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Full Time Geospatial Data Engineer Jobs (NOW HIRING)

Vantor

Senior Geospatial Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

The ideal candidate is part geospatial programmer, part data librarian, and part visualization developer. You will use Python to process and analyze large geospatial datasets, manage and curate ...

asrcfh

Geospatial Front-End Developer

Reston, VA · Remote

ASRC Agile Decision Sciences is seeking a full-time Geospatial Front-End Developer to join to ... supporting geospatial data processing and system administration tasks. Work Location: Remote ...

Vantor

Senior Geospatial Data Engineer - Vantor

Mclean, VA · On-site

$117K - $141K/yr

The ideal candidate is part geospatial programmer, part data librarian, and part visualization developer. You will use Python to process and analyze large geospatial datasets, manage and curate ...

asrcfh

Geospatial Front-End Developer

Reston, VA · Remote

ASRC Agile Decision Sciences is seeking a full-time Geospatial Front-End Developer to join to ... supporting geospatial data processing and system administration tasks. Work Location: Remote ...

Quiet Professionals LLC

Data Layer Engineer

Tampa, FL · On-site

$108K - $129K/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 ...

Blood Hound

Geospatial Data Specialist

Zionsville, IN · On-site

$25/hr

... for engineering and construction clients nationwide. Summary Blood Hound is seeking a detail ... Collaborate with the Geospatial Systems Supervisor to improve internal data pipelines and ...

Blood Hound

Geospatial Data Specialist

Zionsville, IN · On-site

$25/hr

... for engineering and construction clients nationwide. Summary Blood Hound is seeking a detail ... Collaborate with the Geospatial Systems Supervisor to improve internal data pipelines and ...

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

As of Aug 30, 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.

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.

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 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 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.

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:

What job categories do people searching Full Time Geospatial Data Engineer jobs look for?

The top searched job categories for Full Time Geospatial Data Engineer jobs are:

Full Time Geospatial Data Engineer jobs near you
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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $96,989 per year, or $46.6 per hour.

Geospatial Data Systems Engineer (TS/SCI + Poly)

Aperio Global

Mclean, VA

Full-time

Posted 24 days ago

Job description

Senior Geospatial Data Engineer
TS/SCI with Polygraph Required
McLean VA

At Aperio Global, we solve complex national security challenges through data, analytics, and emerging technologies. We're seeking a Senior Geospatial Data Engineer to develop scalable geospatial solutions that transform complex datasets into actionable intelligence.

You'll leverage Python, ArcGIS Enterprise, and Tableau to automate data workflows, manage enterprise GIS content, and deliver visualization products that support mission-critical decision making.

What You'll Do
Partner with mission stakeholders to understand geospatial data, analytics, and visualization requirements.
Develop Python automation for geospatial data processing, transformation, validation, and publication.
Build, maintain, and enhance ArcGIS Enterprise/Portal content, including hosted feature layers, web maps, dashboards, and map services.
Design Tableau dashboards and visual analytics that communicate complex geospatial information.
Integrate spatial and tabular datasets into scalable analytical solutions.
Manage enterprise geospatial data, metadata, quality assurance, and lifecycle processes.
Create technical documentation and collaborate across multidisciplinary engineering and mission teams.

Required Qualifications
Active TS/SCI with Polygraph
Bachelor's degree in GIS, Geography, Computer Science, Engineering, Data Science, or related field.
Senior-level experience supporting geospatial engineering, GIS development, or data engineering.
Strong Python development experience for automation and geospatial data processing.
Hands-on experience with ArcGIS Enterprise/Portal and enterprise GIS content management.
Experience with Tableau or similar business intelligence platforms.
Working knowledge of spatial data management, geoprocessing, and PostgreSQL/PostGIS.
Strong analytical, communication, and problem-solving skills.
Preferred Skills

Experience with ArcGIS Pro, ArcPy, GeoPandas, GDAL, QGIS, Shapely, Rasterio, Elasticsearch, Kibana, PostgreSQL/PostGIS, cloud-hosted GIS environments, Amazon S3, Git, Jira, DevOps, containerization, Agile development, spatial analytics, or machine learning.

160-220k

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