Durability Data Analytics Principal Engineer P4 (Onsite)

Prattwhitney; East Hartford (CT); On-site; USD 107,500 - 204,500; Full time

Job summary

Pratt & Whitney in East Hartford, CT is seeking a motivated data engineer to join the Hot Section Durability group. You will design and optimize ETL pipelines in Databricks to unify data from multiple sources for fleet‑level analytics.

The role requires strong Python and SQL skills, data engineering know‑how, and the ability to mentor teammates. You will apply reliability analyses and AI/ML tools to improve life predictions and inform engineering decisions.

Qualifications

• Bachelor’s degree in STEM with 8+ years of engineering experience, or an advanced degree with 5+ years of related experience.
• Master’s Degree in Data Science or related field preferred.
• Proficiency in data engineering and database architecture.
• Knowledge of statistical analysis techniques, especially reliability analysis.
• Expert Python proficiency and collaboration in revision‑managed environments.
• Strong SQL skills and experience handling large datasets.
• Experience mentoring engineers and presenting to stakeholders.

Responsibilities

• Optimize and execute ETL pipelines in Databricks to integrate data into the data warehouse.
• Interrogate data to drive insights and apply AI/ML tools when appropriate.
• Use data visualization tools to present findings to technical and non‑technical stakeholders.
• Collaborate with cross‑functional teams to define data requirements and maintain data integrity.
• Advance durability life predictions and ensure consistency across analytics workflows.

Skills

Python

SQL

Data engineering

Statistical analysis

Data visualization

Mentoring

Education

Bachelor’s degree in STEM

Master’s degree in Data Science

Tools

Databricks

Data warehouse

Job description

Job Overview

Hot Section Engineering (HSE) at Pratt & Whitney (a division of RTX) is looking for a motivated, ambitious professional to join the Hot Section Durability organization at our East Hartford, CT location. The Durability Discipline focuses on advanced cooling designs, aerodynamics, heat transfer, life‑limit factors, coatings, high‑temperature aerospace alloys, and manufacturing. The role involves evaluating fielded performance of Hot Section products in commercial and military engines via fleet‑wide statistical analysis to produce robust predictions and actionable insights for business decisions.

Responsibilities

• Optimize and execute ETL pipelines within Databricks to integrate structured and unstructured data from internal and external sources into the existing data warehouse.
• Interrogate the data to drive insights and incorporate advanced statistical analysis, including the adoption of AI/ML tools.
• Utilize a variety of data visualization tools and techniques to present findings to technical and non‑technical stakeholders.
• Collaborate with cross‑functional teams to identify data requirements, ensure data accuracy, and maintain data integrity across the analytics workflow.
• Drive advancement, consistency, and continuous improvement of Hot Section life predictions.

Qualifications

• Bachelor’s degree in Science, Technology, Engineering or Mathematics (STEM) and 8 years of engineering experience, or an advanced degree with 5 years of related engineering experience.
• Master’s Degree in Data Science or related discipline (preferred).
• Proficiency in data engineering and database architecture.
• Knowledge of statistical analysis techniques, especially reliability analysis.
• Expert Python proficiency with experience working with teams in a revision‑managed environment.
• Comfortable in SQL managing large datasets.
• Experience working on technical projects in small to midsize teams.
• Ability to mentor younger engineers.
• Excellent presentation, written, and verbal communication skills.

Other Employment Information

Position Type: Onsite. Salary range: $107,500 – $204,500 USD. This role requires a U.S. Person. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. Candidates are U.S. citizens, U.S. nationals, U.S. permanent residents, refugees, or asylees – any U.S. Person.

Equal Opportunity Employment

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. RTX provides affirmative action for qualified individuals with a disability and protected veterans in compliance with applicable laws.