Software Engineer (Starship)

The Starship Supply Chain team is building the machine that builds the machine. We are engineering a supply chain to feed Starfactory and support thousands of Starship launches per year. Our team spans planning, procurement, supplier development, quality, material flow, and inventory.

At the heart of this effort is the Data and Operations Engineering team. We build data pipelines, improve processes, and develop tools and automation that inform, accelerate, and focus the organization.

Aerospace experience is not required to succeed here. Instead, we look for smart, motivated, and collaborative engineers who love solving problems and want to make a meaningful impact on an inspiring mission. You will own challenging problems end-to-end, working alongside a team of enthusiastic engineers to design and deliver solutions that help SpaceX move toward its goals at a rapid pace.

- 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

- 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

- 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

- 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