Maintenance Engineer

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Full Time Pasadena, TX, US

30+ days ago Requisition

Permanent, full-time, benefits eligible position.

Purpose:

Responsible for implementing and managing the Predictive Maintenance (PdM) Program to support the Texas and Mississippi manufacturing plants. Serves as the Mechanical Engineering subject matter expert and responsible for the Mechanical Integrity Program for these sites.

Essential Job Functions:

Use specific knowledge and expertise in reliability principles, analytics, equipment performance, and failure modes to initiate and drive focused equipment reliability improvements by supporting the following Zeon programs, initiatives, and processes.

• Implement and manage a Predictive Maintenance program including vibration analysis, infrared, ultrasonic, and oil analysis.
• Manage the existing Mechanical Integrity program. Work with maintenance leaders at both sites to ensure 100% compliance.
• Manage the corporate risk insurance program and coordinate audits at both sites.
• Work with site maintenance leaders to evaluate MI reports, Fitness for Service, and repair plans as necessary.
• Maintain long term Equipment Asset replacement plan and ensure budget inclusion of major equipment in MI program.
• Review and monitor rotating equipment conditions including vibration data, lube oil results, IR and Ultrasound data. Utilize critical operating process data to evaluate equipment health.
• Manage ZCLP PdM and MI databases.
• Perform analysis of equipment histories, maintenance costs and system failures; develop a refined asset management strategy.
• Drive the Site Bad Actor Program and Metrics
• Provide relevant vibration, oil analysis, and other PdM data history to support root cause analysis efforts
• Manage 3rdparty MI inspection services Contractors.
• Support the Design for Reliability, Maintainability and Inspectability for new equipment related Projects and equipment designs and ensure all technical documents and supporting drawings, OEM Manuals and other support documents are presented at the commissioning of the Equipment. Ensure new or redesigned equipment is set up in SAP with Equipment Criticality Prioritization and Asset Strategies developed for all Critical Assets.
• Report PdM and MI KPI’s for asset management including cost avoidance, cost savings, PdM monitoring compliance and corrective actions in Reliance database.
• Act as a resource in identification and correction of potential equipment problems.
• Recommend and monitor continuous remote monitoring systems and applications.
• Facilitate equipment root cause failure analysis / pro-active FMECA (RCM)
• Recommend and implement PM optimization.
• Lead Site Spare Parts Strategy based on Equipment Criticalities, lead times, benefit/cost vs. risk analyses.
• Integrate use of Reliability Analytics and Modeling to analyze trends, build models and make projections for probability of failure and Mechanical Availability.

Job Requirements:

A successful candidate will possess the following qualifications:

• Bachelor of Science Degree in Mechanical Engineering
• Minimum of 5 years’ relevant experience in predictive maintenance of rotating equipment with data analysis and database management in chemical/petrochemical facility.
• Minimum of 5 years’ relevant experience in evaluating tank, piping and heat exchanger condition in accordance with ASME, API or STI standards.
• Excellent communication skills, both written and oral.
• Self-motivated, well organized, and possess strong interpersonal skills.
• Willingness to perform “hands on” field work, including testing and troubleshooting.
• Knowledgeable with respect to Microsoft Outlook, Excel and PowerPoint software programs.
• Must have excellent time management skills and be able to multi-task effectively.
• Ability to travel
• Prefer certifications or a minimum of 5 years relevant experience in Vibration Analysis, Oil Analysis, IR Thermography and Ultrasound Analysis.

Proficiency in SAP CMMS preferred (i.e. data mining for equipment with high maintenance costs, equipment with high work orders, evaluating…