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Geospatial Data Scientist Jobs in Colorado (NOW HIRING)

Data storage & management: design and maintain storage for large raster and vector datasets ... Qualifications The Geospatial Scientist selected should have the following: * Master's in ...

Geospatial Scientist

Boulder, CO · On-site +1

$80K - $110K/yr

Data storage & management: design and maintain storage for large raster and vector datasets ... Qualifications The Geospatial Scientist selected should have the following: * Master's in ...

Geospatial Scientist

Boulder, CO · On-site

$85 - $125/hr

Data storage & management: design and maintain storage for large raster and vector datasets ... Qualifications The Geospatial Scientist selected should have the following: * Master's in ...

Geospatial Scientist

Boulder, CO · On-site

$90 - $140/hr

Data storage & management: design and maintain storage for large raster and vector datasets ... Qualifications The Geospatial Scientist selected should have the following: * Master's in ...

Geospatial Scientist

Boulder, CO · On-site

$80K - $110K/yr

Data storage & management: design and maintain storage for large raster and vector datasets ... The Geospatial Scientist selected should have the following: * Master's in geospatial science ...

Data Scientist - Mid

Denver, CO · On-site

$69K - $141K/yr

Apply data science and analytics to real mission problems for the National Geospatial-Intelligence Agency (NGA). * Join a collaborative team turning large, complex geospatial datasets into insights ...

Senior Data Scientist

Denver, CO · On-site

$82K - $172K/yr

Work at the intersection of data science and geospatial intelligence, turning large, complex datasets into decision advantage. * Collaborate directly with analysts and mission users to shape analytic ...

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Geospatial Data Scientist information

See Colorado salary details

$39.4K

$129.1K

$206.6K

How much do geospatial data scientist jobs pay per year?

As of Aug 25, 2026, the average yearly pay for geospatial data scientist in Colorado is $129,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $143,000.00 per year, depending on experience, location, and employer.

What is a geospatial data scientist?

A Geospatial Data Scientist analyzes spatial and geographic data to extract insights, create predictive models, and support decision-making. They use tools like GIS, remote sensing, machine learning, and statistical analysis to process location-based data. Their work spans various industries, including urban planning, environmental monitoring, agriculture, and logistics. By leveraging spatial data, they help optimize operations, manage resources, and solve complex geographic problems.

What does a geospatial data scientist do?

As a Geospatial Data Scientist, your daily tasks often involve collecting, cleaning, and analyzing spatial datasets using GIS tools and programming languages. You may be responsible for developing spatial models, visualizing geographic data through interactive maps, and generating reports to help guide strategic decisions. Collaboration with professionals from engineering, urban planning, or environmental science teams is common, requiring you to communicate complex analyses in a clear and actionable manner. Additionally, you might participate in project meetings to align your work with organizational goals and stakeholder needs. This dynamic role blends technical analysis with communication and teamwork, making each day varied and intellectually stimulating.

What are the key skills and qualifications needed to thrive as a geospatial data scientist?

Geospatial Data Scientists require expertise in spatial analysis, statistics, and data modeling, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), programming languages like Python or R, and familiarity with spatial databases are often expected, while certifications in GIS can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills help professionals translate complex data into actionable insights and work well with diverse teams. Mastery of these skills ensures accurate geospatial analyses and supports informed, data-driven decision making in various industries.

How much does a geospatial data scientist make?

A geospatial data scientist's salary typically ranges from $70,000 to $130,000 annually, depending on experience, education, location, and industry. Senior roles or those with specialized skills in GIS tools and programming may earn higher compensation.

Is geospatial data scientist still in demand?

Yes, geospatial data scientists are in high demand due to the increasing use of geographic information systems (GIS), remote sensing, and spatial analysis across industries such as urban planning, environmental management, and transportation. The role often requires skills in programming, data analysis, and tools like Python, R, and GIS software, with strong job growth projected in the coming years.

What are the most commonly searched types of Geospatial Data Scientist jobs in Colorado?

The most popular types of Geospatial Data Scientist jobs in Colorado are:

What are popular job titles related to Geospatial Data Scientist jobs in Colorado?

