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SpaceX

Full Stack Software Engineer, Data (Starlink)

Redmond, WA$125k–$150kmidAdded today

About this role

SpaceX seeks a Full Stack Software Engineer to build scalable, enterprise-grade data platforms for Starlink, supporting petabyte-scale data ingestion, processing, and analytics. You'll own end-to-end data pipeline development while collaborating with engineering teams to solve complex problems that enhance Starlink's satellite internet service for millions of users globally.

What you'll do

  • Develop reliable, scalable enterprise data platform for petabyte-scale ingestion, processing, storage, and querying
  • Design and build end-to-end data pipelines that improve SpaceX business operations
  • Collaborate on architecture, design reviews, and code quality with cross-functional teams
  • Build prototypes to validate design concepts and quantify technical constraints
  • Own complete software engineering lifecycle from concept to production deployment
  • Apply first-principles thinking to solve complex business problems efficiently

What they're looking for

  • Full stack development and data engineering
  • Programming: Scala, Java, C#, Python, or Go
  • Frontend frameworks: React or Angular
  • Big data processing: Kafka, Spark, or Flink
  • Databases: PostgreSQL, CockroachDB, Hive, Delta Lake
  • Data visualization tools: Grafana, Metabase, or PowerBI
  • CI/CD, version control, testing, and monitoring practices
  • Statistics and machine learning fundamentals

Benefits

  • Competitive base salary: $125K–$175K depending on level
  • Stock options, long-term incentives, and discretionary bonuses
  • Comprehensive medical, vision, and dental coverage
  • 401(k) retirement plan with employer matching
  • 3 weeks paid vacation and 10+ paid holidays annually
  • Paid parental leave and Employee Stock Purchase Plan

Likely interview questions

  • Describe your experience building or optimizing data pipelines at scale—what frameworks did you use and what challenges did you encounter?
  • Tell us about a time you owned a full-stack feature from design through production—how did you approach the problem and measure success?
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