Aerospace Durability Analytics Lead Engineer

RTX

East Hartford (CT)

On-site

USD 108,000 - 205,000

Full time

14 days+
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Benefits offered by this job

Relocation
Benefits

Job summary

RTX’s Pratt & Whitney Hot Section Engineering team in East Hartford, CT is seeking a motivated engineer to join the Hot Section Durability group. The role focuses on evaluating fielded performance of Hot Section products in commercial and military engines through fleetwide statistical analysis to inform business decisions.

You will lead data pipelines, apply advanced statistics and AI/ML techniques, and present findings to both technical and non-technical stakeholders while collaborating across

Qualifications

  • Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM) required.
  • 8 years of engineering experience, or an Advanced degree in a related field and 5 years of related engineering experience.

Responsibilities

  • Optimize and execute ETL pipelines within Databricks to integrate data into the data warehouse.
  • Interrogate the data to drive insights, and apply advanced statistical analysis, including AI/ML tools.
  • Present findings using data visualization tools to technical and non-technical stakeholders.
  • Collaborate with cross-functional teams to identify data requirements and maintain data integrity.
  • Advance, standardize, and improve Hot Section life predictions.

Skills

Python
AI/ML tools

Education

Bachelor’s degree in STEM
Advanced degree in related field

Tools

Databricks
SQL

Job description

RTX’s Pratt & Whitney Hot Section Engineering team in East Hartford, CT is seeking a motivated engineer to join the Hot Section Durability group. The role focuses on evaluating fielded performance of Hot Section products in commercial and military engines through fleetwide statistical analysis to inform business decisions.

You will lead data pipelines, apply advanced statistics and AI/ML techniques, and present findings to both technical and non-technical stakeholders while collaborating across

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