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Pivotal

Full Stack Data Engineer - Internal Flight Data Applications

Palo Alto, CAfull-time (exempt)midAdded today

About this role

Pivotal seeks a Full Stack Data Engineer to develop internal applications that enable engineering teams to explore and analyze flight data from their eVTOL aircraft fleet. You'll build backend services, web interfaces, dashboards, and AI-powered analysis tools while working directly with end-users to translate their questions into solutions.

What you'll do

  • Design and develop backend services that interface with the centralized flight data platform
  • Build web-based front-end applications for exploring and visualizing large datasets
  • Create dashboards and reporting tools for engineering teams
  • Develop AI-assisted tools to help engineers interpret flight data
  • Package analysis and data tools for deployment on engineers' local machines
  • Collaborate directly with engineering teams to understand requirements and iterate on solutions

What they're looking for

  • Full-stack web development (frontend and backend)
  • Data platform integration and API design
  • Database querying and optimization
  • Data visualization and dashboard development
  • Python or similar backend languages
  • JavaScript/TypeScript or modern frontend frameworks
  • AI/ML integration and tooling
  • SQL and data exploration techniques
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Pivotal

Pivotal develops innovative electric Vertical Takeoff and Landing (eVTOL) aircraft, including models like BlackFly and Helix, with a focus on aeromechanical systems, flight control, and autonomous capabilities. The company is hiring verification engineers, quality engineers, motor controls engineers, firmware engineers, and computer vision engineers to advance aircraft performance, safety, manufacturing quality, and autonomous perception systems.

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Likely interview questions

  • Describe your experience building full-stack applications—what was the most complex data integration you've handled?
  • How would you approach designing a backend API to serve large datasets to a web front-end?
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