2

Remote Spatial Analysis Jobs (NOW HIRING)

Primary Duties * Lead and perform spatial analysis for projects requiring advanced methods ... Conduct data integration from GPS, CAD, remote sensing, and third-party sources into GIS databases.

Primary Duties * Lead and perform spatial analysis for projects requiring advanced methods ... Conduct data integration from GPS, CAD, remote sensing, and third-party sources into GIS databases.

Geospatial Solutions Architect

$64.50 - $85/hr

Experience with spatial analysis, remote sensing, and geospatial AI/ML applications is required. * Possess the knowledge and capability to design and implement geospatial visualization solutions ...

Planning & GIS Analyst

Pueblo, CO · On-site +1

$5K - $8K/mo

... and spatial analysis methods. Presents reports and other findings to staff, planning, and zoning ... Remote & Hybrid working opportunities County Retirement Program Autonomy to grow and find your ...

Geospatial Solutions Architect

$64.50 - $85/hr

Experience with spatial analysis, remote sensing, and geospatial AI/ML applications is required. * Possess the knowledge and capability to design and implement geospatial visualization solutions ...

Geospatial Solutions Architect

$64.50 - $85/hr

Experience with spatial analysis, remote sensing, and geospatial AI/ML applications. Preferred Qualifications * ESRI ArcGIS Desktop Associate or GISP certification. Required Education and Experience ...

This is a full-time position located remote within the United States (option for remote/office ... Experience preparing data for integrated visualization and spatial analysis in platforms such as ...

This is a full-time position located remote within the United States (option for remote/office ... Experience preparing data for integrated visualization and spatial analysis in platforms such as ...

next page

Showing results 1-20

Remote Spatial Analysis information

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

To thrive as a Remote Spatial Analyst, you need a strong background in geography, GIS, remote sensing, and data analysis, often supported by a relevant degree. Proficiency with GIS software (like ArcGIS or QGIS), remote sensing platforms, and scripting languages such as Python or R is typically required. Analytical thinking, attention to detail, and effective communication are essential soft skills that set top performers apart. These competencies are critical for accurately interpreting spatial data, delivering actionable insights, and collaborating effectively with multidisciplinary teams.

What are some common challenges faced by professionals in remote spatial analysis roles, and how can they be addressed?

Remote spatial analysts often face challenges related to data accessibility, communication across distributed teams, and ensuring data security. Working with large geospatial datasets remotely can require advanced data management tools and reliable internet connections. Effective collaboration with colleagues in different locations is crucial, so leveraging cloud-based GIS platforms and regular virtual meetings can help maintain project momentum. Staying up to date with the latest remote sensing technologies and best practices also helps overcome technical obstacles and enhances productivity.

What is remote spatial analysis?

Remote spatial analysis refers to the process of examining and interpreting spatial data collected from a distance, often using technologies such as satellite imagery, aerial photography, and geographic information systems (GIS). Professionals in this field use specialized software to analyze patterns, changes, and relationships in the data to support decision-making in fields such as environmental science, urban planning, agriculture, and disaster management. Remote spatial analysis enables organizations to monitor large or inaccessible areas, identify trends, and make data-driven decisions without being physically present at the location of interest.

What is the difference between Remote Spatial Analysis vs Remote GIS Specialist?

AspectRemote Spatial AnalysisRemote GIS Specialist
CredentialsDegree in Geography, GIS, or related field; certifications like GISPSimilar credentials; often holds GIS certifications
Work EnvironmentData analysis, modeling, and interpretation primarily using GIS softwareData management, map creation, and spatial data handling
Industry UsageUsed across urban planning, environmental science, transportationCommon in government agencies, environmental firms, utilities
Search & Comparison IntentUnderstanding analysis techniques and data interpretationFocus on map creation and spatial data management

Remote Spatial Analysis involves analyzing spatial data to derive insights, often focusing on modeling and data interpretation. Remote GIS Specialist emphasizes managing spatial data, creating maps, and maintaining GIS databases. While both roles require similar credentials and work environments, their core tasks differ: analysis versus data management. Understanding these distinctions helps job seekers target the right roles in the GIS industry.

What cities are hiring for Remote Spatial Analysis jobs? Cities with the most Remote Spatial Analysis job openings:
What are the most commonly searched types of Spatial Analysis jobs? The most popular types of Spatial Analysis jobs are:
What states have the most Remote Spatial Analysis jobs? States with the most job openings for Remote Spatial Analysis jobs include:

$117K - $152K/yr

Other

Posted 6 days ago


Job description

Freedom Technology Solutions Group is seeking a Software Engineer (Backend Developer) to support our client's intelligence analysis products and capabilities. This position involves providing software development capabilities to enhance existing and emerging client capabilities, including design and development, modernization of existing applications and services, and operations and sustainment. The role focuses on driving the client's adaptation of higher levels of automation and operational efficiency through agile development methodologies, rapid prototyping, and modern technology stacks. The Senior Backend Developer provides comprehensive knowledge across multiple backend and cloud technologies, leading major assignments and guiding project outcomes. Functions as a technical expert and may lead teams of developers.

Responsibilities: 
  • Lead the design, development, and deployment of enterprise-scale backend services. 
  • Architect and optimize secure DevSecOps pipelines and automated testing frameworks. 
  • Direct the migration, scaling, and modernization of applications in AWS environments. 
  • Drive geospatial solution integration across enterprise applications. 
  • Define technical standards, coding guidelines, and best practices. 
  • Supervise development teams and provide technical mentorship. 
  • Evaluate performance results and recommend project-wide improvements. 
  • Support proposal writing, technical white papers, and client briefings. 
Qualifications: 
  • 9-13 years of backend development experience. 
  • Expert proficiency in Java, JavaScript, and/or Python. 
  • Proven leadership in DevSecOps adoption and Agile/SAFe development frameworks. 
  • Advanced AWS expertise, including architecture and deployment of containerized applications. 
  • Deep experience with geospatial systems and enterprise integration. 
  • Strong ability to plan, manage, and deliver complex technology assignments. 
  • Using GitLab for code source repository and using GitLab CI/CD.
  • Developing customized code, scripts, modules, macro procedures, or libraries for specialized spatial analysis functions using languages such as Python, Java, JavaScript, PHP, C, C++, C#, Perl, or similar.
  • Experience working independently with clients or stakeholders to develop user stories for full-service consumer and business applications.
  • Experience with government and/or commercial imagery products, including SAR or related RADAR imaging technologies.
  • Developing geospatial information systems (GIS) and working with open-source and proprietary geospatial formats.
  • Using and developing common geospatial tools, data, and operating platforms such as:

    Tools: Boundless Spatial suite, Remote View, PostGRES/PostGIS, Oracle Spatial, ArcGIS Desktop, ArcGIS Server, Image Server, File Geodatabases

    Data Formats: KML, KMZ, NITF, TIFF, JPEG, GeoPDF, and similar geo-related formats and data structures

  • Abstracting new or legacy systems via standards-based APIs, including Open Geospatial Consortium standards
  • Developing terrain analysis visualization and algorithms
  • Developing automated detection algorithms
  • Experience with Argo Workflows