Data Engineer (Starship)

SpaceX • Starbase, TX, TX

1d • Onsite

About The Position

The Data Engineer will join SpaceX’s Starship Supply Chain Data and Operations Engineering team, which builds data pipelines, improves processes, and develops tools and automation to inform and accelerate the organization. The team supports the supply chain for Starfactory and the goal of thousands of Starship launches per year. Aerospace experience is not required. The role involves owning challenging problems end-to-end and delivering solutions that support SpaceX’s mission.

Requirements

• Bachelor's degree in computer science, data science, engineering, mathematics, physics, or another scientific discipline, or at least 2 years of professional experience building software or data pipelines in lieu of a degree.
• At least 1 year of experience in data engineering, data science, full-stack development, or software engineering through project teams, 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 to other sites may be required.
• Must meet the stated U.S. export-control eligibility requirements or be eligible to obtain required authorizations.

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 such as 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 such as 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.

Responsibilities

• Own automations, applications, and data pipelines end-to-end.
• Manage projects throughout their lifecycle, including problem identification, solution ideation, architecture, implementation, adoption, monitoring, and iteration.
• Query, clean, and transform data to inform and focus supply chain operations at all organizational levels.
• Collaborate with central software teams on the software ecosystem, project requirements, roadmaps, and implementation details.
• Develop, standardize, and continuously improve key process indicators and other operational metrics.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level