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Remote Geospatial Intelligence Analyst Jobs in Texas

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Modeling & Analytics Reports to : Lead Modeling Scientist Location : Remote Base Salary Range: $95k ... Experience working with geospatial data formats and spatial data processing * Experience supporting ...

Harris

Your primary focus will be on enhancing the geospatial capabilities of our Outage Management System ... Analyze and resolve complex spatial data and software issues to support the stability and ...

Harris

Your primary focus will be on enhancing the geospatial capabilities of our Outage Management System ... Analyze and resolve complex spatial data and software issues to support the stability and ...

Humana

Business Intelligence Lead

Dallas, TX · On-site +1

The Business Intelligence Lead works on problems of diverse scope and complexity ranging from ... analytics solutions for various healthcare sectors Additional Information Limited Geography Remote ...

New

Humana

Business Intelligence Lead

Dallas, TX · On-site +1

The Business Intelligence Lead works on problems of diverse scope and complexity ranging from ... analytics solutions for various healthcare sectors Additional Information Limited Geography Remote ...

New

Humana

Business Intelligence Lead

Dallas, TX · On-site +1

The Business Intelligence Lead works on problems of diverse scope and complexity ranging from ... analytics solutions for various healthcare sectors Additional Information Limited Geography Remote ...

New

Actalent

Thermal Analyst

Austin, TX · On-site +1

... intelligence, cyber, and space programs. You will perform high-quality structural and thermal analyses, guide design optimization, and support both local and remote programs. The position offers the ...

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Remote Geospatial Intelligence Analyst information

What is a remote geospatial intelligence analyst?

A Remote Geospatial Intelligence Analyst is a professional who analyzes geographic and spatial data to support decision-making, often for government, defense, or commercial organizations, while working from a remote location. They use satellite imagery, maps, and other geospatial data to identify patterns, monitor activities, and provide actionable intelligence. Their work supports missions like disaster response, military operations, urban planning, and environmental monitoring. Remote analysts use specialized software to interpret data and often collaborate with teams through digital platforms. This role requires strong analytical skills, attention to detail, and expertise in geospatial technologies.

What are some common challenges faced by remote geospatial intelligence analysts, and how can they be addressed?

Remote geospatial intelligence analysts often encounter challenges such as coordinating with dispersed teams, accessing secure data, and maintaining situational awareness without in-person briefings. Overcoming these hurdles typically involves strong communication skills, familiarity with collaborative mapping tools, and adherence to robust cybersecurity protocols. Staying proactive in seeking feedback and clarifying mission objectives with team leads helps ensure accuracy and effective support for decision-makers, even from a remote location.

What is the difference between Remote Geospatial Intelligence Analyst vs Remote GIS Analyst?

AspectRemote Geospatial Intelligence AnalystRemote GIS Analyst
Required CredentialsBachelor's in Geography, GIS, or related field; GIS certifications often preferredBachelor's in Geography, GIS, or related field; GIS certifications often preferred
Work EnvironmentGovernment agencies, defense, intelligence, or private sector with security clearanceEnvironmental agencies, urban planning, utilities, or private companies
Industry UsagePrimarily in defense, intelligence, and security sectors
Search & Comparison IntentOften compared for skills, certifications, and work scope

The Remote Geospatial Intelligence Analyst and Remote GIS Analyst roles share similar educational backgrounds and certifications. However, the Intelligence Analyst typically works in security-focused environments, analyzing geospatial data for defense or intelligence purposes, while the GIS Analyst focuses on mapping, urban planning, and environmental projects. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are the key skills and qualifications needed to thrive as a remote geospatial intelligence analyst?

To thrive as a Remote Geospatial Intelligence Analyst, you need a strong background in geography, GIS, remote sensing, and data analysis, typically supported by a relevant bachelor’s degree. Expertise in geospatial software like ArcGIS, ERDAS Imagine, and familiarity with data visualization and imagery analysis tools is essential, along with certifications such as GISP being advantageous. Attention to detail, analytical thinking, and strong communication skills are crucial for interpreting data and conveying complex findings to decision-makers. These skills and qualities are vital for producing accurate, actionable intelligence that supports security, defense, and organizational objectives.
What are the most commonly searched types of Geospatial Intelligence Analyst jobs in Texas? The most popular types of Geospatial Intelligence Analyst jobs in Texas are:
What are popular job titles related to Remote Geospatial Intelligence Analyst jobs in Texas? For Remote Geospatial Intelligence Analyst jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Geospatial Intelligence Analyst jobs in Texas look for? The top searched job categories for Remote Geospatial Intelligence Analyst jobs in Texas are:
What cities in Texas are hiring for Remote Geospatial Intelligence Analyst jobs? Cities in Texas with the most Remote Geospatial Intelligence Analyst job openings:
Remote Geospatial Intelligence Analyst jobs near you

Data Engineer

Arva Intelligence

Houston, TX • On-site, Remote

$95K - $130K/yr

Other

Re-posted 23 days ago

Job description

Job Title:                          Data Engineer 

Department:                     Modeling & Analytics

Reports to:                       Lead Modeling Scientist

Location:                          Remote

Base Salary Range:        $95k - $130k

General Position Description

The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem modeling and measurement, reporting, and verification platforms. This role sits within a multidisciplinary Data Science team and focuses on designing reliable, auditable, and scalable data systems that enable biogeochemical modeling and optimization at production scale.

In this role, the Data Engineer will design and maintain production-grade data pipelines that integrate diverse datasets including field measurements, management practices, soils, and weather with process-based ecosystem models. The role plays a critical part in ensuring data quality, reproducibility, and traceability so that scientific outputs can be translated into trusted, credit-grade results with real-world impact.

Primary Job Responsibilities

Data Pipeline and Workflow Development

  • Design, implement, and maintain scalable data pipelines supporting ecosystem and biogeochemical modeling
  • Build reproducible workflows that generate standardized model inputs and manage outputs across space, time, and scenario analysis
  • Integrate heterogeneous datasets, including field data, management data, soil data, and weather data, into modeling pipelines

Cloud Infrastructure and Data Systems

  • Develop and maintain cloud-based infrastructure to support modeling pipelines and optimization workflows
  • Implement data storage solutions using relational, spatial, and object-based databases
  • Support efficient data access and processing using platforms such as PostgreSQL, PostGIS, and cloud object storage

Data Quality, Governance, and Auditability

  • Ensure data quality, versioning, traceability, and auditability to support measurement, reporting, and verification requirements
  • Implement validation and monitoring processes to ensure reliability of model inputs and outputs
  • Support transparent, repeatable workflows suitable for regulatory and credit market review

Software Engineering and Collaboration

  • Write clean, modular, and well-documented production code that supports maintainable and scalable data systems
  • Apply software engineering best practices including testing, version control, and documentation
  • Collaborate closely with Data Science and Technology teams to align data infrastructure with modeling, analytics, and production needs

Key Competencies / Requirements

  • 3+ years demonstrated experience building and maintaining data pipelines for large, complex, and heterogeneous datasets
  • Strong proficiency in Python and modern data engineering tools, with experience writing production-grade, testable code
  • Experience working with cloud platforms, with AWS strongly preferred
  • Familiarity with containerization tools such as Docker and version control systems such as GitHub
  • Experience with relational and spatial databases, including PostgreSQL and PostGIS
  • Experience working with geospatial data formats and spatial data processing
  • Experience supporting scientific or ecosystem modeling workflows preferred
  • Familiarity with workflow orchestration tools such as Airflow or Prefect preferred
  • Bachelor's or Master's degree or equivalent experience in Data Engineering, Computer Science, Environmental Informatics, or a related field

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