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Remote Maintenance Manager Jobs in Reston, VA (NOW HIRING)

CPMC LLC

Project Manager (Remote)

Tysons Corner, VA · Remote

Maintain standard working hours per the contract and to be available for meetings, and other ... Experience as a remote worker demonstrating time management and self discipline with cultural ...

Solid Rock Recruiting LLC

Remote Tax Senior

Bethesda, MD · Remote

$101K - $135K/yr

Lead and manage multiple tax engagements, ensuring timely and accurate filings for corporations ... Build and maintain strong client relationships, acting as a trusted advisor on tax-related matters.

Solid Rock Recruiting LLC

Remote Tax Senior

Washington, DC · Remote

$101K - $135K/yr

Lead and manage multiple tax engagements, ensuring timely and accurate filings for corporations ... Build and maintain strong client relationships, acting as a trusted advisor on tax-related matters.

ICF

Contracts Manager (Remote)

Reston, VA · Remote

$92.60K - $123.80K/yr

This position is 100% Remote in the 48 contiguous United States. Responsibilities : * Provide ... Maintain all required contractual documentation. * Successful candidates will have expertise ...

ICF International, Inc.

Contracts Manager (Remote)

Reston, VA · On-site +1

$92.60K - $123.80K/yr

This position is 100% Remote in the 48 contiguous United States. Responsibilities : * Provide ... Maintain all required contractual documentation. * Successful candidates will have expertise ...

ICF

Contracts Manager (Remote)

Reston, VA · Remote

$92.60K - $123.80K/yr

We have an opening for a Contracts Manager supporting our growing and dynamic Utility Program ... Maintain all required contractual and price/business volume documentation. Review and negotiate non ...

ICF International, Inc.

Contracts Manager (Remote)

Reston, VA · On-site +1

$92.60K - $123.80K/yr

We have an opening for a Contracts Manager supporting our growing and dynamic Utility Program ... Maintain all required contractual and price/business volume documentation. • Review and negotiate ...

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How much do remote maintenance manager jobs pay per hour?

As of May 30, 2026, the average hourly pay for remote maintenance manager in Reston, VA is $32.84, according to ZipRecruiter salary data. Most workers in this role earn between $23.99 and $39.76 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Maintenance Manager, you need strong expertise in equipment maintenance, troubleshooting, and facility management, typically supported by a degree in engineering or a related field and relevant industry experience. Familiarity with Computerized Maintenance Management Systems (CMMS), remote monitoring tools, and certifications like Certified Maintenance Manager (CMM) are highly valuable. Leadership, effective communication, and problem-solving skills are essential for coordinating teams and managing issues from a distance. These competencies ensure efficient maintenance operations, minimize downtime, and facilitate seamless remote supervision.

How does a Remote Maintenance Manager effectively coordinate with on-site teams to ensure equipment uptime?

As a Remote Maintenance Manager, you will rely heavily on strong communication and digital collaboration tools to monitor equipment performance and guide on-site teams. You’ll regularly review maintenance logs, analyze sensor data, and schedule virtual meetings to discuss priorities and troubleshoot issues in real time. Building trust with on-site staff and establishing clear protocols for emergency response are essential. This role often requires proactive planning to minimize downtime and facilitate seamless handoffs between remote and local team members.

What is a Remote Maintenance Manager?

A Remote Maintenance Manager oversees the maintenance operations of equipment, facilities, or systems from a remote location using digital tools and communication platforms. They coordinate maintenance teams, schedule preventive maintenance, address equipment issues, and monitor performance data without being physically present onsite. This role often involves utilizing advanced technology such as IoT sensors, maintenance management software, and remote diagnostics to ensure efficient and reliable operations. Remote Maintenance Managers are essential in industries with distributed assets or sites, such as manufacturing, utilities, and telecommunications.

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

AspectRemote Maintenance ManagerRemote Maintenance Technician
CredentialsTypically requires a bachelor's degree in engineering or related field, with certifications like HVAC or electrical licensesUsually holds technical certifications or vocational training in specific maintenance skills
Work EnvironmentOversees maintenance operations remotely, manages teams, and plans maintenance schedulesPerforms hands-on maintenance tasks remotely or on-site, troubleshooting equipment
Employer & Industry UsageCommon in manufacturing, facilities management, and industrial sectorsFound in similar industries, often working alongside managers or independently

The Remote Maintenance Manager focuses on overseeing maintenance operations remotely, managing teams, and planning schedules, while the Remote Maintenance Technician handles hands-on troubleshooting and repairs, often working directly with equipment. Both roles require technical knowledge, but managers focus on coordination and oversight, whereas technicians emphasize practical maintenance skills.

