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# Reliability Engineer

- **Company:** Saint-Gobain
- **Location:** Houston, TX, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Computerized Maintenance Management Systems, Failure Mode Effects Analysis, Supervisory Control and Data Acquisition (SCADA), Reliability Engineering, Power BI, SAP (Applications), SAP NetWeaver Data Management, SAP Plant Maintenance, Mttr, Data Analytics, Performance Monitor
- **Published:** August 29, 2026
- **Apply:** https://www.houstonjobsite.com/job.asp?id=3369492387&tx=KR5151FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Mechanical, Industrial, Electrical Engineering, or related technical discipline preferred; equivalent technical education and industrial experience may be considered.

Experience

 * Five-plus (5+) years of reliability, maintenance, engineering, or manufacturing experience preferred.

Technical Knowledge & Skills

 * Experience with CMMS/SAP PM, Power BI or data analytics, PM/PdM, RCA, reliability metrics, rotating equipment, conveyors, dust-collection, automated packaging, chemical dosing, PLCs, SCADA, industrial networking, data historians, IIoT or connected asset technologies preferred.
 * Knowledge of OT cybersecurity, lifecycle asset management, FMEA, MTBF/MTTR, risk-based maintenance, and continuous improvement is desirable.
 * CMRP, CRE, CRL, vibration analysis, or Six Sigma certification is a plus.

## Description

* Lead reliability improvements for critical manufacturing assets, including shredders, mills, conveyors, dust-collection, chemical dosing, automated bagging, and related support systems.
 * Develop and maintain a long-term Asset Reliability Roadmap aligned with plant objectives, business priorities, capital planning, and operational excellence goals.
 * Use maintenance history, CMMS/SAP data, downtime trends, equipment health information, and reliability metrics to prioritize risks, corrective actions, and asset lifecycle decisions.
 * Support digital manufacturing and Industry 4.0 initiatives through predictive maintenance technology, IIoT sensors, real-time monitoring, dashboards, and connected asset tools.
 * Partner with Maintenance, Operations, Engineering, Automation, EHS, and contractors to improve equipment reliability, diagnostics, maintainability, safety, quality, and production performance., * Design, implement, and sustain reliability-centered maintenance strategies, including PM optimization, equipment criticality, inspection standards, lubrication practices, failure mode reviews, and risk-based maintenance.
 * Lead root cause failure analysis and corrective-action follow-up for high-impact or recurring equipment failures affecting safety, quality, cost, or production.
 * Implement and utilize predictive maintenance technologies such as vibration analysis, infrared thermography, ultrasound, online condition monitoring, and equipment health monitoring systems.
 * Integrate reliability data into SAP, CMMS, Power BI, and other business intelligence tools to improve visibility, decision making, KPI tracking, and maintenance effectiveness.
 * Apply advanced reliability methods such as MTBF/MTTR analysis, FMEA, Weibull analysis, lifecycle cost analysis, asset lifecycle planning, and equipment replacement strategies.
 * Collaborate with automation and controls teams to improve PLC/SCADA diagnostics, alarm management, data historian use, industrial networking, and real-time asset performance monitoring.
 * Identify opportunities to improve sustainability, energy efficiency, environmental performance, spare parts strategy, and equipment obsolescence management through reliability initiatives.


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