Ability to troubleshoot and solve problems effectively.
Strong communication and interpersonal skills.
Capacity to manage workload independently and meet deadlines.
Adaptable to changing priorities and able to multi-task.
Responsibilities
Support Data Initiatives Group with data enhancement and standardization projects.
Build and maintain machine learning models for operational reliability.
Monitor models for equipment anomalies and communicate findings to field personnel.
Import and format raw equipment data into a standardized system.
Assist in creating AI-centric programs for equipment maintenance optimization.
Provide engineering support for various data initiatives.
Collaborate with Operations Stakeholders to ensure equipment reliability.
Benefits
Normal office working conditions with occasional field work.
Opportunities for professional development and training.
Exposure to advanced technologies in data analytics and machine learning.
Potential for career advancement based on performance and experience.
Full Job Description
Summary:
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.
Essential Duties and Responsibilities:
The position will support Data Initiatives Group personnel with implementation of data enhancement and standardization projects focused on field operations-related activities and equipment.
Build, train, and provide ongoing support for technical machine learning models focused on operational reliability and optimization.
Monitor machine learning models for equipment anomalies, assess potential failure conditions, and communicate with field personnel to maintain equipment.
Entry and import of raw equipment data into a standardized, formatted, and sorted data system
Assist with creation of new AI-centric programs to optimize equipment maintenance and reliability.
Provide day-to-day engineering and technical support for various data initiatives.
Identify and develop scopes for future data enhancement projects.
Collaborate with Operations Stakeholders to oversee equipment reliability and uptime.
The position will require constant communication and coordination with Operations, Operations Services, and Operations Analytics (IT) in area of responsibility.
To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. The requirements for this position are listed below:
Bachelor's degree in Engineering discipline.
0-3+ years' experience in Oil and Gas Industry.
Title conferred will be based on candidates' years of relevant experience.
Strong Excel data formatting skills
Can modify established workflows and evaluate and assess errors as they arise
Must possess strong troubleshooting, problem solving, communication, and interpersonal skills.
Ability to manage workload independently and deliver timely and accurate results.
Must be able to multi-task, prioritize work and adaptable to changing due dates.
Must have the ability to work with little supervision and to interact with all levels of operations management.
Preferred Qualifications:
Experience with system performance monitoring, data analytics, or reliability engineering and associated applications such as dataPARC, SCADA, and Seeq.
Oil and Gas Midstream Operations and Rotating Equipment engineering experience
Required experience is commensurate with the selected job level:
The Associate Engineer level requires a Bachelor's degree in an engineering discipline and 0-3 years of relevant job-related experience
The Engineer level requires a Bachelor's degree in an engineering discipline and 3-6 years of relevant job-related experience
The Senior Engineer level requires a Bachelor's degree in an engineering discipline and 6-8 years of relevant job-related experience
The Senior Engineer II level requires a Bachelor's degree in an engineering discipline and 8+ years of relevant job-related experience
Working Conditions:
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.
About Energy Transfer Equity
Energy Transfer Equity Careers
Join the dynamic team at Energy Transfer Equity, a leader in the energy sector, and propel your career to new heights in an industry that values innovation and leadership. At Energy Transfer Equity, we offer more than just job opportunities; we provide a platform for professional growth and personal development.
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At Energy Transfer Equity, you’ll collaborate with skilled professionals dedicated to advancing the energy landscape through innovation and sustainable practices. Our team is at the forefront of the industry, leading projects that have a global impact. With a variety of positions available, from engineering to business management, Energy Transfer Equity is the place to be for ambitious individuals looking to make a significant impact.
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