Durability Data Analytics Principal Engineer P4 (Onsite)

Pratt & Whitney; East Hartford (CT); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) match

Flexible work schedules

Paid time off

Job summary

Pratt & Whitney is looking for a motivated individual in Hot Section Engineering based in East Hartford, CT. The candidate will focus on advanced cooling designs and evaluate fielded performance in aerospace engines.

With responsibilities including optimizing ETL pipelines and performing statistical analysis, the role requires a Bachelor’s degree in STEM and significant engineering experience. Benefits include medical and dental insurance, 401(k) match, and more.

Qualifications

• 8 years of engineering experience or 5 years with an advanced degree.
• Experience in statistical analysis techniques, especially reliability analysis.
• Ability to mentor younger engineers.

Responsibilities

• Optimize and execute ETL pipelines within Databricks.
• Interrogate data to drive insights using statistical analysis.
• Utilize data visualization tools to present findings.
• Collaborate with teams to ensure data integrity.
• Advance Hot Section life predictions.

Skills

Data engineering

Statistical analysis

Python

SQL

Data visualization

Education

Bachelor’s degree in STEM

Master’s Degree in Data Science

Job description

Location

US-CT-EAST HARTFORD-OBG ~ 400 Main St ~ BLDG OBG

Job Posting Details

• Date Posted: 2026-07-02
• Country: United States of America
• Position Role Type: Onsite
• Internal candidates only
• U.S. Person required
• Security Clearance: None/Not Required

Role Summary

Hot Section Engineering (HSE) at Pratt & Whitney is seeking a motivated, ambitious individual to join our Hot Section Durability organization in East Hartford, CT. The Durability Discipline focuses on advanced cooling designs, aerodynamics, heat transfer, lifing, coatings, high‑temperature aerospace alloys, and manufacturing. The candidate will evaluate fielded performance of Hot Section products in commercial and military engines via fleet‑wide statistical analysis, leveraging technical acumen, curiosity and attention to detail to produce robust predictions and actionable insights to drive 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

Must Have:

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

Preferred:

• Master’s Degree in Data Science or related discipline
• 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

Benefits

• Eligible for relocation
• Medical, dental, vision, life insurance, short‑term disability, long‑term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, employee scholar program, parental leave, paid time off, holidays, and incentive compensation opportunities (subject to business unit and collective bargaining agreement)

Equal Opportunity

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, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.