10 дней назад
Full Stack Data Engineer (Aerospace)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Full Stack Data Engineer (Aerospace) (Python/AWS/React): Building internal flight-data applications, APIs, dashboards, and AI-assisted diagnostic tools that help aircraft engineers explore telemetry and investigate fleet health with an accent on large-scale data access, self-serve analysis, and traceable results. Focus on designing responsive interfaces over large datasets, developing agent-based query workflows, and distributing reliable analysis tools across Windows and other engineering environments.
Location: Palo Alto, CA, United States; on-site
Company
develops aircraft and uses fleet flight data to support engineering analysis, diagnostics, and fleet health monitoring.
What you will do
- Build and maintain internal web applications for flight-record browsing, data querying, and engineering analysis.
- Develop Python backend services and HTTP APIs that query Athena and S3, with pagination and caching for large result sets.
- Create responsive interfaces with sortable tables, filters, and time-series visualizations for large telemetry datasets.
- Build AI-assisted, agent-based diagnostic tools that expose source data and derivation paths for verifiable results.
- Turn recurring analyses from firmware, GNC, battery, and maintenance teams into supported self-service tools.
- Generate a machine-readable data catalog, build fleet-alert review surfaces, and package analysis tools for engineers, including Windows users.
Requirements
- On-site work in Palo Alto, California, United States
- At least 2 years of professional experience building and shipping full-stack web applications.
- Bachelor’s degree in Computer Science or a related technical discipline, or equivalent practical experience.
- Proficiency in Python and SQL, plus experience with React, Vue, or another modern JavaScript or TypeScript framework.
- Experience building and consuming HTTP APIs, including authentication, pagination, and error handling.
- Comfort with Git-based workflows, code review, CI/CD, and collaborating directly with non-software engineering users.
Nice to have
- AWS experience with S3, Athena, Lambda, or API Gateway.
- Experience with large or time-series datasets, charting libraries, or Grafana.
- Docker, Terraform, LLM APIs, or agent frameworks for structured data.
- Experience with aerospace, automotive, robotics telemetry, desktop tooling, Windows packaging, SSO, IAM, or safety-critical systems.
- Experience building internal tools for colleagues rather than external customers.
Culture & Benefits
- Work directly with engineering teams whose requirements are gathered through conversation and collaborative scoping.
- Own work through deployment, including testing, code review, CI/CD, monitoring, and documentation.
- Emphasis on safety, customer focus, cross-functional collaboration, initiative, practical innovation, and respect.
- Support engineering workflows involving aircraft performance, diagnostics, and fleet health.
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