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Remote Predictive Maintenance Jobs in Portland, OR

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Classification and regression on tabular and sensor data, predictive maintenance and failure ...

Portalnd, Oregon - with 75% overnight travel Under remote supervision, Advanced Sterilization ... predictive maintenance, and other mission-critical solutions. We're a force for progress, working ...

... maintaining Python in a production environment. * You possess a strong foundation in traditional predictive machine learning (e.g., classification, regression, tree-based models like XGBoost) and ...

Remote Predictive Maintenance information

See Portland, OR salary details

$13

$33

$59

How much do remote predictive maintenance jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote predictive maintenance in Portland, OR is $33.48, according to ZipRecruiter salary data. Most workers in this role earn between $24.47 and $40.53 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Predictive Maintenance specialist, and why are they important?

To thrive as a Remote Predictive Maintenance Specialist, you need a solid background in engineering or industrial maintenance, along with expertise in data analysis and condition monitoring. Familiarity with predictive maintenance software, IoT sensors, and data visualization tools is typically required, and certifications such as Certified Maintenance & Reliability Professional (CMRP) are advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help specialists interpret data and coordinate with on-site teams. These skills ensure accurate diagnosis of equipment issues, minimize downtime, and optimize asset performance in remote industrial environments.

How does a Remote Predictive Maintenance specialist typically collaborate with onsite teams to resolve equipment issues?

A Remote Predictive Maintenance specialist works closely with onsite maintenance and engineering teams by analyzing machine data, identifying potential issues before they lead to failures, and communicating actionable insights. Collaboration often involves regular virtual meetings, sharing real-time dashboards, and providing detailed reports or recommendations. The specialist may also guide onsite staff through troubleshooting steps or suggest preventive measures to minimize downtime, ensuring seamless integration between remote monitoring and hands-on repairs.

What is remote predictive maintenance?

Remote predictive maintenance is a technology-driven approach that uses sensors, data analytics, and machine learning to monitor equipment performance and predict potential failures before they occur, all from a remote location. This allows maintenance teams to address issues proactively, reducing unplanned downtime and maintenance costs. By leveraging real-time data and remote monitoring, organizations can improve equipment reliability, optimize maintenance schedules, and ensure safer operations, even without being physically present at the equipment site.

What is the difference between Remote Predictive Maintenance vs Remote Maintenance Technician?

AspectRemote Predictive MaintenanceRemote Maintenance Technician
CredentialsTechnical certifications in predictive analytics, IoT, or condition monitoringTechnical certifications in general maintenance, HVAC, electrical, or mechanical systems
Work EnvironmentPrimarily remote, using sensors, software, and data analysis toolsPrimarily remote or on-site, focusing on repairing and maintaining equipment
Industry UsageManufacturing, energy, utilities, and industrial sectorsManufacturing, facilities management, and industrial sectors

Remote Predictive Maintenance specialists focus on analyzing data remotely to predict equipment failures, while Remote Maintenance Technicians perform repairs and routine maintenance, often on-site. Both roles require technical skills, but predictive maintenance emphasizes data analysis and remote diagnostics, whereas maintenance technicians focus on hands-on repairs.

What are popular job titles related to Remote Predictive Maintenance jobs in Portland, OR? For Remote Predictive Maintenance jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Remote Predictive Maintenance jobs in Portland, OR look for? The top searched job categories for Remote Predictive Maintenance jobs in Portland, OR are:
What cities near Portland, OR are hiring for Remote Predictive Maintenance jobs? Cities near Portland, OR with the most Remote Predictive Maintenance job openings:

Senior Digital Twin and BIM Consultant

The AES Group

Portland, OR • Remote

Full-time

Posted 25 days ago


Job description

Role: Senior Digital Twin and BIM Consultant
Location: US Remote - PST hours
Role typr: C2H/FTE

Let’s create our future together at The AES Group!
About The AES Group:

The AES Group is a premier technology consulting company that has been bringing businesses and talent together for over 20 years to deliver the most innovative technology solutions that create the most positive impact on society. AES has helped over 40 business enterprises, including Fortune 500 companies, engage their customers, empower their employees, and transform their business operations with the power of cloud, data, AI, and other emerging technologies. 

