SpaceX
Full Stack Software Engineer, Data (Starlink)
About this role
Build and optimize enterprise-scale data platforms for Starlink's satellite internet service. You'll develop reliable, scalable infrastructure to handle petabyte-scale data ingestion, processing, and querying while creating end-to-end data pipelines that drive business operations.
What you'll do
- Develop highly reliable and scalable enterprise data platforms supporting petabyte-scale operations
- Design and build end-to-end data pipelines that enhance business processes across SpaceX
- Collaborate with team members on architecture, design reviews, and code quality
- Build and validate prototypes to test design concepts and identify technical constraints
- Own complete software engineering lifecycle from design through deployment and monitoring
- Apply first-principles thinking to solve complex business and technical problems
What they're looking for
- Full-stack development (backend and frontend)
- Programming in Scala, Java, C#, Python, or Go
- Frontend frameworks like React or Angular
- Big data processing with Kafka, Spark, or Flink
- Relational and non-relational databases (PostgreSQL, CockroachDB, Delta Lake)
- Data visualization tools (Grafana, Metabase, PowerBI)
- CI/CD, version control, testing, and deployment practices
- Statistics and machine learning fundamentals
Benefits
- Medical, vision, and dental coverage
- 401(k) retirement plan with company matching
- 3 weeks paid vacation plus 10+ paid holidays annually
- Short and long-term disability and life insurance
- Paid parental leave
- Stock options and Employee Stock Purchase Plan discounts
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SpaceX
SpaceX develops advanced spacecraft and satellite systems, including the Starshield government satellite constellation and Starfall re-entry cargo capsule for global delivery. The company is hiring engineers in avionics integration, software test automation, mechanical design, and hardware reliability to validate flight-critical systems and ensure mission success.
- Website
- spacex.com
Likely interview questions
- Walk us through your experience designing and optimizing data pipelines at scale—what challenges did you face and how did you solve them?
- Tell us about a time you owned a full-stack feature from concept to production. What was your approach to ensuring reliability and scalability?