Senior Engineer, Data Analytics

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Who we are:

At Pratt & Whitney, we believe that powered flight has transformed – and will continue to transform – the world. That’s why we work with an explorer’s heart and a perfectionist’s grit to design, build, and service the world’s Military Engines most advanced aircraft engines. We do this across a diverse portfolio – including Commercial Engines, Business Aviation, General Aviation, Regional Aviation, and Helicopter Aviation – and as a way of turning possibilities into realities for our customers. This is how we at Pratt & Whitney approach our work, and this is why we are inspired to go beyond.

Job Description:

The Engine Diagnostics, Prognostics and Health Management team (DPHM) is dedicated to providing end to end solutions to improve aircraft reliability while reducing operating costs by allowing for component repair instead of replacement and maximize engine time on wing.

The selected candidate will support Engineering and Proactive Monitoring teams by performing data queries for engineering studies, audit the quality of engine trend algorithms, troubleshoot data pipeline issues, and maintaining/implementing sprint plans to address quality issues with the existing web portals. The candidate will be expected to rapidly deploy data visualizations in PowerBI.

Essential Duties/Tasks of Position:

• Support development of advanced engine performance condition trend monitoring algorithms
• Analyze steady state and transient engine trend data in support of engineering studies 
• Support QCPC & field investigations related to turbine engine Performance, Operability, Control, and Mechanical subsystems
• Perform performance deterioration studies of engines operating in service
• Develop and implement scripts, algorithms, machine learning, data clustering and fault

classification techniques within a relational database structure to manage, aggregate,

and search data in support of advanced diagnostics and prognostics.

• Implement and maintain analytic dashboards and Power BI solutions

Required qualification and skills:

• Bachelor/Master of Science in Aerospace or Mechanical Engineering with minimum 5-8 years of engineering experience required in field of aviation.
• Knowledgeable of Six Sigma Statistical Process Control methods
• Experience in turbomachinery performance modeling
• Familiar with data visualization techniques using (i.e., Matplotlib, HighCharts and/or PowerBI)
• Experience in engine condition trend monitoring
• Exposure in MS SQL, MySQL and/or PostgreSQL
• Proficient in MS Office, especially in Excel
• Good oral and written communication skills

Beneficial Skills:

• Knowledge of DataBricks, AWS, and related services

• Knowledge of computer programming skills using the languages Python

What we offer

• Long-term deferred compensation programs
• Daycare for young children
• Advancement programs to enhance education skills
• Flexible work schedules
• Leadership and training programs
• Comprehensive benefits, savings, and pension plans
• Financial support for parental leave
• Reward programs for outstanding work

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.  

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