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Spatial Data Jobs (NOW HIRING)

GRVTY

Geospatial Data Manager

Springfield, VA · On-site

You will apply your expertise in GIS, data schemas, and georeferencing to organize and maintain spatial data, ensuring alignment with established metadata and extraction standards. Leveraging ...

OMS Group

GIS and Data Specialist

Pleasant Hill, CA · On-site

$28 - $35/hr

We are seeking a skilled and detail-oriented Spatial & Data Analyst to support project execution through spatial analysis, data management, and performance reporting. This role focuses on enabling ...

Expert Technology Services

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

... spatial entities (haul roads, rock piles, machinery, vehicles, personnel) in both 2D and 3D data. - Track and annotate the motion and orientation of heavy equipment in operational scenarios. - Align ...

Bayer

$106K - $159K/yr

The successful candidate will play a crucial role in integrating various omics data types to drive ... Integrate spatial metabolomics/proteomics with transcriptomics, genomics, and histopathology images ...

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Spatial Data information

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$44.5K

$129.7K

$177.5K

How much do spatial data jobs pay per year?

As of Aug 15, 2026, the average yearly pay for spatial data in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a spatial data analyst, and why are they important?

To excel as a Spatial Data Analyst, you need a strong background in geography, GIS, data analysis, and a relevant degree such as geography, environmental science, or computer science. Proficiency in GIS software (e.g., ArcGIS, QGIS), spatial databases (like PostGIS), and programming languages such as Python or R is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this field. These competencies are essential for accurately interpreting spatial data, generating actionable insights, and effectively sharing findings with stakeholders.

What are some typical challenges faced by spatial data analysts when working with large geospatial datasets?

Spatial data analysts often encounter challenges related to data quality and integration when working with large geospatial datasets. Issues such as inconsistent data formats, missing metadata, and varying spatial resolutions can complicate analysis. Additionally, managing the computational load of processing and visualizing large, complex datasets may require specialized software and robust hardware. Collaborating closely with GIS specialists, IT teams, and data engineers helps to address these challenges and ensure reliable results.

What is the difference between Spatial Data vs GIS Analyst?

AspectSpatial DataGIS Analyst
Required CredentialsGIS certifications, degrees in geography, GIS, or related fieldsGIS certifications, degrees in geography, GIS, or related fields
Work EnvironmentData collection, database management, mapping softwareData analysis, map creation, spatial problem-solving
Employer & Industry UsageUsed by GIS professionals, urban planners, environmental agenciesEmployed in government, consulting firms, environmental organizations
Search & Comparison IntentUnderstanding data types, data managementAnalyzing spatial data, creating maps, reports

Spatial Data refers to the raw geographic information used in mapping and analysis, while a GIS Analyst actively interprets, analyzes, and visualizes this data to support decision-making. Both roles require similar credentials and are integral to GIS projects, but Spatial Data is the foundational information, whereas GIS Analysts focus on applying that data to solve spatial problems.

What is spatial data?

Spatial data, also known as geospatial data, refers to information about the physical location and shape of objects on Earth. This data is usually stored as coordinates and topology and can represent features such as buildings, roads, rivers, or even entire countries. Spatial data is used in mapping, geographic information systems (GIS), urban planning, environmental studies, and various other fields to analyze locations, patterns, and relationships. It can be stored in formats like vector (points, lines, polygons) or raster (grids, images). Understanding spatial data is essential for making informed decisions based on geographic information.
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Spatial Data jobs near you
Infographic showing various Spatial Data job openings in the United States as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

SIGINT Geospatial Analyst (All Levels)

Fuse Engineering LLC

Annapolis Junction, MD

Full-time

Re-posted 11 days ago

Job description

Description

 Applies geographic information science in response to intelligence needs using SIGINT data collected from foreign systems. Application of temporal and spatial thinking in interpreting SIGINT data in geographic context. Such interpretation requires skills, knowledge, and abilities drawn from multiple disciplines in order to undertake spatial data manipulation, spatial data analysis, spatial statistical analysis and spatial modeling. Have a fundamental knowledge of geospatial SIGINT data, analytical methods, and visualization, in addition to technical knowledge of target technologies. Use the various systems and tools that facilitate spatial analysis. Maintain or support maintenance of reference knowledge databases and dissemination of intelligence 

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