About the Opportunity

We are seeking an experienced Senior Digital Twin and BIM Consultant to support one of the largest transportation infrastructure initiatives in North America. This role will help define and implement a Digital Twin strategy for a major interstate bridge replacement program, enabling a connected digital ecosystem that spans planning, design, construction, operations, and long-term asset management.

The ideal candidate has successfully implemented Digital Twin or BIM solutions on large civil infrastructure projects such as bridges, highways, rail, airports, tunnels, or other transportation megaprojects.

Responsibilities

  • Lead Digital Twin strategy and implementation for large infrastructure programs.
  • Develop Digital Twin architecture supporting the full asset lifecycle.
  • Define and implement BIM Execution Plans (BEP) aligned with ISO 19650 standards.
  • Establish and manage Common Data Environments (CDE) for multidisciplinary collaboration.
  • Integrate BIM, GIS, reality capture, IoT sensor data, and asset management information into a unified Digital Twin platform.
  • Collaborate with owners, engineering firms, contractors, and technology partners.
  • Develop Digital Twin use cases supporting:
    • Planning and environmental analysis
    • Public engagement and visualization
    • Design collaboration
    • Construction sequencing (4D)
    • Cost estimating (5D)
    • Asset management (6D)
    • Predictive maintenance
    • Sensor-based monitoring
  • Develop standards, governance, workflows, and information management processes.
  • Support software architecture evaluations and recommend Digital Twin technology platforms.
  • Guide implementation of open BIM standards and model-based project delivery.
  • Mentor engineering and project teams on Digital Twin best practices.
  • Support executive presentations and Digital Twin roadmap development.

Required Qualifications

  • 10+ years of experience delivering Digital Twin and BIM solutions.
  • Experience on transportation or heavy civil infrastructure projects exceeding $500M.
  • Demonstrated experience with:
    • Digital Twin implementation
    • Building Information Modeling (BIM)
    • ISO 19650
    • Common Data Environments
    • Information Management
    • Digital Delivery
  • Experience working with:
    • Bridges
    • Highways
    • Rail
    • Airports
    • Transit systems
  • Strong understanding of engineering workflows across planning, design, construction, and operations.
  • Experience integrating BIM with GIS and asset management platforms.
  • Excellent stakeholder communication and leadership skills.

Preferred Qualifications

Experience with one or more of:

  • Bentley OpenBuildings
  • Bentley iTwin
  • Autodesk Construction Cloud
  • Autodesk Civil 3D
  • Autodesk Revit
  • Navisworks
  • ProjectWise
  • Esri ArcGIS
  • OpenRoads Designer
  • Synchro 4D
  • InfraWorks
  • BIM 360
  • Azure Digital Twins
  • IoT platforms
  • Reality capture (LiDAR, drones, laser scanning)
  • BIM automation using Python or Dynamo

Preferred Industry Experience

Candidates with experience on projects similar to:

  • Interstate bridge replacement
  • Highway modernization
  • Airport expansion
  • Rail infrastructure
  • Smart cities
  • Digital delivery transformation
  • Transportation agencies (DOTs)
  • WSP
  • Jacobs
  • AECOM
  • HDR
  • HNTB
  • Parsons
  • AtkinsRéalis
  • Arup

Nice-to-Have Experience

  • Climate impact modeling
  • Equity impact analysis
  • Infrastructure asset management
  • Predictive maintenance
  • IoT sensors
  • AI-enabled infrastructure analytics
  • Model-based delivery
  • Open BIM standards
  • Public agency consulting
  • FHWA, or AASHTO standards

What Success Looks Like

  • Develop a scalable Digital Twin framework supporting planning through operations.
  • Implement standards aligned with ISO 19650 and BIM Execution Plans.
  • Improve collaboration across owners, designers, contractors, and operators.
  • Establish a robust Common Data Environment and governance framework.
  • Deliver Digital Twin capabilities that support visualization, lifecycle asset management, climate analysis, stakeholder engagement, and predictive maintenance.