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Spatial Data Jobs in Colorado (NOW HIRING)

Planning & GIS Analyst

Pueblo, CO · On-site +1

$5.3K - $8.0K/mo

Performs quality assurance checks on spatial data, maps, and analyses to ensure accuracy, completeness, and compliance with standards and best practices, and identifies ways to use Geographical ...

$60K - $72K/yr

The Geographic Information Systems (GIS) Analyst supports geospatial technologies at Denver International Airport (DEN) by maintaining authoritative spatial data; supporting enterprise GIS ...

Air Modeler

Denver, CO · Remote

$80K - $119K/yr

What We'd Love to See in You Proficiency with GIS, mapping tools, and spatial data processing. Programming and scripting experience in Python, R, BASH, or similar to automate modeling workflows, QA ...

Staff Product Designer

Westminster, CO

$156K - $192K/yr

Define cross-product design frameworks, patterns, and experiences for spatial, data-heavy, and operational workflows * Shape interaction models for maps, imagery, layers, tasking, monitoring ...

GIS Manager

Colorado Springs, CO · On-site

$82K - $111K/yr

This position is responsible for managing spatial data, developing analytical tools, producing high-quality cartographic products, and ensuring GIS workflows support planning, compliance, operational ...

GIS Manager

Colorado Springs, CO · On-site +1

$82K - $111K/yr

This position is responsible for managing spatial data, developing analytical tools, producing high-quality cartographic products, and ensuring GIS workflows support planning, compliance, operational ...

The Junior Data Scientist will support the development and evolution of Cushman and Wakefield ... Apply econometric and statistical methods (time series modeling, regression, spatial econometrics ...

With the latest software and AI/ML methods, Sanborn transforms spatial data into 2D and 3D maps elevation, natural resources, High Definition transportation roadways and infrastructure, 3D models and ...

The Junior Data Scientist will support the development and evolution of Cushman and Wakefield ... Apply econometric and statistical methods (time series modeling, regression, spatial econometrics ...

Senior Algorithm Engineer

Westminster, CO · On-site +1

$124K - $165K/yr

The ideal candidate will combine deep technical expertise with practical software development skills to solve complex real-world problems involving imagery, spatial data, and AI-driven workflows. Key ...

Algorithm Engineer

Westminster, CO · On-site

$102K - $136K/yr

The ideal candidate will contribute to solving challenging problems involving imagery, spatial data, sensor modeling, and AI-enabled workflows while collaborating with multidisciplinary engineering ...

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Showing results 1-20

Spatial Data information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do spatial data jobs pay per year?

As of Jul 24, 2026, the average yearly pay for spatial data in Colorado is $136,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 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.
Infographic showing various Spatial Data job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 13% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $136,399 per year, or $65.6 per hour.
Senior Geospatial Data Engineer with Security Clearance

Senior Geospatial Data Engineer with Security Clearance

CACI

Denver, CO • On-site

$189K/yr

Other

Medical, Retirement, PTO

Posted 14 days ago


Job description

Job Title: 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 Travel: Continental US Anticipated Posting End: 8/1/2026 The Opportunity:
CACI's AGIS Release Train delivers the geospatial data infrastructure and analytical capabilities that NGA analysts rely on every day to drive intelligence decisions. Our team operates at the intersection of cutting-edge open-source geospatial technology and mission-critical intelligence workflows - building the pipelines, visualization tools, and analytical environments that transform raw geospatial data into decision advantage.
As a Senior Geospatial Data Engineer, you will lead pipeline development, tool integration, and visualization capability delivery across a FOSS4G-centric stack. You will work directly with NGA mission users and AGIS delivery teams to shape how intelligence professionals interact with geospatial data - from ingest all the way to analyst-facing visualization. Responsibilities: Design and deliver end-to-end geospatial data pipelines from ingest through analyst-facing visualization, leveraging GDAL/OGR-based transformation and processing across diverse data formats
Develop and maintain Python-based analytical environments via Jupyter Notebooks tailored to NGA mission user workflows
Manage GeoParquet datasets within the program's data lake architecture; implement and extend columnar format pipelines for production use
Administer ArcGIS Server services and portal configurations; integrate with the FOSS4G toolchain including QGIS, GeoServer, and MapServer
Collaborate with the AGIS Search team on spatial data indexing and AI-assisted retrieval integration
Lead technical refinement sessions and provide PI Planning input on data engineering epics and cross-team dependencies Qualifications:
Required: Active TS/SCI clearance
8+ years of software or data engineering experience, with at least 5 years in geospatial domains
Proficiency in the Python geospatial stack: GDAL, Fiona, Shapely, GeoPandas, Rasterio
Strong Jupyter Notebook development experience for analytical and mission workflows
Working knowledge of the FOSS4G ecosystem (QGIS, GeoServer, MapServer, GRASS)
GeoParquet/columnar format experience in production environments
ArcGIS Server and ArcGIS Enterprise administration
B.S. in Geography, GIS, Computer Science, or related field (equivalent experience accepted) Desired: Familiarity with OGC service standards (WMS, WFS, WCS)
Experience operating within SAFe or Agile delivery frameworks
CI Poly clearance - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $90,300 - 189,600 USD CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.