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4 дня назад

Asset Integration Engineer (Aviation Data & Analytics)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Asset Integration Engineer (Aviation Data & Analytics) (Python/SQL/Aviation): Building model integration pipelines and automated data workflows that connect aircraft data and predictive maintenance models to Skywise with an accent on aviation systems, partner integration, and high-signal analytics. Focus on researching AI/ML opportunities, designing scalable technical architectures, and supporting international aerospace partners.

Location: Atlanta Area, Georgia, United States. Flexible work arrangements are listed, with occasional travel for collaboration with global teams. Applicants must have current US work authorization.

Company

Skywise is hirify.global’s digital services platform, providing interoperable aviation solutions for planning, flight, technical, and ground operations.

What you will do

  • Build and improve model integration pipelines and automate data workflows.
  • Support aviation partners with aircraft data retrieval, including parameters and logbooks.
  • Integrate predictive maintenance models into the Skywise data ecosystem.
  • Transform disparate datasets into high-signal analytical models.
  • Research AI/ML opportunities and technical architectures for scalability and cost optimization.
  • Participate in technical discussions, documentation, innovation initiatives, and international partner meetings.

Requirements

  • Knowledge of basic aircraft systems, aircraft parameters, and health-monitoring sensors such as temperature, vibration, and pressure sensors.
  • Basic coding experience or an equivalent master’s degree, preferably with Python, SQL, and Regex.
  • Ability to analyze datasets and investigate the source and meaning of data.
  • English proficiency sufficient to explain technical solutions to engineers and non-technical stakeholders.
  • Bachelor’s or master’s degree in computer science, data science, or a related field, or equivalent professional experience.
  • Minimum 2 years of experience, or an equivalent master’s degree.

Nice to have

  • Experience or willingness to learn Palantir Foundry, Apache Spark, PySpark, and specialized Python frameworks used by Skywise.
  • Ability to propose new AI/ML opportunities and research R&D topics autonomously.

Culture & Benefits

  • Flexible hours and summer core hours.
  • 15–24 vacation days, 12 sick days, and Christmas shutdown.
  • Training, learning, and development support.
  • Group benefits, pension scheme, employee share scheme, and maternity and paternity benefits.
  • Work-life balance, mental health support, casual dress code, and inclusion initiatives.

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