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Remote Predictive Maintenance Jobs in Magnolia, TX

New Math Data

Solution Architect

Houston, TX · On-site +1

$60.25 - $79.25/hr

Develop high-throughput data pipelines using Spark, Kafka, and Kinesis for predictive maintenance ... Telecommuting or remote work is acceptable.

New Math Data

Solution Architect

Houston, TX · On-site +1

$60.25 - $79.25/hr

Develop high-throughput data pipelines using Spark, Kafka, and Kinesis for predictive maintenance ... Telecommuting or remote work is acceptable. Employment Type: FULL_TIME

Qcells

Senior Substation Engineer - Level 4

Houston, TX · On-site +1

$145K - $165K/yr

Lead SCADA system integration efforts, supporting remote monitoring, fault detection, and predictive maintenance strategies. Leadership & Team Development * Mentor and train junior engineers ...

Dlapiper

Data Scientist

Houston, TX · On-site +1

Designs data modeling processes to create algorithms and predictive models. Performs custom ... Maintain confidences as required in a law firm environment. Physical Demands Sedentary work: This ...

New

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Gather, clean, and maintain datasets from various sources, ensuring data integrity and accuracy ... Apply statistical methods and predictive modeling techniques to analyze data and forecast future ...

All JobsPredictive Maintenance JobsRemote Predictive Maintenance JobsRemote Predictive Maintenance Jobs in Magnolia, TX

Remote Predictive Maintenance information

See Magnolia, TX salary details

$10

$27

$48

How much do remote predictive maintenance jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote predictive maintenance in Magnolia, TX is $27.02, according to ZipRecruiter salary data. Most workers in this role earn between $19.76 and $32.69 per hour, depending on experience, location, and employer.

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.

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 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.

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 Magnolia, TX?

For Remote Predictive Maintenance jobs in Magnolia, TX, the most frequently searched job titles are:

What job categories do people searching Remote Predictive Maintenance jobs in Magnolia, TX look for?

The top searched job categories for Remote Predictive Maintenance jobs in Magnolia, TX are:

What cities near Magnolia, TX are hiring for Remote Predictive Maintenance jobs?

Cities near Magnolia, TX with the most Remote Predictive Maintenance job openings:

Remote Predictive Maintenance jobs near you

Solution Architect

New Math Data

Houston, TX • On-site, Remote

$60.25 - $79.25/hr

Full-time

Re-posted 5 days ago

Job description

The job duties for the position consist of the following:
  • Design and implement multi-cloud architectures (AWS, Azure, GCP) to enable real-time analytics and AI-driven insights.
  • Develop high-throughput data pipelines using Spark, Kafka, and Kinesis for predictive maintenance, grid optimization, and other data-driven applications.
  • Lead cloud migration projects, optimizing performance, scalability, and cost-efficiency.
  • Ensure data governance, security, and regulatory compliance, including NERC-CIP and GDPR standards.
  • Collaborate with cross-functional teams to align technology solutions with business objectives.
  • Define and document technical design specifications and system implementation guidelines.
  • Evaluate the utility and effectiveness of software and hardware technologies, recommending improvements to enhance system performance.
  • Manage IT projects and system activities, coordinating software installation, configuration, and deployment.
  • Monitor computer system performance to ensure reliability and proper functioning.
  • Identify resource requirements for IT initiatives, including hardware, software, and personnel.
  • Oversee hardware installation and infrastructure integration to support enterprise systems.

Experience Requirements:
  • 6 years of experience in data architecture, cloud solutions, AI/ML.
  • Expertise in AWS, Azure, Python, Scala, and distributed data processing.
  • Experience in energy sector applications (smart grids, IoT, trading platforms)

Degree Requirements:
  • Bachelor's degree with a major in computer science or related field from an accredited institution with six years relevant experience, or a Master's degree, with a major in computer science or related field from an accredited institution.
  • Telecommuting or remote work is acceptable.

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