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Spatial Data Jobs (NOW HIRING)

WAVSYS

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GIS Data Analyst

Golden, CO · On-site

$43 - $50/hr

Spatial Data Management & Governance * Ensure data accuracy, validation, and quality across all vector and raster datasets and reporting outputs. * Manage and curate geodatabases , ensuring the ...

Vibrant Planet

Spatial Wildfire Analyst

The cultivation of data and application of science into strategic frameworks that enable tradeoff ... Perform spatial and temporal data analysis across large landscapes * Develop and implement spatial ...

AEC Talent Acquisition

GIS Analyst

Maitland, FL · On-site

In this role, you will focus on spatial data creation, cartographic production, and migrating AutoCAD design data into our GIS environment to assist engineers and planners with site analysis and ...

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 ...

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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 Jul 24, 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.
More about Spatial Data jobs
What cities are hiring for Spatial Data jobs? Cities with the most Spatial Data job openings:
What are the most commonly searched types of Spatial Data jobs? The most popular types of Spatial Data jobs are:
What states have the most Spatial Data jobs? States with the most job openings for Spatial Data jobs include:
What job categories do people searching Spatial Data jobs look for? The top searched job categories for Spatial Data jobs are:
Spatial Data jobs near you
Infographic showing various Spatial Data job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior GIS / BIM Specialist - Asset Management

MENA Consultant

Mecca, CA

Full-time

Posted 13 days ago

Job description

Location: Riyadh, KSA.
Years of Experience: 10+ years.
Project Duration: 1 year.
Working Arrangement: on-site.
Language Requirements: Fluency in Arabic & English (written and spoken).

We are seeking an experienced Senior GIS / BIM Specialist – Asset Management to support GIS, BIM, and spatial data integration activities for a major airport asset management initiative. The role will focus on developing GIS asset layers, validating BIM models, conducting spatial data quality assurance, integrating GIS information with Enterprise Asset Management Systems, and supporting the foundation for digital twin capabilities.

Key Requirements
  • Minimum 10 years of relevant professional experience.
  • Proven experience with Geographic Information Systems (GIS), Building Information Modelling (BIM), and spatial data management.
  • Experience developing and maintaining GIS asset layers.
  • Experience validating BIM models and associated asset information.
  • Experience performing spatial data quality assurance (QA).
  • Experience integrating GIS data with Enterprise Asset Management Systems (EAMS) or similar enterprise platforms.
Key Responsibilities
  • Develop and maintain GIS asset layers.
  • Validate BIM models and associated asset information.
  • Perform spatial data quality assurance and resolve data inconsistencies.
  • Support the integration of GIS data with EAMS platforms.
  • Ensure the accuracy, completeness, and consistency of spatial asset information.
  • Support foundational data and integration activities for digital twin initiatives.
  • Coordinate with technical and operational stakeholders to ensure effective GIS, BIM, and asset data integration.

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