June 3
🔄 Hybrid – Manhattan
• Generate and administer ETL pipelines, databases, and APIs to other systems • Oversee pipeline development from inception to production releases • Identify root cause of missing, incorrect, or delayed data processing • Perform large-scale data reprocessing on cloud environments • Maintain web portal interfaces, and address maintenance/field support issues • Conduct design reviews and IPT approval meetings to ensure compliance with engineering standards • Prepare and deliver release engineering reports and presentations to communicate project status and findings • Update and maintain the DPHM SSIS data pipeline to ensure data integrity and reliability • Validate new digital engine services as part of the EIS rollout • Support development of engine model specific KPI dashboards • Analyze engine operational data from field and test cell • Develop and validate new engine-specific health monitoring functions, trend data cleansing scripts, and their portal interfaces
• Degree in Aerospace/Mechanical Engineering is strongly preferred and will consider those with a background in Data Science/Data Engineering • Minimum 5 years of industry experience • Understanding of data governance principles to ensure data quality, security, and compliance • Proficiency in managing SQL and Delta Lake databases to ensure efficient data processing • Ability to support engineering by performing complex data queries and exploratory data analysis to extract meaningful insights • Proficiency in software validation and verification testing • Strong communication skills, both written and verbal • Ability to work collaboratively in a team environment • Strong problem-solving skills with the ability to think analytically and logically
• Generous benefits package including health, dental, and vision insurance • Paid time off • Employee assistance program
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