Data Platforms & Applications Engineer

Electra AeroManassas, VA
2d$100,000 - $120,000Onsite

About The Position

At Electra, we're pioneering sustainable aviation by developing hybrid-electric Ultra Short Takeoff and Landing aircraft designed to transform regional air mobility by making air travel more efficient, quieter, and environmentally friendly. Able to operate from soccer‑field‑sized spaces, our Ultra Short unlocks a new era of aviation through what we call Direct Aviation- bringing air travel closer to where we live, work, and play. Headquartered in Northern Virginia, with additional locations in Switzerland, we're building a diverse team of global professionals passionate about redefining the future of aviation. Position Overview Electra is seeking a Data Platforms & Applications Engineer to support the design, build, and operation of Electra's core data and digital platforms. This role spans data integration, application development, analytics, and user‑facing tooling, partnering closely with engineering, operations, and leadership in a fast‑moving environment. As Electra's digital ecosystem expands, this role will play a critical part in scaling data workflows, building internal tools, supporting analytics use cases, and contributing to early AI/ML‑enabled capabilities. The ideal candidate is hands‑on, comfortable moving between backend systems and user interactions, and able to translate operational needs into robust technical solutions.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Mathematics, Physics, Data Science, or a related discipline
  • 1+ years of Software/Data Engineering experience
  • Demonstrated core proficiency in Python (backend, data pipelines, ML) and/or TypeScript (JavaScript)
  • Solid understanding of: Data structures and storage systems Cloud infrastructure Application development (frontend)
  • Ability to work independently with minimal supervision
  • Comfortable operating in a dynamic environment with evolving requirements
  • Strong collaboration skills across technical and non‑technical teams

Nice To Haves

  • Familiarization with front-end geospatial and data visualization libraries, such as React, Leaflet, D3.
  • Experience or strong interest in logistics, supply chain, sustainment, aviation, and/or readiness analysis
  • Experience building or experimenting with LLM‑based applications
  • Familiarity with large‑scale data systems and analytics
  • Prior exposure to production systems supporting operational users
  • Experience in SQL, Go, or Rust

Responsibilities

  • Build and maintain data pipelines and integrations across operational systems
  • Develop custom front-end applications on top of core data platforms
  • Support analytics, reporting, and decision‑support use cases
  • Collaborate directly with users to translate operational needs into technical solutions
  • Ensure technical decisions reflect real user workflows and constraints
  • Contribute to early AI/ML‑enabled capabilities where appropriate
  • Ability to competently navigate across backend, frontend, data storage, cloud infrastructure, and emerging AI/ML tooling as needed.
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