Data Engineer (Starship)

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.

DATA 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.

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

BASIC QUALIFICATIONS:

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 SKILLS AND 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

ADDITIONAL REQUIREMENTS:

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

ITAR REQUIREMENTS:

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. Learn more about the ITAR here.