SpaceX
Operations Engineer (Construction)
About this role
SpaceX seeks an Operations Engineer to optimize manufacturing facility operations at its Hawthorne factory. You'll design metrics, dashboards, and process improvements while managing cross-functional initiatives to enhance efficiency across construction and infrastructure engineering teams.
What you'll do
- Develop visual standards for work boards, JIRA, PowerBI dashboards, and department workflows
- Support continuous improvement projects including process standardization and rollouts
- Analyze operations data using SQL and other methods to identify trends and inform decision-making
- Design and build department-level metrics and dashboards to measure operational health
- Conduct audits of repair, maintenance, and construction engineering teams to streamline processes
- Implement automation and tools to reduce risk and create factory efficiencies
What they're looking for
- SQL and data analysis
- Excel and Python programming
- PowerBI or data visualization tools
- Process improvement and lean/six sigma methodologies
- JIRA and construction management software
- Cost-benefit analysis and statistics
- CAD or ArcGIS experience
- Cross-functional team collaboration
Benefits
- Medical, vision, and dental coverage
- 401(k) retirement plan
- Short and long-term disability insurance
- Life insurance and paid parental leave
- Stock options and Employee Stock Purchase Plan
- Discretionary bonuses and long-term incentives
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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
- Describe a process improvement project you led—what metrics did you use to measure success?
- Walk us through how you'd approach identifying operational inefficiencies across a manufacturing team using data.