Durability Data Analytics Principal Engineer P4; Onsite

Position: Durability Data Analytics Principal Engineer P4 (Onsite)
Job d:
Posted 28 Days Ago

Start Date:

Location:

US-CT-EAST HARTFORD-OBG ~ 400 Main St ~ BLDG OBGCountry:
United States of America Time Type:
Full time

Date Posted:

Country:

United States of America

Location:

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

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here: https://(Use the "Apply for this Job" box below)..62

Security Clearance Type:
None/Not Required

Security Clearance Status:
Not Required At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

What You Will Do:

Hot Section Engineering (HSE) at Pratt & Whitney is looking for a motivated, ambitious individual to join our Hot Section Durability organization in our East Hartford, CT location. The Durability Discipline is highly specialized with particular focus on advanced cooling designs, aerodynamics, heat transfer, lifing, coatings, high-temperature aerospace alloys, and manufacturing. HSE is seeking a dynamic individual to evaluate fielded performance of Hot Section products in commercial and military engines via fleetwide statistical analysis.

This candidate will need to leverage 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 You 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.

Qualifications We Prefer:

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

What We Offer:

Eligible for…