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Remote Forest Fire Watch Jobs in Texas (NOW HIRING)

... Python, and remote sensing software. -Working knowledge of relational database concepts ... emphasis in forestry, wildfire science, or fire ecology. -Experience in one or more of the ...

Remote Forest Fire Watch information

What is a remote forest fire watch?

Remote Forest Fire Watch jobs involve monitoring forests and wildland areas for signs of fire, smoke, or other hazards, typically from a lookout station or through remote sensing technology. Workers may use cameras, drones, or satellite feeds to detect potential fires and report them to emergency services or forest management teams. These jobs are crucial for early detection and prevention of wildfires, helping to protect natural resources and nearby communities. The work often requires attention to detail, strong communication skills, and the ability to work independently in isolated or remote settings.

What are the key skills and qualifications needed to thrive as a remote forest fire watch?

To thrive as a Remote Forest Fire Watch, you need strong observational skills, attention to detail, basic knowledge of wildfire behavior, and often a high school diploma or equivalent. Familiarity with communication equipment such as radios, GPS devices, and mapping software is typically required, along with any relevant safety or emergency response certifications. Reliability, self-motivation, and clear communication are crucial soft skills for working independently in isolated environments. These abilities ensure early and accurate detection of forest fires, timely reporting, and the safety of both the environment and local communities.

What are the main challenges faced by a remote forest fire watch, and how can they be addressed?

Remote Forest Fire Watch professionals often contend with extended periods of isolation, unpredictable weather conditions, and the need for high attention to detail over long shifts. Staying alert to subtle changes in the environment is vital to early fire detection, which can be mentally taxing. To address these challenges, organizations typically provide robust communication systems, scheduled check-ins with supervisors, and resources for mental well-being. Regular training and strong support networks also help ensure watch personnel remain vigilant and resilient throughout their shifts.

What is the difference between Remote Forest Fire Watch vs Remote Wildfire Monitoring Technician?

AspectRemote Forest Fire WatchRemote Wildfire Monitoring Technician
CredentialsFire watch certification, GIS knowledgeFire watch certification, GIS and remote sensing skills
Work EnvironmentRemote locations, forested areas, outdoor settingsRemote monitoring centers, outdoor fieldwork, forested regions
Employer & IndustryForestry services, wildfire prevention agenciesEnvironmental agencies, forestry companies, wildfire management
Search & Comparison IntentYesYes

Remote Forest Fire Watch and Remote Wildfire Monitoring Technician roles both involve wildfire prevention and require similar certifications. The main difference lies in their work environment: Fire Watch typically involves outdoor, on-site observation, while Monitoring Technicians often work remotely or in monitoring centers. Both roles are vital in wildfire management and are frequently compared by job seekers in the forestry and environmental sectors.

What are the most commonly searched types of Forest Fire Watch jobs in Texas?

The most popular types of Forest Fire Watch jobs in Texas are:

What job categories do people searching Remote Forest Fire Watch jobs in Texas look for?

The top searched job categories for Remote Forest Fire Watch jobs in Texas are:

What cities in Texas are hiring for Remote Forest Fire Watch jobs?

Cities in Texas with the most Remote Forest Fire Watch job openings:

Infographic showing various Remote Forest Fire Watch job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

Geospatial Analyst II

College Station, TX • On-site, Remote


Texas A&M Forest Service
Colleges, Universities, and Professional Schools • 1 - 5K employees

7.8

Company rating: 7.8 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

233rd of 623 rated colleges and universities

Great coworkers

People enjoy working here

Good employer


$6.0K/mo

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

Job Title

Geospatial Analyst II

Agency

Texas A&M Forest Service

Department

Enterprise Data & Analytics

Proposed Minimum Salary

$6,037.50 monthly

Job Location

College Station, Texas

Job Type

Staff

Job Description

Join Us in the Fight Against Wildfires

Wildfires are becoming more frequent and intense, threatening lives, property, and natural resources in Texas. We need forward-looking problem solvers to help Texas A&M Forest Service (TAMFS) and the citizens of Texas stay ahead of the threat. As part of our integrated technology team in the Applied Technology Department of the Fire and Emergency Response (FERM) Division, you'll have the opportunity to develop data-driven solutions, automate critical workflows, and deliver timely products to enhance wildfire preparedness and response. If you're passionate about using technology to combat wildfires and want to make a tangible impact, we want to hear from you.

