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Spatial Data Jobs in Colorado (NOW HIRING)

Geospatial or spatial data * Combining multiple data streams to infer meaningful signals * Problems requiring modeling, interpretation, or non-obvious conclusions Strength in some areas can ...

Collect digital and spatial data with digital tablets, digital cameras, and GPS units. * Perform digital photography, as directed. * Enter site form data into tablets. * Maintain accurate and ...

Staff Software Engineer

Denver, CO · On-site

$180K - $220K/yr

Geospatial or spatial data * Combining multiple data streams to infer meaningful signals * Problems requiring modeling, interpretation, or non-obvious conclusions Strength in some areas can ...

Cultural Resource Staff

Durango, CO · On-site

$18 - $24/hr

Collect digital and spatial data with digital tablets, digital cameras, and GPS units. * Perform digital photography, as directed. * Enter site form data into tablets. * Maintain accurate and ...

Collect digital and spatial data with digital tablets, digital cameras, and GPS units. * Perform digital photography, as directed. * Enter site form data into tablets. * Maintain accurate and ...

This role will focus heavily on ESRI-based web GIS development, enterprise integrations, user interface development, spatial data workflows, and process automation supporting various business teams.

This role will focus heavily on ESRI-based web GIS development, enterprise integrations, user interface development, spatial data workflows, and process automation supporting various business teams.

Partner Solutions Architect

Denver, CO · Remote

$64.75 - $85.50/hr

Understanding of spatial data concepts and experience with geospatial technologies such as GIS, CAD, remote sensing, or surveying * Track record of delivering proofs of concept, demonstrations, and ...

Partner Solutions Architect

Denver, CO · On-site

$64.75 - $85.50/hr

Understanding of spatial data concepts and experience with geospatial technologies such as GIS, CAD, remote sensing, or surveying * Track record of delivering proofs of concept, demonstrations, and ...

At RESPEC, a GIS Consultant is a strong independent contributor in geospatial data management, spatial analysis, cartography, and overall GIS solution delivery. You have solid foundational knowledge ...

At RESPEC, a GIS Consultant is a strong independent contributor in geospatial data management, spatial analysis, cartography, and overall GIS solution delivery. You have solid foundational knowledge ...

This role is responsible for developing, validating, and maintaining high-quality spatial and tabular datasets, performing spatial analyses, and ensuring data integrity throughout the project ...

This role is responsible for developing, validating, and maintaining high-quality spatial and tabular datasets, performing spatial analyses, and ensuring data integrity throughout the project ...

This role is responsible for developing, validating, and maintaining high-quality spatial and tabular datasets, performing spatial analyses, and ensuring data integrity throughout the project ...

Software Developer

Broomfield, CO · On-site

$125K - $155K/yr

Dassault Systemes' Spatial Corporation is the heart of 3D modeling in hundreds of applications in ... data preparation. In addition, your work allows you to collaborate with other development teams ...

Vantor is a company focused on spatial intelligence, helping decision makers navigate current and ... data processing and visualization. Responsibilities : • Support the testing and evaluation of ...

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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 2, 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 June 2026, with employment types broken down into 7% As Needed, 36% Full Time, 16% Part Time, 4% Temporary, 33% Contract, and 4% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $136,399 per year, or $65.6 per hour.
Staff Software Engineer

$180K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

Project Canary is a climate technology company offering an enterprise data platform that helps energy companies improve and report on their emissions footprint. Project Canary builds high-fidelity sensors, ingests data from various other technologies and sources, and leverages proprietary analytics and models to deliver insights that operators can act on to reduce emissions. The data-driven technology enables energy operators to stop leaks faster, reduce risk, streamline reporting, and differentiate their operations for key stakeholders.
We're hiring a senior engineer who enjoys solving hard technical problems and wants meaningful ownership in a growing company. 
This is a hybrid role based in downtown Denver, Colorado. We value in-person collaboration and build best when engineers spend meaningful time working side by side, whiteboarding, prototyping, and iterating together. 
  • Ownership of meaningful systems with real influence over technical direction
  • Direct access to product and company leadership
  • Fast feedback loops and fewer layers between idea and implementation
  • A collaborative environment where ideas are debated openly and decisions move quickly
  • Visible impact. Your work will shape the trajectory of the company

WHAT "SENIOR" MEANS HERE 
In our environment, senior engineers:
  • Make sound technical decisions and clearly explain the tradeoffs behind them
  • Step into ambiguity and create clarity for others
  • Deliver reliably and adjust execution based on business priorities
  • Elevate the quality of systems, discussions, and team standards
  • Contribute to a culture of curiosity, accountability, and momentum
Technical Depth and Rigor 
You have demonstrated the ability to reason through complex systems and make sound engineering decisions. That evidence might come from: 
  • Designing and shipping production systems 
  • Building products from 0 to 1 in ambiguous environments 
  • Research, open-source contributions, or other technically rigorous work 
  • Solving problems that required thoughtful system design, tradeoff analysis, or non-obvious technical decisions 
You are comfortable reasoning from first principles, when necessary, rather than relying solely on established patterns. 
We care more about how you think and build than whether your background follows a traditional path. 
Startup Adaptability 
We are a mid-stage startup. Priorities evolve. Documentation is not always perfect. Sometimes the best path forward is not immediately obvious. 
We are drawn to engineers who: 
  • Thrive in environments with evolving structure 
  • Take ownership of learning new systems and domains 
  • Proactively identify next steps rather than waiting for assignments 
  • Stay anchored to business goals, not just technical elegance 

Ownership, Pace, and Judgment 
Strong candidates demonstrate: 
  • Clear reasoning behind architectural decisions 
  • Ability to articulate tradeoffs, not just best practices 
  • Awareness of business context when estimating timelines 
  • The discipline to meet commitments 
  • The judgment to increase intensity when the situation calls for it and to simplify when complexity is not justified 
We value engineers who understand that great software supports real business outcomes. 
Breadth and Curiosity 
We appreciate engineers who: 
  • Have expanded their scope over time through new systems, domains, or increased responsibility 
  • Are comfortable stepping slightly outside their core area when needed 
  • See product, customer impact, and technical design as interconnected 
Deep specialists are welcome, especially those who have increased complexity and ownership within their domain. 
Experience That Is Particularly Relevant, Not Required 
Exposure to complex or real-world data problems is compelling, including: 
  • Systems interacting with physical processes 
  • Geospatial or spatial data 
  • Combining multiple data streams to infer meaningful signals 
  • Problems requiring modeling, interpretation, or non-obvious conclusions 
Strength in some areas can compensate for gaps in others. 
  • Salary range: $180,000-220,000 annual base
  • Hybrid work environment (at least 3 days/week in Denver office)
  • Health, dental, and vision insurance with low deductibles and premiums paid by company 99% for self and 50% for dependents and/or spouse
  • 401K with company match (no vesting period)
  • Student loan assistance
  • Generous culture around time off, including: 
    • Unlimited PTO
    • 6 days of sick time per year 
    • 11 paid company holidays per year 
    • Up to 12 weeks of fully paid parental leave 
  • Dog friendly office environment