Durability, Data Analytics Principal Engineer P4 (Onsite)

RTX • East Hartford, CT

1d • Onsite

About The Position

Pratt & Whitney is working to once again transform the future of flight—designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious. Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future. At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond? Only candidates Internal to Pratt & Whitney Engineering will be considered for this role. 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.

Requirements

• 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.
• U.S. Person/Green card holder

Nice To Haves

• 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

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

Benefits

• Eligible for Relocation Benefits
• Hired applicants may be eligible for benefits, including but not limited to, 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, and holidays.
• Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees