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Remote Geospatial Jobs in Springfield, OH (NOW HIRING)

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Remote Geospatial information

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$17

$26

$42

How much do remote geospatial jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote geospatial in Springfield, OH is $26.25, according to ZipRecruiter salary data. Most workers in this role earn between $20.34 and $30.53 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Remote Geospatial position, and why are they important?

To excel as a Remote Geospatial professional, a strong background in geographic information systems (GIS), spatial data analysis, and cartography is typically required, often supported by a degree in geography, environmental science, or a related field. Familiarity with technical tools such as ArcGIS, QGIS, remote sensing software, and certifications like GISP enhance technical proficiency. Strong communication skills, self-motivation, and the ability to collaborate virtually are important soft skills for remote work environments. These capabilities are crucial for accurately analyzing spatial data, solving client problems, and efficiently contributing to distributed teams.

What is a Remote Geospatial job?

A Remote Geospatial job involves analyzing and interpreting geographic data using technologies like GIS, remote sensing, and GPS from a remote location. Professionals in this field work with maps, satellite imagery, and spatial data to support industries such as environmental science, urban planning, disaster management, and agriculture. These roles require proficiency in geospatial software and data analysis, as well as strong problem-solving skills. Remote positions allow professionals to collaborate with teams and clients globally while using cloud-based tools for data processing and visualization.

What does a typical day look like for a Remote Geospatial professional?

A typical day as a Remote Geospatial professional often involves processing and analyzing spatial data, creating maps and visualizations, and collaborating with team members through virtual meetings or project management platforms. You may work closely with clients or internal stakeholders to clarify project requirements and deliver geospatial insights that inform decision-making. Daily tasks can also include data cleaning, maintaining spatial databases, and producing reports or presentations. Since the role is remote, strong organizational skills and proactive communication are key to managing your workload and meeting project deadlines efficiently.

What job categories do people searching Remote Geospatial jobs in Springfield, OH look for? The top searched job categories for Remote Geospatial jobs in Springfield, OH are:
What cities near Springfield, OH are hiring for Remote Geospatial jobs? Cities near Springfield, OH with the most Remote Geospatial job openings:
Remote Geospatial jobs near you
AI/ML Software Engineer

AI/ML Software Engineer

Frontier Technology Inc.

Dayton, OH • Remote

$140K - $220K/yr

Full-time

Posted 10 days ago

Job description

Overview

Frontier Technology Inc. (FTI) is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments.

FTI delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges by integrating people, process, and technology.

Responsibilities

Software Design & Development

  • Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
  • Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
  • Write clean, testable, and maintainable code following secure coding and software engineering best practices.
  • Build and integrate modular microservices to improve scalability, maintainability, and interoperability.

Cloud & Containerized Environments

  • Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent).
  • Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management.
  • Contribute to secure deployments across hybrid or disconnected environments (IL4-IL6, AWS GovCloud, or on-prem).

Systems Integration & Distributed Computing

  • Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis.
  • Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases.
  • Collaborate with system engineers and architects to ensure interoperability across software ecosystems.

Data & Analytics Integration

  • Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
  • Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems.
  • Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML.

Security, Testing & Sustainment

  • Write, test, and deploy software within secure or classified environments.
  • Automate testing and monitoring to ensure performance, reliability, and repeatable deployments.
  • Support the transition of prototypes to operational systems, focusing on maintainability and observability.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a secruity clearance, as needed.
  • 6-10+ years of professional software engineering experience.
  • 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (DoD/DoW) environments.
  • Strong full-stack or systems engineering background.
  • Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular.
  • Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.
  • Complete understanding of distributed systems and message buses (Kafka, Redis, etc.).
  • Experience developing or integrating analytics and AI models into production systems.

 Preferred Qualifications:

  • Experience deploying code in IL4-IL6 or edge/disconnected environments.
  • Familiarity with databases such as PostgreSQL, MongoDB, or graph databases.
  • Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

For this role, the compensation range is $140k-$220k.

*Note: Starting pay will be based on a number of factors and commensurate with the candidate's residence location, qualifications & experience.

#LI-KM1

#LI-Remote

Employment Type: FULL_TIME

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