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Energy Transfer is seeking an Engineer to support the Data Initiatives Group, accelerating data-driven innovation and integrating new technologies into day-to-day Operations. You will develop and monitor AI-centric programs for rotating equipment reliability and predictive maintenance, coordinating with Operations for anomaly diagnosis and uptime.
The role involves data collection, ML modeling, and collaboration across Operations teams to maintain flexible operations and optimize equipment
Energy Transfer, recognized by Forbes as one of America's best large employers, is dedicated to responsibly and safely delivering America's energy. We are driven to inspire our employees to create superior value for our customers, our investors, a sustainable future and giving back to the community where we have long-standing commitments to causes including MD Anderson Children's Cancer Hospital, The Salvation Army, The American Red Cross, Ronald McDonald House and many more.
We value all of our employees who make our growth and success possible. We are proud to offer industry leading compensation, comprehensive benefits, 401(k) match with additional profit sharing, PTO and abundant career opportunities.
Come join our award winning over 12,000 strong organization, as we fuel the world and each other!
The Engineer will report to the Manager of Engineering as part of the Data Initiatives Group and will provide engineering support to accelerate data-driven innovation and integrate emerging technologies into day-to-day Operations. The engineer will assist with the development of the in-house Rotating Equipment failure prevention and predictive maintenance program including data collection, machine learning modeling, data interpretation, and equipment monitoring. The engineer will be responsible to coordinate and communicate with various Energy Transfer operational groups to assess and diagnosis equipment anomalies while maintaining operational flexibility.
Education and/or Experience, Knowledge, Skills & Abilities:
Normal office working conditions and occasional field work. Must be able to remain in a stationary position 50% of the time due to prolonged periods of sitting or standing. Occasional overnight travel may be required. Visits to industrial/manufacturing settings, which may include exposure to various materials and chemicals, as well as extreme temperature conditions and loud machinery, and require appropriate personal protective equipment will occur.