Pratt & Whitney is seeking an EDSI F135 Data Engineer to support engine design and system integration production, along with field support activities. In this hybrid role in Aguadilla, PR, you will help maintain the Life Management Table architecture and extend database capabilities so sustainment data products can flow downstream while preserving engineering intent.
You will work across data investigation learnings, integration discussions, and technical execution, including improvements to data pipelines and API endpoints, ongoing data quality monitoring, and automation to detect process failure modes. The position also involves validating database and integration features against requirements, and sharing findings through documentation and presentations.
Responsibilities
- Apply lessons learned from the F135 Data Investigation team
- Join Sustainment integration meetings and translate outcomes into feature definition requirements
- Maintain and continuously improve database features and data integration solutions, including data pipelines and API endpoints
- Support development and optimization of data models, database schemas, and data storage solutions
- Monitor data quality measures and coordinate with adjacent engineering and sustainment teams to maintain data accuracy and completeness
- Test database and data integration features and present results to confirm design intent aligns with requirements
- Create technical documentation, presentations, and reports that communicate results, risks, and recommendations
- Contribute to continuous improvement initiatives that enhance tools, analysis methodologies, and workflows
- At times, support other company duties as business needs require
- Travel up to 15%
Requirements
- Bachelor’s Degree in STEM (Science, Technology, Engineering, or Mathematics)
- 2 years of engineering experience, or an Advanced Degree with a GPA of 3.0 or higher
- Experience with coding
Preferred Qualifications
- Experience using Databricks, Python, and SQL
- Experience with Flask, Node.js, or equivalent web application frameworks
- Experience with 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 in a multidisciplinary environment
- Knowledge in Data Analytics, Machine Learning, and/or Model-Based System Engineering
- Ability to work autonomously with limited supervision
Technology Stack
- Databricks
- Python
- SQL
- Flask
- Node.js
Location and Work Style
- Hybrid in Aguadilla, PR, United States of America
Benefits
Citizenship and Security
- U.S. citizenship required (only U.S. citizens are authorized to access information under this program/contract)
- No clearance required