Location of Services: Horne Payne Office

Estimated Work Start Date: 06-Jan-2025
Estimated Work End Date: 30-Apr-2026

Max INC Rate: $55.80
Max T4 Rate: $47.29

General Description

The Maintenance and Reliability Engineer – E2 performs supervised maintenance and reliability engineering tasks for assignments of limited scope and complexity using standard procedures and techniques to support projects and/or operations safely, with quality, within budget, and on time.

Experience and Role Accountabilities

• A minimum of three (3) years of engineering experience, including some time working in the reliability field, or equivalent.

• Contribute to the reliable operations of equipment and systems by applying appropriate maintenance strategies, including preventative, predictive, condition-based, and operate-to-fail safely, with quality, within budget, and on time.

• Assist with specific aspects of more complex reliability and maintenance engineering activities adhering to prescribed methods and techniques by following established practices working under close supervision of a senior professional engineer who reviews work for accuracy, adequacy, and conformance with prescribed procedures.

• Participate in engineering practice using initiative and judgment in making a few routine technical decisions, applying standards, and following detailed instructions to maintain engineering standards.

• Perform periodic tasks independently by using engineering drawings, equipment manuals, reliability tools, and maintenance software.

Education and Skills

• Bachelor’s degree in a relevant engineering discipline such as electrical, mechanical, chemical, industrial, civil, or equivalent

• Junior Engineer (not registered yet)

• Good working knowledge and basic experience in the following areas:

  • Operation, maintenance, and failures of equipment and systems in the power utility industry, oil and gas industry, or heavy industrial environment

  • Reading and understanding drawings and manuals to articulate how a system works, how the system can fail, and what needs to be done to prevent failures from either a design or maintenance standpoint

  • Various types of predictive and condition-based maintenance technologies and their application

• Basic knowledge of the following:

  • Computerized Maintenance Management Systems (CMMS)

  • Reliability tools, including Failure Modes/Effect Analysis (FMEA), Reliability Center Maintenance (RCM), Reliability Block Diagrams (RBD), or Fault Tree Analysis (FTA)

• Intermediate MS Office skills (Word, Excel, and PowerPoint)

• Intermediate English skills for a professional environment, written and spoken

Objectives

Develop Routine Substation Inspections

• Use onboard cameras to scan equipment for visible signs of wear, corrosion, or physical damage (e.g., loose connections, rust, cracked components).

• Utilize thermal imaging to monitor temperatures of critical components, such as transformers and circuit breakers, and identify anomalies like hot spots.

• Use onboard microphones to listen for unusual noises, including humming, buzzing, or arcing sounds, and report any anomalies.

Fire Risk Assessment and Response Preparedness

• Patrol areas identified as high-risk for potential fires, such as sections with vegetation overgrowth, near cooling oil tanks, or high-voltage connections.

• Record data using thermal cameras and gas sensors for early detection of elevated temperatures or gas leaks (e.g., smoke, carbon monoxide).

Test Emergency Response Protocol

• Perform a simulated fire response routine, which involves navigating through the substation and collecting data for the control room.

• Report any obstacles or issues with movement or data collection during the response routine.

• Transfer all collected data from visual, thermal, and auditory sensors to the central control system after each patrol.

Incident Alert

• Post-process digital data from LiDAR scans in the required file formats from Engineering Survey, Project Delivery, PCM, Operations, etc.

• If any abnormalities are detected, generate an immediate alert and provide a report detailing the findings (including timestamped images and sensor readings).

• A human supervisor should review data collected after each patrol.

• Maintenance personnel must be available for any technical issues reported.

Requirements

Must-Have:

• Recent graduate with a degree in Mathematics, Physics, or Computer Science

• Experience with Python scripting, C coding, and command-line operations in a UNIX-like OS

• Experience in LiDAR scanners and processing software

Nice-to-Have:

• Programming microcontrollers, such as Arduino or Raspberry Pi

• Familiarity with position encoders, cameras, force sensors, and other robotic sensors

• Experience with communication interfaces, such as Ethernet, PCIe, CAN, SPI, and I2C