Asset Integration Engineer, Aviation Data & Analytics

Airbus

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Atlanta, GA
Employment
Full-time
Posted
9 days ago
Freshness
Confirmed live yesterday

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Similar $174k
$121k $227k
below market most similar roles pay here above market

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About Airbus

Airbus is a leading global aircraft manufacturer and aerospace company producing commercial jets (A320, A350, A380), military aircraft, helicopters, and space systems for customers worldwide. Industry: Aerospace & Aviation Manufacturing

Airbus currently has 7 open roles on FindRole.

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At a glance

TL;DR · Asset Integration Engineer, Aviation Data & Analytics

As an Asset Integration Engineer (Aviation Data & Analytics), you will join the Skywise team to serve as a technical bridge for global partners like Delta TechOps and GE Aerospace. You will build and improve model integration pipelines, automating data workflows to transform disparate datasets into high-signal models. Your daily responsibilities include providing technical support for partners to retrieve aircraft data, researching R&D topics for AI/ML possibilities, and developing technical architectures. You must possess aviation knowledge regarding aircraft systems, sensors, and parameters. Required technical skills include coding experience in Python, SQL, and Regex, alongside an analytical mindset for data detective work. You will also utilize tools such as Palantir Foundry and Apache Spark (PySpark) to integrate maintenance models into the core aviation data infrastructure.

What you'll do

  • Build and improve the model integration pipeline to automate data workflows.
  • Support partners in retrieving aircraft data and integrating maintenance models into the ecosystem.
  • Automate data workflows to transform disparate datasets into high-signal models.
  • Research R&D topics to propose new AI/ML possibilities and technical architectures.
  • Participate in technical discussions regarding product vision, documentation, and sustainability.
  • Explain complex technical solutions to both engineering and non-technical stakeholders.

What we're looking for

  • 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 MS equivalent.
  • Proficiency in English to explain complex technical solutions to engineers and non-technical stakeholders.
  • Basic experience with coding, preferably in Python, SQL, and Regex.
  • Understanding of basic aircraft systems, parameters, and sensors used to monitor flight health.
  • Ability to research R&D topics autonomously and propose new AI/ML possibilities or technical architectures.
  • Analytical mindset to interpret and understand complex datasets.
  • Current work authorization is required.

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