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Full Time Geospatial Data Engineer Jobs (NOW HIRING)

Data Layer Engineer

Tampa, FL · On-site

$173K/yr

The position requires working with ESRI geospatial data layers, ArcGIS Enterprise, and cloud-based geospatial services. * Engineers will implement data governance frameworks and metadata/data ...

New

As a Technical Consultant, Enterprise Data Engineer, you will design and implement scalable geospatial data platforms that support Defense and Intelligence operations. You will work directly with ...

Data Engineer

$117K - $140K/yr

Manage large-scale geospatial and temporal datasets stored in AWS S3. * Collaborate with data ... Type: Full-time * Reports to: Director of Engineering * Salary Based on Experience * Annual Bonus

Geospatial Front-End Developer

Reston, VA · On-site

$108K - $125K/yr

... full-time Geospatial Front-End Developer to join to design, build, and maintain our web-based ... Experience with ArcGIS Python (ArcPy or ArcGIS API for Python) for data preparation, loading, and ...

You will work closely with engineering, data, and program teams to ensure geospatial data and ... Corner Alliance offers a comprehensive and competitive benefits package for full-time employees ...

You will work closely with engineering, data, and program teams to ensure geospatial data and ... Corner Alliance offers a comprehensive and competitive benefits package for full-time employees ...

... geospatial and enterprise data to ensure accuracy, accessibility, and usability across analytic ... Additionally, you will collaborate closely with analysts, engineers, and cross-functional mission ...

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Full Time Geospatial Data Engineer information

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How much do full time geospatial data engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for full time geospatial data engineer in the United States is $46.63, according to ZipRecruiter salary data. Most workers in this role earn between $35.82 and $57.69 per hour, depending on experience, location, and employer.

How does a full time geospatial data engineer typically collaborate with other teams within an organization?

A Full Time Geospatial Data Engineer frequently works alongside data scientists, software developers, and GIS analysts to design and implement geospatial data solutions. Collaboration often involves translating spatial data requirements into scalable data models, supporting the integration of geospatial data into larger analytics workflows, and troubleshooting data quality issues. Regular communication with cross-functional teams ensures that geospatial data products meet both technical standards and business needs. This collaborative environment not only enhances project outcomes but also provides opportunities for professional growth and exposure to diverse technologies.

What is the difference between Full Time Geospatial Data Engineer vs GIS Analyst?

AspectFull Time Geospatial Data EngineerGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; GIS certificationsBachelor's in Geography, GIS, or related field; GIS certifications
Work EnvironmentData development, database management, coding, cloud platformsMap creation, spatial analysis, data visualization, report generation
Employer & Industry UsageTech firms, government agencies, environmental companiesUrban planning, government agencies, environmental organizations
Common Search & ComparisonYesYes

The Full Time Geospatial Data Engineer primarily focuses on building and maintaining geospatial data infrastructure, coding, and managing large datasets. In contrast, a GIS Analyst emphasizes spatial analysis, map creation, and interpreting geographic data for decision-making. Both roles require similar credentials and are used across various industries, but their core responsibilities differ, with engineers handling data systems and analysts focusing on analysis and visualization.

What are the key skills and qualifications needed to thrive as a full time geospatial data engineer, and why are they important?

To thrive as a Full Time Geospatial Data Engineer, you need strong expertise in GIS concepts, spatial data analysis, programming (such as Python or SQL), and a relevant degree in geography, computer science, or a related field. Proficiency with GIS software (e.g., ArcGIS, QGIS), spatial databases (like PostGIS), and cloud platforms (such as AWS or Google Cloud) is typically required, along with certifications like GISP being advantageous. Excellent problem-solving, attention to detail, and effective communication skills set top candidates apart for collaborating across teams and presenting technical findings. These skills and qualities are crucial to ensure accurate spatial data processing, reliable solutions, and effective integration of geospatial insights into business or research objectives.

What is a full time geospatial data engineer?

Full Time Geospatial Data Engineers are professionals who design, develop, and maintain systems that process and analyze geospatial data—information tied to geographic locations. They work with technologies like GIS (Geographic Information Systems), spatial databases, and programming languages to manage, transform, and visualize spatial datasets. Typically employed by organizations in fields such as environmental science, urban planning, transportation, and defense, these engineers ensure that geospatial data is accurate, accessible, and usable for decision-making. Their responsibilities often include building data pipelines, integrating various data sources, and collaborating with analysts, data scientists, and software developers.
More about Full Time Geospatial Data Engineer jobs
What are the most commonly searched types of Geospatial Data Engineer jobs? The most popular types of Geospatial Data Engineer jobs are:
What states have the most Full Time Geospatial Data Engineer jobs? States with the most job openings for Full Time Geospatial Data Engineer jobs include:
Infographic showing various Full Time Geospatial Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $96,989 per year, or $46.6 per hour.

