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Remote Predictive Maintenance Jobs in Seattle, WA

Fortive

Government Contracts Manager

Everett, WA · On-site +1

Location: Open to Remote, United States For candidates living within 50 miles of Fortive ... predictive maintenance, and other mission-critical solutions. We're a force for progress, working ...

BECU

Data Scientist

Tukwila, WA · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... Build Predictive Models: Develop, validate, and deploy statistical and machine learning models that ...

All JobsPredictive Maintenance JobsRemote Predictive Maintenance JobsRemote Predictive Maintenance Jobs in Seattle, WA

Remote Predictive Maintenance information

See Seattle, WA salary details

$14

$35

$64

How much do remote predictive maintenance jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote predictive maintenance in Seattle, WA is $35.93, according to ZipRecruiter salary data. Most workers in this role earn between $26.25 and $43.51 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 the most commonly searched types of Predictive Maintenance jobs in Seattle, WA?

The most popular types of Predictive Maintenance jobs in Seattle, WA are:

What are popular job titles related to Remote Predictive Maintenance jobs in Seattle, WA?

For Remote Predictive Maintenance jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Predictive Maintenance jobs in Seattle, WA look for?

The top searched job categories for Remote Predictive Maintenance jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Predictive Maintenance jobs?

Cities near Seattle, WA with the most Remote Predictive Maintenance job openings:

Remote Predictive Maintenance jobs near you
Infographic showing various Remote Predictive Maintenance job openings in Seattle, WA as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 8% In-person, and 92% Remote job distribution, with an average salary of $74,725 per year, or $35.9 per hour.

Senior Digital Twin and BIM Consultant

Globenet Consulting Corp

Lynnwood, WA • Remote

$70 - $80/hr

Full-time

Posted 23 days ago

Job description

Benefits:
  • Competitive salary
  • Opportunity for advancement
  • Training & development

Senior Digital Twin and BIM ConsultantLocation: US Remote, working Pacific Time hours
Employment Type: Full-Time
Let’s Create Our Future Together at The AES Group
For more than 20 years, The AES Group has connected leading organizations with exceptional technology talent and innovative solutions. Our work across cloud, data, AI, and emerging technologies helps businesses modernize operations, accelerate transformation, and create meaningful impact.
Why Join This Opportunity?
  • Work remotely within the United States
  • Contribute to a major transportation infrastructure program
  • Shape a Digital Twin strategy spanning the complete asset lifecycle
  • Collaborate with multidisciplinary engineering and technology teams
  • Influence long-term infrastructure operations and asset management
About the Role
The AES Group is seeking a Senior Digital Twin and BIM Consultant to define and implement a connected digital ecosystem for a large transportation infrastructure initiative.
The successful professional will bring extensive experience implementing Digital Twin and BIM solutions across bridges, highways, rail, airports, tunnels, transit systems, or other large civil infrastructure programs.
Key Responsibilities
  • Lead Digital Twin strategy, architecture, roadmaps, and implementation across planning, design, construction, operations, and asset management.
  • Develop BIM Execution Plans aligned with ISO 19650 and model-based delivery standards.
  • Establish and manage Common Data Environments for secure, multidisciplinary information exchange.
  • Integrate BIM, GIS, reality capture, IoT sensors, and asset management information into a unified Digital Twin platform.
  • Define use cases for visualization, environmental analysis, public engagement, 4D sequencing, 5D estimating, 6D asset management, and predictive maintenance.
  • Create governance standards, workflows, data structures, and information management processes.
  • Evaluate software architectures and recommend scalable Digital Twin platforms.
  • Promote open BIM standards and consistent digital delivery practices.
  • Mentor engineering and project teams on Digital Twin methodologies.
  • Prepare executive presentations, implementation plans, and strategic recommendations.
Required Qualifications
  • 10+ years of experience delivering Digital Twin, BIM, or digital engineering solutions.
  • Experience supporting transportation or heavy civil infrastructure programs valued above $500 million.
  • Strong knowledge of ISO 19650, BIM Execution Plans, Common Data Environments, information management, and digital delivery.
  • Experience integrating BIM with GIS, IoT, reality capture, or asset management platforms.
  • Understanding of engineering workflows across planning, design, construction, operations, and maintenance.
  • Proven leadership, stakeholder management, presentation, and communication skills.
Preferred Technical Experience
Experience with several of the following:
  • Bentley iTwin, OpenBuildings, ProjectWise, OpenRoads Designer, or Synchro 4D
  • Autodesk Construction Cloud, Civil 3D, Revit, Navisworks, InfraWorks, or BIM 360
  • Esri ArcGIS or Azure Digital Twins
  • IoT platforms and sensor-based monitoring
  • LiDAR, drones, laser scanning, and other reality-capture technologies
  • BIM automation using Python or Dynamo
Additional experience with climate modeling, infrastructure asset management, AI-enabled analytics, predictive maintenance, smart cities, open BIM, transportation standards, and public-sector programs is highly valued.
What Success Looks Like
  • A scalable Digital Twin framework supporting the full infrastructure lifecycle
  • ISO 19650-aligned standards and BIM execution processes
  • Strong governance and a reliable Common Data Environment
  • Improved collaboration across engineering, construction, technology, and operations teams
  • Digital capabilities supporting visualization, climate analysis, engagement, asset performance, and predictive maintenance
Ready to make an impact? Apply now and join us on our journey!

This is a remote position.