SpaceX Data Engineer (Starship) at SpaceX owns automations, applications, and data pipelines to support the Starship Supply Chain. The role involves designing, implementing, and iterating solutions to improve supply chain data and processes.
Responsibilities
Be the extreme owner of automations, applications, and data pipelines
Own projects throughout their entire lifecycle: problem identification, solution ideation, architecting, implementation, adoption, monitoring, and iteration
Query, clean, and transform data to inform and focus all levels of supply chain—from individual contributors to senior executives.
Collaborate with central software teams on a shared vision for the software ecosystem, project requirements, roadmaps, and implementation details.
Develop, standardize, and continuously improve key process indicators and other operational metrics
Qualification
Bachelor's degree in computer scienceProgramming experience in PythonExperience developing web apps
Required
Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software or data pipelines in lieu of a degree
1+ years of experience doing data engineering, data science, full stack development, or software engineering via project team, research, internships, and/or professional experience
Preferred
Experience managing UNIX-like operating systems via the command line
Strong proficiency with SQL and experience designing and querying relational databases
Experience building and maintaining data pipelines and ETL processes
Experience with data orchestration tools (e.g., Airflow, Prefect, or dbt)
Programming experience in Python, C#, or similar languages
Experience with data analysis and machine learning libraries such as Pandas, NumPy, and PyTorch
Experience with data visualization and business intelligence tools (e.g., Power BI, Grafana, Metabase, or Tableau)
Experience developing web apps, dashboards, or self-service platforms for non-technical stakeholders