Geospatial Data Analyst

Rocky Mountain Elk Foundation

Missoula, MT • On-site

Full-time

Re-posted 24 days ago


Job description

Job Type
Full-time
Description
Geospatial Data Analyst
The Rocky Mountain Elk Foundation (RMEF) is a mission-driven non-profit dedicated to ensuring the future of elk, other wildlife, their habitat and our hunting heritage. Since our founding in 1984, we have helped conserve nearly one square mile of elk country every day. In partnership with others, we have conserved or enhanced more than 9.1 million acres, including improving public access to 1.6 million acres. Our impact will extend to 10 million acres by 2030. RMEF is proud of our conservation successes and is committed to making an even larger impact in the future.
RMEF is seeking an experienced professional to serve as the organization's central geospatial resource, responsible for collecting, managing, analyzing, and visualizing spatial data to advance RMEF's operations, mission, and strategic goals. Responsibilities include:
  • Designing and maintaining a centralized GIS architecture
  • Developing standardized workflows
  • Producing high-quality maps, applications, and analyses that support mission delivery, storytelling, advocacy, fundraising, membership growth, and executive decision-making

This is an exciting opportunity to help shape the future of conservation in a dynamic, mission-driven environment.
Qualifications include:
• Bachelor's degree is required in geography, GIS, natural resource management, or a closely related field
• Minimum of five years' experience with geospatial analysis, GIS data management, and cartography is required, preferably within a wildlife conservation or natural resources context
• Demonstrated experience with cartographic design, interactive mapping, or geospatial storytelling preferred
Location: This position is based at RMEF's Headquarters office in Missoula, Montana and requires fulltime on-site work.
Essential Functions:
1. Geospatial Data Governance + Standards : Design, implement, and maintain RMEF's centralized GIS data structure in conjunction with organizational data governance. Establish and document standards for geospatial data collection, storage, access, naming conventions, metadata, quality control, and versioning. Ensure spatial datasets are consistent, sustainable, and usable across departments and systems. Work across departments to promote consistent, standardized use of GIS tools and data. Develop documentation, workflows, and training resources to improve GIS literacy and enable non-technical staff to effectively access organizational data through GIS tools.
2. Geospatial Data Management + Integration : Collect, manage, maintain, and validate internal and external datasets critical to mission delivery and organizational planning. Engage with agency and industry partners to research, acquire, and steward key datasets, including parcel data, conservation easements, habitat and wildlife layers, proprietary partner layers, and access-related information. Identify and integrate GIS data with internal systems, NetSuite, and workflows, including mission, grants, membership, marketing, and development data, to support reporting, analysis, and compliance needs.
3. Mapping, Visualization + Design : Create high-quality static and interactive maps, dashboards, and web-based GIS applications that clearly communicate RMEF accomplishments, opportunities, and future direction. Apply strong cartographic design principles to ensure clarity, accuracy, and visual impact in line with RMEF brand standards. Collaborate with the Brand + Communications and Marketing + Partnerships departments to support storytelling, donor engagement, and public-facing communications through compelling visual products.
4. Mission Support : Provide direct geospatial support to Mission projects, including creation of project maps, access analysis, parcel research, and grant applications. Support conservation planning, project selection, and development by supplying spatial research, analysis, and visualization that strengthens decision-making and documentation.
5. Evolving Technology + Modernization : Maintain and administer GIS software, tools, licenses, and supporting infrastructure in coordination with Internal Operations staff. Stay current on emerging GIS technologies, visualization techniques, and best practices, recommending and implementing improvements that increase analytical capacity, efficiency, and organizational value.
6. Additional Responsibilities : Maintain relevant GIS certifications and pursue ongoing professional development. Coordinate with external partners and vendors as needed. Serve as backup support for other members of the department as needed. Perform other work as required.
Supervision of Others:
This position does not have direct supervisory responsibilities.
Education and Experience:
A bachelor's degree is required in geography, GIS, natural resource management, or a closely related field. A minimum of five years' experience with geospatial analysis, GIS data management, and cartography is required, preferably within a wildlife conservation or natural resources context. Demonstrated experience with cartographic design, interactive mapping, or geospatial storytelling preferred.
Knowledge, Skills, Abilities:
  1. Knowledge and support of RMEF's mission, goals, and activities, and ability to promote them.
  2. Strong knowledge of GIS principles, spatial analysis techniques, and geospatial data management.
  3. Proficiency in creating high-quality maps and dynamic maps using sound cartographic design principles.
  4. Knowledge of wildlife management, habitat management, land conservation, and access-related spatial data.
  5. Working knowledge of real estate transactions, including title work and proficiency in reading legal descriptions, to support accurate spatial data interpretation and creation.
  6. Demonstrated experience designing and maintaining geospatial data structures, standards, and workflows.
  7. Ability to translate complex spatial data into clear, compelling visual products for technical and non-technical audiences.
  8. Working knowledge and understanding of accounting, Microsoft Office, and relational databases.
  9. Exceptional attention to detail and accuracy.
  10. Strong analytical, critical thinking, and problem-solving skills with sound judgment.
  11. Ability to meet deadlines, set priorities, and work within a dynamic, changing environment.
  12. Ability to work independently while functioning effectively in a team environment.
  13. Strong customer service ethic and professional demeanor.

Physical Demands:
The employee must sit or stand for long periods of time; use a computer terminal; reach forward and to the side; bend from both standing and sitting position; and lift items of light and medium weight. Travel by automobile, airplane, foot, or mechanized ORV may be required. Travel may include overnight and weekend trips.