Why This Role Matters

In this position, you'll play a crucial role in advancing geospatial and data technologies that improve situational awareness, optimize emergency response, and drive smarter decision-making. From conducting complex geospatial analyses to streamlining data flows, your expertise will help firefighters and emergency managers protect communities and ecosystems across the state.

What You'll Do

-Develop and enhance data-driven solutions that improve wildfire response and resource management.

-Conduct advanced geospatial analyses to address complex wildfire and natural resource challenges.

-Automate workflows to maximize efficiency and improve response times.

-Communicate insights effectively through reports, visualizations, and interactive platforms.

-Compile, process, and manage complex tabular, vector, and raster data sources in support of analyses and applications.

-Support collaboration and program messaging within FERM ]through application of latest technology.

-Participate in agency's geospatial working group, professional development, and collaborate with other agency programs in TAMFS.

-Occasionally support emergency response operations as requested, which may include working extended hours and weekends.

Required qualifications:

-Bachelor's degree in forestry, natural resources, spatial sciences, math, statistics, or related field of study.

-Minimum of 4 years in geospatial analysis, statistical analysis, or similar, in either an academic or professional setting. An advanced degree may substitute for experience.

-Strong working knowledge of concepts and processes of data analysis including creating, organizing, manipulating, maintaining, analyzing, and visualizing data.

-Analytical skills in at least one of the following areas: environmental geospatial modeling, remote sensing, and/or spatial statistics.

-Ability to work independently and use sound judgment to find solutions to common, complex problems.

-Ability to manage projects effectively.

-Ability and desire to keep abreast of new developments and standards in geospatial technology and analysis.

-Proficient in MS Office, ArcGIS Pro, Python, and remote sensing software.

-Working knowledge of relational database concepts.

-Demonstrated problem solving and critical thinking skills.

-Ability to communicate work to both technical and non-technical audiences, with effective oral, written, and visual modes of communication.

-Ability to work effectively as part of a team.

Preferred qualifications:

-Graduate degree in forestry, natural resources, spatial sciences, math, statistics, or related field of study.

-Experience with or interest in natural resources, especially with emphasis in forestry, wildfire science, or fire ecology.

-Experience in one or more of the following areas: wildland fuels mapping, wildfire response field support, land use/land cover change detection, LiDAR.

-Proven experience with Python and/or R.

-Working knowledge of Google Earth Engine.

-Working knowledge of Power Automate and Power BI.

-Experience with machine learning and advanced statistical techniques.

Opportunities:

-Grow professionally by attending conferences and utilizing learning resources.

-Make meaningful contributions as an integral part of a team.

-Develop leadership skills and experience.

-Explore new and emerging technologies to help the agency be more effective.

-Move up quickly with an established career ladder with corresponding pay increases.

-Work on a wide variety of projects, with ability to contribute to vision and direction.

-Help determine direction of agency's geospatial work.

-Interact and collaborate with professionals across a broad array of natural resource and emergency management related backgrounds.

Texas A&M Forest Service offers a competitive benefits package including medical, dental, vision, life, and long-term disability insurance, retirement benefits, paid time off, and health and lifestyle programs as well as educational incentives and tuition reimbursement opportunities.

For more information about Texas A&M Forest Service and our careers, please visit https://tfsweb.tamu.edu/careers. Come grow with us!

Applicant Instructions:

Resume, cover letter and transcript(s) are REQUIRED to be uploaded to application.References are required to be entered in the secondary questionnaire section of the application. Certifications are preferred to be uploaded to the application. Documents/certifications can be uploaded in the "My Experience" page in the "Resume/CV section. More than one document can be uploaded; just click the "Upload" button for each document. Documents can only be loaded at this time and cannot be uploaded once the application is submitted. If there are any issues uploading documents, please contact 979-458-6690. Please check your spam folder in case more information is sent in regards to this position.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution's verification of credentials and/or other information required by the institution's procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.



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