EDSI F135 Data Engineer (Hybrid)
About The Position
Pratt & Whitney is seeking a motivated and detail-oriented Engineer II to support the Engine Design & Systems Integration (EDSI) area. The EDSI organization is a multi-functional group that provides system-level engineering solutions to meet customer requirements. The F135 Engine Design and System Integration (EDSI) Production and Field Support Team is seeking a Data Engineer. In this role, the candidate will have responsibility for ensuring that the Life Management Table architecture supports integration with the downstream system and is maintained to VAULTIS standards. The candidate will work at the direction of the lead architect to expand database features, ensuring part tracking and life management information is maintained and flowed to downstream systems. The candidate will query enterprise data systems to ensure integration with sustainment data products. The candidate will be responsible for identifying cross-system data misalignment, driving data management process change, and automating the detection of process failure modes to ensure engineering intent is maintained across the F135 sustainment enterprise. This role requires integration with internal component groups (CIPT), Model-Based Systems Engineering, and PW Sustainment organizations.
Requirements
- Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM)
- 2 years of engineering experience, or an Advanced Degree with a GPA of 3.0 or higher
- Experience with coding
- English (read, write, speak) is required when communicating with customers, co-workers, or supervisors who only speak English.
Nice To Haves
- Experience using Databricks, Python & SQL
- Experience using Flask, Node.js, or equivalent web application frameworks
- Experience in F135 fleet sustainment or F135 data systems
- Knowledge of gas turbine engine fundamentals, with emphasis on engine propulsion and component matching analyses.
- Familiarity with agile development methods
- Demonstrated implementation of data management solutions to integrate and optimize pre-existing infrastructure
- Communication and teamwork abilities to work within a multidisciplinary environment.
- Knowledge in Data Analytics, Machine Learning, and/or Model-Based System Engineering.
- Works autonomously with limited supervision.
Responsibilities
- Understand F135 Data Investigation team lessons learned
- Participate in Sustainment integration meetings and derive requirements for feature definition
- Maintain & continuously improve database features and data integration solutions (data pipelines & API endpoints)
- Support development & optimization of data models, database schemas, and data storage solutions
- Monitor data quality measures, collaborating with adjacent engineering & sustainment teams to ensure data accuracy & completeness
- Test database & data integration features and present results to ensure design intent to requirements
- Generate technical documentation, presentations, and reports to communicate results, risks, and recommendations to engineering teams and leadership.
- Contribute to continuous improvement initiatives that enhance our tools, analysis methodologies, and workflows.
- Based on business needs, the incumbent may be required to support other duties/functions within the company.
Benefits
- Employee Scholar Program
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