For Geospatial Data Scientist jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Geospatial Data Scientist jobs?

Cities in Colorado with the most Geospatial Data Scientist job openings:

Infographic showing various Geospatial Data Scientist job openings in Colorado as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $129,062 per year, or $62 per hour.

Cloud-Native Geospatial Data Scientist

Boulder, CO • On-site

Lynker Corporation
201 - 500 employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Overview

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts.As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Geospatial Scientist to join our growing team.

We work with terabytes of terrain, hydrography, and imagery, and much of the value comes from organizing it so a modeler can actually find and use it. At Lynker, we build the hydrologic and environmental data behind water models used nationwide, and we deliver it the way modern geospatial teams do: as cloud-native data and live products, not static files and one-off analyses. These two roles build that pipeline and the products that run on top of it.

We are hiring two Geospatial Scientists with strong software development skills. One role leans toward data infrastructure: STAC catalogs, cloud-optimized formats (Cloud Optimized GeoTIFFs, GeoParquet, and Zarr), and scalable processing pipelines. The other leans toward operational products: turning that data into hydrologic and environmental layers, services, and regularly updated scientific products. Most of the work is in Python, and a background in hydrology or environmental science is a strong advantage. Candidates with deep strengths in one area and an interest in growing into the other are encouraged to apply;

Responsibilities

Duties of the Geospatial Scientist will include the following:

SHARED RESPONSIBILITIES:

  • Software development: write and maintain clean, tested Python that runs reliably over large areas.
  • Large-scale data: work with large raster and vector datasets using cloud-native formats and storage.
  • Collaboration: build things other teams can use, working with the Platform, Science, Modeling, and Applications teams.

E EMPHASIS ONE: DATA PIPELINES & CLOUD-NATIVE INFRASTRUCTURE

E

  • Catalogs & formats: build and maintain STAC catalogs and cloud-optimized data (COG, GeoParquet, Zarr) so large datasets are searchable and quick to access.
  • Pipelines: write reproducible pipelines that process terrain, hydrography, and imagery at regional to continental scale, using distributed compute.
  • Services: stand up and run the services that publish and tile the data, such as pgSTAC and TiTiler, and keep them reliable and versioned.

EMPHASIS TWO: GEOSPATIAL PRODUCTS & ENVIRONMENTAL ANALYSIS

  • Products: turn data into hydrologic and environmental map layers, and help move models into operational scientific products and forecasts that are regularly updated.

  • Analysis: apply remote sensing and, where appropriate, machine learning to environmental and land-cover mapping.

  • Usable outputs: make outputs that are clear and usable for scientists, partners, and downstream applications.

Qualifications

The Geospatial Scientist selected should have the following:

  • Master's in geospatial science, geography, environmental or earth science, hydrology, computer science, or a related field; or a Bachelor's plus 2 years building geospatial data pipelines, tools, or cloud-native services; or equivalent hands‑on experience in place of a degree.
  • Strong Python and solid software habits: Git, testing, and code review.
  • Real experience with cloud-native geospatial formats and services, and hands‑on AWS experience (our primary cloud); GCP or Azure experience also welcome.
  • Solid geospatial fundamentals: projections, raster and vector data, and common GIS tools.

The Ideal Geospatial Scientist will have the following:

  • Experience with the STAC ecosystem and tools such as pgSTAC, stac-fastapi, or TiTiler.
  • Distributed processing with Dask, Spark, cloud batch, or Google Earth Engine.
  • The modern geospatial Python stack: xarray, rasterio, geopandas, and formats like COG, GeoParquet, and Zarr.
  • Infrastructure-as-Code and CI/CD for AWS deployments (e.g., Terraform or CloudFormation, Docker, GitHub Actions).
  • Turning models or analyses into operational, regularly updated products or forecasts.
  • Machine learning and remote sensing for environmental or land-cover work.
  • Background in hydrology or environmental science.
  • Colorado Front Range presence for periodic in-person collaboration.

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities – creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) – we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

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