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Prognostics & Health Management (PHM) Data Engineer - LiftSystem

Rolls-Royce

$90,985 - $136,477
Sep 25, 2025
Indianapolis, IN, US
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The Rolls-Royce LiftSystem EHM-SDI team is seeking a skilled Data Engineer to design, build, and maintain data infrastructure that powers Prognostics & Health Management (PHM) capability for F35B LiftSystem. This role will ensure that critical health data is captured, stored, and made accessible for analytics, machine learning models, and decision-making systems.

Requirements

  • Experience in working on production database systems, database design, administration and data engineering
  • Strong proficiency in SQL and relational database management systems
  • Familiarity with time-series data and its processing/storage
  • Experience building ETL data pipelines using tools such as Python
  • Knowledge of cloud services is a plus
  • Knowledge of API development for data access
  • Familiarity with PHM, experience with big data platforms, exposure to ML workflows

Responsibilities

  • Design, implement, and maintain scalable and secure database system for PHM data.
  • Optimize database performance, query speed, and storage efficiency.
  • Build ETS (Extract, Transform, Load) pipeline to establish automated data and file exchange capabilities for all PHM data.
  • Ensure seamless integration between OHM databases and analytics/visualization tools.
  • Provide technical advice on data architecture and database technologies to broader PHM capability.
  • Develop and implement data validation strategies to ensure accuracy and consistency.

Other

  • Full time
  • Indianapolis, IN/Hybrid - 3 Office Days/Week)
  • Must be U.S. Citizen to be considered for this opportunity
  • At Rolls-Royce we put safety first, do the right thing, keep it simple and make a difference. These principles form the behaviours that guide us and are an essential component of our assessment process. They are the fundamental qualities that we seek for all roles.
  • Relocation assistance will be provided if applicable.