Data Initiatives Engineer - Predictive Maintenance & ML

Energy Transfer LP

Houston (TX)

On-site

USD 85,000 - 125,000

Full time

3 days ago

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Job summary

Energy Transfer LP in Houston seeks an Engineer to support the Data Initiatives Group, accelerating data-driven innovation and integrating new technologies into day-to-day Operations. You will help develop in-house rotating equipment failure prevention and predictive maintenance programs, including data collection, ML modeling, data interpretation, and equipment monitoring across field operations.

This role requires collaboration with Operations, IT, and Maintenance teams to diagnose anomalies

Qualifications

Bachelor's degree in engineering required.
0–3 years' experience in Oil & Gas industry (Associate level) or 3–6 years (Engineer level).
Strong Excel data formatting skills.

Responsibilities

Support Data Initiatives Group with data enhancement projects.
Build, train, and support ML models for reliability and optimization.
Monitor ML models for equipment anomalies and liaise with field personnel.
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.
Collaborate with Operations to ensure equipment uptime.