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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable data pipelines integrating telemetry, alarms, maintenance, and engineering data for GE Vernova's global Solar and Storage fleet.
Develop and enforce fleet asset models, data-quality standards, and traceability controls to enable reliable Root Cause Analysis, performance monitoring, and predictive analytics.
Partner cross-functionally with engineering, reliability, AI, and operations teams to convert fragmented fleet data into reusable, governed engineering intelligence data products.
Minimum Requirements
Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Electrical Engineering, Systems Engineering, Control Systems Engineering, or related field.
Minimum 8 years of experience in data engineering, industrial data systems, software engineering, reliability data, or operational technology data.
Strong proficiency in SQL and Python; experience with ETL/ELT pipelines across structured, semi-structured, and time-series data.
Experience implementing data-quality validation, lineage, monitoring, error handling, and traceability controls.
Ideal Candidate Profile
Experienced in industrial and operational technology data domains including telemetry, alarms, maintenance, and asset lifecycle management.
Demonstrated ability to translate complex engineering and reliability requirements into scalable, reusable data structures and governed data products.
Skilled collaborator working across global teams including reliability, AI, and operations to deliver sustainable, production-quality engineering data solutions.