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Spatial Data Jobs in Colorado (NOW HIRING)

Algorithm Engineer

Westminster, CO · On-site +1

$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 ...

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 ...

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 ...

You will design, develop, and maintain ESRI-based web applications, enterprise integrations, and spatial data solutions while delivering reliable, secure, and high-performing GIS systems. As the GIS ...

GIS Team Lead

Fort Collins, CO · On-site

$83K - $111K/yr

Demonstrated work experience applying spatial data standards. * Demonstrate experience in all of the following: environmental-related GIS, Esri's ArcGIS software, cartography, and data development ...

Product Designer

Broomfield, CO · On-site

$115K - $130K/yr

Ensure designs account for the unique challenges of spatial data visualization and 3D navigation Outcomes: Users can effectively visualize, navigate, and analyze complex geospatial and 3D ...

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 ...

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 ...

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 ...

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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 23, 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.

Algorithm Engineer

Maxar

Westminster, CO • On-site, Remote

$102K - $136K/yr

Full-time

Retirement

Posted 6 days ago


Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

Vantor is seeking an Algorithm Engineer to help develop next-generation solutions in computer vision, geospatial analytics, and photogrammetry. This role requires a strong mathematical and statistical foundation, sensor model expertise, and experience developing image processing algorithms. The ideal candidate will contribute to solving challenging problems involving imagery, spatial data, sensor modeling, and AI-enabled workflows while collaborating with multidisciplinary engineering teams.Key Responsibilities
  • Design, develop, and optimize image processing algorithms.
  • Apply mathematical and statistical techniques to solve engineering problems.
  • Research, prototype, and implement solutions leveraging machine learning and computer vision technologies.
  • Collaborate with software engineers, geospatial specialists, and product teams to develop scalable solutions.
  • Analyze large datasets and imagery to improve system accuracy and performance.
  • Participate in system design, code reviews, and technical discussions.
  • Contribute to the development and refinement of AI-enabled workflows and engineering practices.
  • Support the validation and testing of algorithms to ensure accuracy, robustness, and performance.
Required Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Applied Mathematics, Statistics, Physics, Remote Sensing, Geospatial Sciences, or a related technical field.
  • 2-5 years of relevant industry or research experience.
  • Experience working with or supporting sensor models.
  • Strong statistical background, including experience applying statistical methods to engineering problems.
  • Strong mathematical foundation with the ability to apply quantitative methods to technical challenges.
  • Experience designing, implementing, and validating algorithms.
  • Experience with multivariable and physical statistical models.
  • Familiarity with AI-assisted software development tools and AI agents used in engineering workflows.
  • Flexible and willing to transition easily between tasks that may vary in scope and technical focus.
  • Excellent analytical, problem-solving, and debugging skills.
  • Strong written and verbal communication skills with the ability to work effectively on multidisciplinary teams.
Preferred Qualifications
  • Master's degree in Computer Science, Computer Engineering, Statistics, Applied Mathematics, Physics, Remote Sensing, Geospatial Sciences, or a related technical field.
  • Experience with geospatial, photogrammetric, or remote sensing applications.
  • Experience with machine learning frameworks and modern AI technologies.
  • Experience transitioning research concepts into production software systems.
  • Experience working with AWS cloud services.
  • Experience with Kubernetes and containerized application environments.

Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role.

The base pay for this position within Colorado is: $102,000.00 - $136,000.00 - $149,600.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at:https://www.Vantor.com/careers

Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.