This listing doesn't post a salary. Most similar roles pay
$135,000–$199,000.
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.
Join the Starship Supply Chain team at SpaceX as a Software Engineer, where you will work on data pipelines and automation tools to support thousands of annual launches. You’ll own projects from ideation to implementation, collaborating with central software teams to develop solutions that inform and accelerate supply chain processes across all levels. Key responsibilities include querying and transforming data, developing web apps for non-technical stakeholders, and improving operational metrics. Ideal candidates have experience in data engineering, SQL, ETL processes, and tools like Airflow or dbt, along with proficiency in Python libraries such as Pandas and NumPy. This role requires a strong background in software development and collaboration skills to tackle complex challenges within the fast-paced aerospace industry.
Own projects from problem identification to monitoring and iteration.
Develop data pipelines, ETL processes, and automation tools for supply chain efficiency.
Query, clean, and transform data to inform decision-making at all levels of the organization.
Collaborate with central software teams on project requirements and implementation details.
Standardize and improve operational metrics and key process indicators continuously.
What we're looking for
Bachelor's degree in computer science, data science, engineering, math, physics, or a related field; OR 2+ years of professional software/data pipeline experience.
At least 1 year of experience in data engineering, full stack development, or similar roles.
Proficiency with SQL and relational database design.
Experience building and maintaining data pipelines and ETL processes.
Familiarity with data orchestration tools like Airflow, Prefect, or dbt.
Strong understanding of data quality, statistical analysis, and visualization best practices.