Reliability Engineer (Onsite)

RTX•Midland, TX

10h•Onsite

About The Position

Pratt & Whitney is working to once again transform the future of flight—designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we’re seeking the people to drive it. So, calling all curious. Come ready to explore and you’ll find a place where your talent takes flight—beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we’ll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that’s evolving fast to the future. At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond? What You Will Do: The Reliability Engineer will be reporting to the MTS leader and will be working in coordination of the Planner/Unplanned and Materials Technician. This will be a very data driven role, requiring updates/reports and analysis based on the request of management. The Reliability Engineer will play a critical role in asset management and machine sustainability. Asset Management: Review planned maintenance activities, categories machine criticality, assist setting part Min/Max Ratios. Asset identification, critical spares lists, DWA approvals Reliability Analysis: Conduct formal analyses to identify potential failure modes and impact, as well as assist any concerns/updates to daily walk around program. Root Cause Analysis: Investigate root causes of failures (RCCA) and develop strategies to prevent future occurrences Maintenance Integration: Recommend, develop and implement maintenance strategies designed to optimize reliability and minimize downtime. Reliability Testing: Conduct tests and validations to assess system, equipment, and process reliability under various conditions Data Analysis: Analyze equipment performance data, maintenance records, and cost. Continuous Improvement: Identify opportunities to improve maintenance/workflows, resource utilization. Training/skills gaps identification and solutions Predictive Maintenance: Assist Op X team if needed or any related Predictive Maintenance tasks or projects in relation to sustainability, predictability and overall machine health. OEE ( Overall equipment/ Maintenance effectiveness)- Reports generated based on meantime between failure/ average response time/repair and reoccurring issues.

Requirements

Bachelor's degree in Engineering and minimum 5 years’ experience in an engineering, manufacturing operations, continuous improvement, quality or closely related industrial environment or a Master's degree and minimum 3 years' experience in an engineering, manufacturing operations, continuous improvement, quality or closely related industrial environment
Demonstrated technical proficiency in complex manufacturing activities
Understanding of Lean Manufacturing principles (Kaizen events or experience with a continuous improvement programs)
Knowledge of Microsoft Office computer software including Word, Excel, PowerPoint, and Outlook

Nice To Haves

Proficient in SAP
Familiar with Total Productive Maintenance (TPM) principles
Predictive Maintenance experience
Project Management experience

Responsibilities

Review planned maintenance activities, categories machine criticality, assist setting part Min/Max Ratios. Asset identification, critical spares lists, DWA approvals
Conduct formal analyses to identify potential failure modes and impact, as well as assist any concerns/updates to daily walk around program.
Investigate root causes of failures (RCCA) and develop strategies to prevent future occurrences
Recommend, develop and implement maintenance strategies designed to optimize reliability and minimize downtime.
Conduct tests and validations to assess system, equipment, and process reliability under various conditions
Analyze equipment performance data, maintenance records, and cost.
Identify opportunities to improve maintenance/workflows, resource utilization. Training/skills gaps identification and solutions
Assist Op X team if needed or any related Predictive Maintenance tasks or projects in relation to sustainability, predictability and overall machine health.
Reports generated based on meantime between failure/ average response time/repair and reoccurring issues.