What job categories do people searching Remote Maintenance Manager jobs in Reston, VA look for? The top searched job categories for Remote Maintenance Manager jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Maintenance Manager jobs? Cities near Reston, VA with the most Remote Maintenance Manager job openings:
Remote Maintenance Manager jobs near you

Remote Sensing Engineer

Riverside Research Institute

Fairfax, VA • On-site, Remote

$150K - $180K/yr

Full-time

Posted 14 days ago

Job description

Riverside Overview
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
Riverside Research's Cognitive Intelligence Solutions Group (CISG) is seeking a Remote Sensing Engineer to support cutting-edge geospatial intelligence, autonomous sensing, and AI/ML-driven data exploitation efforts for the U.S. Department of Defense and Intelligence Community. The successful candidate will serve as a technical lead responsible for the automated verification and validation (V&V), test and evaluation (T&E), and performance assessment of remote sensing data pipelines, AI/ML models, and third-party vendor capabilities. This role bridges rigorous scientific methodology with production-grade engineering, enabling CISG to deliver validated, mission-ready geospatial intelligence products. The ideal candidate combines deep expertise in multispectral and hyperspectral remote sensing with hands-on experience applying machine learning to operational geospatial workflows.
This position is located in Fairfax, VA.
#LI-Onsite
Responsibilities
  • Design, develop, and implement automated V&V and T&E frameworks to assess the accuracy, performance, and operational readiness of remote sensing data products, AI/ML models, and vendor-delivered geospatial capabilities.
  • Lead the technical evaluation of commercial and government remote sensing platforms, sensors (multispectral, hyperspectral, SAR, LiDAR), and associated data products against mission-specific requirements.
  • Develop and maintain scalable, production-grade machine learning pipelines for geospatial applications including change detection, land cover classification, object detection, and environmental monitoring.
  • Apply state-of-the-art AI/ML techniques - including deep learning, transfer learning, self-supervised learning, and large vision/language models - to automate remote sensing data exploitation and analysis workflows.
  • Conduct rigorous uncertainty quantification, validation metric development, and statistical performance benchmarking across multi-source, multi-temporal geospatial datasets.
  • Architect and execute data quality assessment (DQA) protocols for ingested satellite, airborne, and in-situ sensor data; document and communicate findings to program teams and stakeholders.
  • Collaborate with program managers, government customers, and interdisciplinary engineering teams to translate operational requirements into validated technical solutions.
  • Evaluate and integrate emerging remote sensing technologies and open-source AI/ML frameworks; assess vendor claims, algorithm documentation, and technical data packages.
  • Contribute to IRAD initiatives advancing CISG's remote sensing and autonomous sensing capabilities, including development of novel approaches for environmental monitoring, target detection, and geospatial change analytics.
  • Author technical reports, white papers, and briefings documenting methodology, V&V results, and performance findings for government sponsors.
  • Provide technical mentorship to junior engineers and researchers on remote sensing methods, ML best practices, and geospatial data science.
  • Stay current with advances in foundation models, multi-modal geospatial AI, and emerging remote sensing sensor modalities relevant to national security applications.

Qualifications
Required Qualifications:
  • Active U.S. Citizenship (required for all Riverside Research positions).
  • Must be able to obtain and maintain a Top Secret security clearance with SCI access; ability to obtain program-specific clearances as required. Candidates with an active TS/SCI are strongly preferred.
  • Bachelor's degree in Remote Sensing, Geospatial Science, Earth Systems, Electrical Engineering, Computer Science, or a closely related STEM field.
  • A minimum of 8 years of related experience with a Bachelor's degree, 6 years with a Master's degree, 3 years with a PhD, or equivalent combination of education and experience. Graduate research experience counts toward this threshold.
  • Demonstrated expertise in multispectral and/or hyperspectral remote sensing data analysis, including atmospheric correction, spectral indices, spectral unmixing, and feature extraction.
  • Proficiency in Python for geospatial data engineering, including experience with rasterio, rioxarray, xarray, GDAL, geopandas, NumPy, and scikit-learn.
  • Hands-on experience with machine learning and statistical modeling applied to remote sensing or geospatial datasets (e.g., classification, regression, anomaly detection, change detection).
  • Experience developing and executing V&V or T&E processes for data products, software systems, or AI/ML models, including design of test plans, performance metrics, and acceptance criteria.
  • Familiarity with geospatial platforms and tools: ArcGIS Pro, QGIS, ENVI, and/or Google Earth Engine.
  • Experience with cloud-based geospatial workflows (AWS, Google Cloud, or Azure) and version control practices (Git/GitLab/GitHub).
  • Strong written and verbal communication skills with demonstrated ability to present complex technical findings to both technical and non-technical audiences.

Desired / Preferred Qualifications:
  • Active Top Secret/SCI clearance - candidates who already hold an active TS/SCI will be given strong preference and can expect an accelerated onboarding timeline.
  • Experience supporting DoD, Intelligence Community, or national security remote sensing programs (NRO, NGA, AFRL, ARO, or equivalent).
  • Familiarity with hyperspectral sensing platforms (e.g., AVIRIS, PRISMA, orbital hyperspectral systems) and hyperspectral analytics pipelines including mineral characterization and vegetation health assessment.
  • Experience applying deep learning frameworks (PyTorch, TensorFlow, Hugging Face) to geospatial or computer vision tasks, including fine-tuning foundation models or geospatial FMs (e.g., Prithvi, SatMAE, Clay).
  • Background in SAR processing, LiDAR analysis, or multi-modal sensor fusion for environmental or intelligence applications.
  • Experience with automated testing frameworks, CI/CD pipelines, and MLOps practices for geospatial AI/ML systems.
  • Track record of peer-reviewed publication, conference presentations (e.g., IGARSS, AGU, SPIE), or technical reports in remote sensing or geospatial AI.
  • Demonstrated experience in a lead or senior individual contributor role, including mentorship of junior technical staff and coordination across multi-disciplinary teams.
  • Familiarity with GEOINT tradecraft, NSDI standards, or DoD geospatial data standards (NTM, NITF, STANAG imagery formats).

Global Comp
$115,000 - $200,000 This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.

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