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Remote Predictive Maintenance Jobs in Phoenix, AZ

Senior Data Platform Architect

Phoenix, AZ · On-site +1

$63.75 - $85.25/hr

This is a remote position. In this role you would work Monday through Friday normal business hours ... for predictive analytics, clinical decision support, and operational efficiency. 3. Define and ...

Senior Data Platform Architect

Phoenix, AZ · On-site +1

$63.75 - $85.25/hr

This is a remote position. In this role you would work Monday through Friday normal business hours ... for predictive analytics, clinical decision support, and operational efficiency. 3. Define and ...

Time Type: Full time Remote Type: Job Family Group: Commercial Summary: The Category Development ... Conducts descriptive and predictive analysis on velocity, price levels, promotional activities ...

Cyber and Tech Risk UW II

Phoenix, AZ · On-site +1

$110K - $148K/yr

... AI, and predictive analytics. HSB is redefining insurance by focusing on prevention-not just ... Open to all HSB/Munich Re Offices + Remote Options Senior Cyber and Tech Risk About the Role ...

Remote Predictive Maintenance information

See Phoenix, AZ salary details

$12

$31

$55

How much do remote predictive maintenance jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote predictive maintenance in Phoenix, AZ is $31.34, according to ZipRecruiter salary data. Most workers in this role earn between $22.93 and $37.93 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 Phoenix, AZ?

The most popular types of Predictive Maintenance jobs in Phoenix, AZ are:

What are popular job titles related to Remote Predictive Maintenance jobs in Phoenix, AZ?

For Remote Predictive Maintenance jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Predictive Maintenance jobs in Phoenix, AZ look for?

The top searched job categories for Remote Predictive Maintenance jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Remote Predictive Maintenance jobs?

Cities near Phoenix, AZ with the most Remote Predictive Maintenance job openings:

Infographic showing various Remote Predictive Maintenance job openings in Phoenix, AZ 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 $65,197 per year, or $31.3 per hour.

IIoT Solutions Engineer

Bright Vision Technologies

Phoenix, AZ • Remote

$150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

IIoT Solutions Engineer - Remote 
 
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
 
Job Title: IIoT Solutions Engineer
Location: 100% Remote (U.S.) 
Position Type: Full-time, Direct W2 
Salary Range: $100,000–$150,000 Annually 
Experience Required: 6+ years 
 
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
 
Job Summary 
We are seeking an experienced Industrial IoT (IIoT) Engineer to design and build connected, data-driven industrial systems spanning the factory floor to enterprise cloud platforms. In this role you will architect end-to-end IIoT solutions, including edge data acquisition, secure connectivity, cloud ingestion, real-time analytics, and operational dashboards. The ideal candidate will combine strong software engineering skills with practical experience in industrial protocols, edge computing, and cloud IoT platforms. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production. 
Key Responsibilities 
  • Architect end-to-end IIoT solutions spanning edge devices, gateways, connectivity, and cloud platforms. 
  • Design data acquisition pipelines from PLCs, SCADA, and sensors using protocols such as OPC UA, Modbus, MQTT, and Sparkplug B. 
  • Build edge computing applications using AWS IoT Greengrass, Azure IoT Edge, or similar platforms. 
  • Implement secure connectivity using mTLS, certificate management, and zero-trust patterns. 
  • Build cloud ingestion and processing pipelines using AWS IoT Core, Azure IoT Hub, Kafka, or similar. 
  • Develop real-time analytics, anomaly detection, and predictive maintenance models that turn raw telemetry from industrial assets into actionable signals for operators and reliability engineers. 
  • Build operational dashboards and alerts for plant managers and operators. 
  • Integrate IIoT data streams with MES, ERP, CMMS, and historian systems, designing reliable bidirectional flows that maintain consistency between operational technology and enterprise systems of record. 
  • Implement strong device management, including provisioning, OTA updates, and certificate rotation. 
  • Collaborate closely with OT, process engineering, and reliability teams, gathering requirements, aligning on technical approach, and ensuring that delivered solutions meet both functional needs and broader engineering and operational standards. 
  • Ensure compliance with relevant industrial cybersecurity standards (IEC 62443, NIST). 
  • Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time. 
  • Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing, helping the broader team grow in technical maturity and confidence over time. 
  • Continuously evaluate emerging IIoT technologies and platforms, assessing maturity, fit for purpose, and total cost of ownership, and make grounded recommendations on which to adopt, pilot, or defer based on real engineering needs. 
Required Qualifications 
  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline. 
  • Five or more years of IIoT or industrial software engineering experience. 
  • Strong programming skills in Python, C++, or Go. 
  • Hands-on experience with industrial protocols (OPC UA, Modbus, MQTT, Sparkplug B). 
  • Experience with at least one major cloud IoT platform (AWS, Azure, GCP). 
  • Hands-on experience with edge runtimes (Greengrass, IoT Edge). 
  • Solid understanding of OT/IT integration patterns. 
  • Experience with streaming and real-time analytics platforms. 
  • Familiarity with industrial cybersecurity standards. 
  • Excellent troubleshooting, communication, and documentation skills. 
Preferred Qualifications 
  • Experience with digital-twin platforms. 
  • Hands-on experience with predictive maintenance ML models. 
  • Exposure to time-series databases (InfluxDB, TimescaleDB). 
  • Familiarity with Unified Namespace (UNS) patterns. 
  • Industrial certifications (ISA, IEC 62443). 
How to Apply 
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Jenny@bvteck.com or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer. 
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.