Support the Engine Design & Systems Integration (EDSI) area.
Ensure that the Life Management Table architecture supports integration with the downstream system.
Maintain database features, ensuring part tracking and life management information is maintained.
Query enterprise data systems to ensure integration with sustainment data products.
Identify cross-system data misalignment and drive data management process change.
Automate the detection of process failure modes.
Participate in Sustainment integration meetings and derive requirements for feature definition.
Maintain & continuously improve database features and data integration solutions.
Support development & optimization of data models, database schemas, and data storage solutions.
Monitor data quality measures and collaborate with engineering & sustainment teams to ensure data accuracy & completeness.
Generate technical documentation, presentations, and reports to communicate results, risks, and recommendations to engineering teams and leadership.

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
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.

Data Engineer

Key skills