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SpaceX

Operations Engineer

McGregor, TXmidAdded today

About this role

SpaceX seeks an Operations Engineer to join the Process and Material Planning team at the McGregor, TX Rocket Development and Test facility. This role combines engineering analysis, data science, and hands-on operations experience to optimize supply chain, planning, and production efficiency across Falcon, Dragon, Raptor, and Starship programs.

What you'll do

  • Develop and maintain data analysis tools using SQL, Python, and Excel to address delivery, capacity, and cost challenges
  • Define operational metrics and dashboards in Grafana and Power BI to track reliability, cost, and agility
  • Conduct ad-hoc data analysis for leadership to inform headcount, labor, and project decisions
  • Lead process improvement initiatives to reduce waste, improve safety, and eliminate production bottlenecks
  • Coordinate cross-site alignment with supply chain, test, and fabrication teams to eliminate duplicate efforts
  • Support planners during high-demand periods and facilitate knowledge transfer for new systems and best practices

What they're looking for

  • SQL and database development
  • Python programming
  • Data visualization (Power BI, Grafana, Tableau)
  • Process mapping and continuous improvement
  • ERP systems experience
  • Manufacturing and logistics operations
  • Excel for analysis and reporting
  • Cross-functional collaboration
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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
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Likely interview questions

  • Describe a time you used SQL or Python to solve an operational problem—what was the challenge and how did you measure success?
  • How have you designed metrics or dashboards that influenced decision-making in a production environment?