Data Initiatives Engineer: Predictive ML for Operations

Energy Transfer Family of Partnerships; Texas; On-site; USD 85,000 - 125,000; Full time

Job summary

Energy Transfer is seeking an Engineer to join the Data Initiatives Group, accelerating data-driven innovation and integrating emerging technologies into daily Operations. You will help develop in-house predictive maintenance programs, collect data, build ML models, and monitor equipment for anomalies, coordinating with various operations teams to ensure reliability.

The role involves data integration, model training, and ongoing technical support with cross-functional collaboration to drive

Qualifications

• Bachelor’s degree in Engineering required.
• 0-3+ years of Oil and Gas experience.
• Strong Excel data formatting skills.
• Ability to modify established workflows and assess errors.

Responsibilities

• Support Data Initiatives Group with data enhancement and standardization for field operations.
• Build, train, and provide ongoing support for ML models focusing on reliability and optimization.
• Monitor ML models for equipment anomalies and communicate with field personnel to maintain equipment.
• Enter and import raw equipment data into a standardized data system.
• Assist with creation of AI-centric programs to optimize maintenance and reliability.
• Provide day-to-day engineering and technical support for data initiatives.
• Identify and develop scopes for future data enhancements.
• Collaborate with Operations Stakeholders to oversee equipment reliability and uptime.
• Coordinate with Operations, Operations Services, and Operations Analytics as needed.

Skills

Excel data formatting

Troubleshooting

Communication

Interpersonal skills

Education

Bachelor’s degree in Engineering

Tools

Seeq

SCADA

dataPARC

Job description

Energy Transfer is seeking an Engineer to join the Data Initiatives Group, accelerating data-driven innovation and integrating emerging technologies into daily Operations. You will help develop in-house predictive maintenance programs, collect data, build ML models, and monitor equipment for anomalies, coordinating with various operations teams to ensure reliability.

The role involves data integration, model training, and ongoing technical support with cross-functional collaboration to drive