tools and automation that inform and accelerate organizational goals.
Collaborate on software ecosystem vision with central software teams.

What we're looking for

Bachelor's degree in a relevant field or equivalent professional experience
1+ years of data engineering, software development, or related experience
Strong proficiency with SQL and relational database design
Experience building and maintaining data pipelines and ETL processes
Familiarity with data orchestration tools like Airflow or dbt
Proficiency in data analysis libraries such as Pandas and NumPy
Experience with version control (Git) and CI/CD practices

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