Senior Engineer-Digital Engine Services Analytics PT6A Engineer

Key Skills

AWS, C# Programming, Databricks, Effective communication skills, Lambda, Lean Six Sigma, Machine learning techniques, matplotlib, Microsoft-Excel, MySQL, PostgreSQL, PowerBI, Python Programming, SQL, Statistics

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.

The selected candidate will generate/implement algorithms that monitor automatically monitor critical flight parameters, alert for anomalies, and provide visibility to events or exceedances.

This helps the operator to make informed decisions about preventive maintenance, thereby reducing unscheduled maintenance, lowering operating costs, and increasing aircraft availability. DPHM’s advanced diagnostic solutions provides true value-added benefits that enable the operator to determine the best time to undertake maintenance on the engine and airframe. This can minimize costs by allowing for component repair instead of replacement and maximize engine time on wing.

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 Skills:

-Bachelor's degree with 5-10 years of experience

-Experience in turbomachinery performance modeling (i.e., SOAPP, FAST, NPSS, etc.)

-Experience supporting turbomachinery testing, data collection, or data reduction

-6s Statistical Process Control

-Strong computer programming skills using the languages Python, R, C++, and/or C# (SSIS)

-Familiar with data visualization techniques using (i.e., Matplotlib, HighCharts and/or PowerBI)

-Proficient in MS SQL, MySQL and/or PostgreSQL

-Proficient in MS Office, especially in Excel

-Good oral and written communication skills

Beneficial Skills:

- Experience specifically with in turboprop/turboshaft engine performance.

- Knowledge of DataBricks

- Knowledge ow AWS and related services