Data Engineer (Starship)

Summary

SpaceX is actively developing technologies to make human life on Mars possible, and they are seeking a Data Engineer for the Starship Supply Chain team. The role involves building data pipelines, improving processes, and developing tools that support the supply chain for Starship launches.

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

Skills

• 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
• Must be able to work extended hours and/or weekends as needed to meet major milestones
• Must be able to travel - up to 10% work week travel may be required to other sites
• This position is based in Starbase, TX and requires being onsite - remote work not considered
• To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State
• 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
• Experience with version control (Git), CI/CD, testing, and monitoring
• Strong understanding of data quality, statistical analysis, and data visualization best practices

Qualifications

Must Haves

• 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
• Must be able to work extended hours and/or weekends as needed to meet major milestones
• Must be able to travel - up to 10% work week travel may be required to other sites
• This position is based in Starbase, TX and requires being onsite - remote work not considered
• To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State

Nice to Haves

• 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
• Experience with version control (Git), CI/CD, testing, and monitoring
• Strong understanding of data quality, statistical analysis, and data visualization best practices