ZipRecruiter

Log In

1

Geospatial Data Engineer Jobs (NOW HIRING)

BAE Systems

Geospatial Data Engineer

Augusta, GA · On-site

$88K - $149K/yr

The Geospatial Data Engineer will be expected to assist in efforts such as, but not limited to: * design, implementation, and operate data driven approaches to client's intelligence requirements ...

New

BAE Systems

Geospatial Data Engineer

Fort Eisenhower, GA · On-site

$88K - $149K/yr

The Geospatial Data Engineer will be expected to assist in efforts such as, but not limited to: * design, implementation, and operate data driven approaches to client's intelligence requirements ...

BAE Systems

Geospatial Data Engineer

Augusta, GA · On-site

$88K - $149K/yr

The Geospatial Data Engineer will be expected to assist in efforts such as, but not limited to: * design, implementation, and operate data driven approaches to client's intelligence requirements ...

New

BAE Systems

Geospatial Data Engineer

Augusta, GA

$88K - $149K/yr

The Geospatial Data Engineer will be expected to assist in efforts such as, but not limited to: * design, implementation, and operate data driven approaches to client's intelligence requirements ...

New

CACI

Senior Geospatial Data Engineer

Denver, CO · On-site

$189K/yr

Senior Geospatial Data Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of ...

CACI

Senior Geospatial Data Engineer

Denver, CO

$189K/yr

Senior Geospatial Data Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of ...

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 ...

Vantor

Senior Geospatial Data Engineer

Mclean, VA · On-site

$137K - $200K/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 ...

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 ...

Aperio Global

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 ...

next page

Showing results 1-20

All JobsScience JobsGeography JobsGeospatial Information Scientist JobsGeospatial Data Engineer Jobs

Geospatial Data Engineer information

See salary details

$5

$46

$90

How much do geospatial data engineer jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for 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 geospatial data engineer?

A Geospatial Data Engineer is responsible for designing, developing, and managing systems that process and analyze spatial data. They work with geographic information systems (GIS), databases, and cloud platforms to handle large-scale geospatial datasets. Their role involves data pipeline development, spatial analysis, and optimizing geospatial data storage and retrieval. They collaborate with analysts, scientists, and developers to support location-based decision-making.

What are the key skills and qualifications needed to thrive as a geospatial data engineer?

To thrive as a Geospatial Data Engineer, you need solid expertise in geospatial data processing, spatial databases, GIS concepts, and programming languages like Python or SQL, typically backed by a relevant degree in geoinformatics, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, PostGIS, and cloud platforms, as well as certifications like GISP, are highly valued. Strong analytical thinking, attention to detail, and collaborative communication enhance performance in multidisciplinary teams. These skills are vital for accurately transforming complex spatial data into actionable insights and delivering reliable solutions in geospatial projects.

What are some common challenges faced by geospatial data engineers on the job?

Geospatial Data Engineers frequently encounter challenges related to integrating large and diverse spatial datasets from multiple sources, ensuring data quality, and optimizing data for efficient querying and analysis. Managing changing project requirements and staying updated with evolving geospatial technologies are also common aspects of the role. In addition, collaborating with data scientists, analysts, and GIS specialists requires clear communication to translate technical data into actionable outputs. Navigating these challenges effectively helps engineers deliver robust geospatial solutions that support business and research goals.

More about Geospatial Data Engineer jobs

What cities are hiring for Geospatial Data Engineer jobs?

Cities with the most Geospatial Data Engineer job openings:

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 Geospatial Data Engineer jobs?

States with the most job openings for Geospatial Data Engineer jobs include:

What are popular job titles related to Geospatial Data Engineer jobs?

For Geospatial Data Engineer jobs, the most frequently searched job titles are:

Geospatial Data Engineer jobs near you
Infographic showing various Geospatial Data Engineer job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $96,989 per year, or $46.6 per hour.

Geospatial Data Systems Engineer (TS/SCI + Poly)

Mclean, VA

Aperio Global
Guided Missile and Space Vehicle Manufacturing • 1 - 10 employees
Learn more about Aperio Globalexternal

Full-time

Re-posted 7 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

Apply