Lead Data & AI Analytics Engineer

Airbus Aircraft

Herndon (VA)

On-site

USD 140,000 - 190,000

Full time

3 days ago
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Benefits offered by this job

Competitive salary
Profit sharing
Employee Stock Ownership Plan (ESOP)
Paid time off

Job summary

Airbus Americas, Inc. is seeking a Lead Data & Analytics / AI Developer to join our AI and Advanced Analytics team. You will help develop cutting-edge AI, ML, and enterprise data architecture across North America.

You will lead data engineering and Palantir Skywise integration to optimize operational decision‑making, assembly line efficiency, and productivity, collaborating with shop-floor managers and executives across commercial aviation and helicopter divisions.

Qualifications

  • 10+ years in data engineering/advanced analytics or 7+ with a Master's.
  • Bachelor’s in Computer Science, Data Science, Analytics, Engineering, or related field.
  • Demonstrated leadership delivering digital initiatives and data pipelines.

Responsibilities

  • Lead data engineering and Skywise/Palantir architecture for NA operations.
  • Design, build, and maintain end-to-end data pipelines and analytics workflows.
  • Oversee platform administration for enterprise analytics tools (Tableau, Alteryx).
  • Mentor junior data analysts and engineers; drive governance and best practices.
  • Partner with regional leadership to translate manufacturing challenges into data products.

Skills

Palantir Skywise
Python
PySpark
SQL
Spark SQL
GenAI
Tableau
PowerBI
Alteryx
Communication
English

Education

Bachelor's degree in CS / Data Science / Engineering
Master's degree (preferred)

Tools

Palantir Skywise
Tableau
Alteryx
PowerBI
Kubernetes
Docker

Job description

Airbus Americas, Inc. is seeking a Lead Data & Analytics / AI Developer to join our AI and Advanced Analytics team. You will help develop cutting-edge AI, ML, and enterprise data architecture across North America.

You will lead data engineering and Palantir Skywise integration to optimize operational decision‑making, assembly line efficiency, and productivity, collaborating with shop-floor managers and executives across commercial aviation and helicopter divisions.

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