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Geospatial Data Science Intern Jobs in Colorado (NOW HIRING)

... data sources, and QA results; collaborate across the Science, Modeling, and Platform teams to keep ... Qualifications The Geospatial Scientist selected should have the following: * Master's in ...

Geospatial Scientist

Boulder, CO · On-site +1

$80K - $110K/yr

... data sources, and QA results; collaborate across the Science, Modeling, and Platform teams to keep ... Qualifications The Geospatial Scientist selected should have the following: * Master's in ...

Geospatial Scientist

Boulder, CO · On-site

$85 - $125/hr

... data sources, and QA results; collaborate across the Science, Modeling, and Platform teams to keep ... Qualifications The Geospatial Scientist selected should have the following: * Master's in ...

Geospatial Scientist

Boulder, CO · On-site

$90 - $140/hr

... data sources, and QA results; collaborate across the Science, Modeling, and Platform teams to keep ... Qualifications The Geospatial Scientist selected should have the following: * Master's in ...

Geospatial Scientist

Boulder, CO · On-site

$80K - $110K/yr

... data sources, and QA results; collaborate across the Science, Modeling, and Platform teams to keep ... The Geospatial Scientist selected should have the following: * Master's in geospatial science ...

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 ...

Environmental Data Scientist

Boulder, CO · On-site

$75K - $105K/yr

A working sense of geospatial data science, including experience with GIS tooling and spatial datasets (e.g., R, ArcGIS, QGIS, Google Earth Engine). * Comfort thinking structurally about data schemas ...

Environmental Data Scientist

Boulder, CO · On-site +1

$75K - $105K/yr

A working sense of geospatial data science, including experience with GIS tooling and spatial datasets (e.g., R, ArcGIS, QGIS, Google Earth Engine). * Comfort thinking structurally about data schemas ...

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 ...

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Geospatial Data Science Intern information

What is a geospatial data science intern?

A Geospatial Data Science Intern helps analyze and interpret spatial data using GIS, statistical methods, and machine learning. They work with mapping tools, databases, and coding languages like Python or R to extract insights from geographic information. Interns may assist in data collection, visualization, and model development for applications in urban planning, environmental science, transportation, and more. This role provides hands-on experience with geospatial technologies and real-world problem-solving.

What types of projects or tasks can a geospatial data science intern expect to work on?

As a Geospatial Data Science Intern, you may assist with tasks such as cleaning, analyzing, and visualizing geospatial datasets, creating maps and spatial models, or developing scripts to automate data processing workflows. Interns often support research projects related to urban planning, environmental analysis, logistics, or public health, depending on the industry and team focus. You'll likely work closely with a mix of data scientists, GIS analysts, and subject matter experts, gaining exposure to real-world applications of spatial data. This hands-on project work can help build your portfolio and provide valuable experience that supports future career growth in geospatial science and analytics.

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

To thrive as a Geospatial Data Science Intern, you need a background in data science, spatial analysis, and GIS concepts, ideally supported by coursework or a degree in geography, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, Python, SQL, and data visualization platforms is commonly expected, while knowledge of remote sensing or geospatial databases is a plus. Problem-solving abilities, attention to detail, and strong communication skills help interns excel in collaborative, project-driven environments. These skills are crucial for effectively analyzing spatial data and successfully contributing to innovative geospatial solutions.

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

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

What job categories do people searching Geospatial Data Science Intern jobs in Colorado look for?

The top searched job categories for Geospatial Data Science Intern jobs in Colorado are:

What cities in Colorado are hiring for Geospatial Data Science Intern jobs?

Cities in Colorado with the most Geospatial Data Science Intern job openings:

Infographic showing various Geospatial Data Science Intern job openings in Colorado as of August 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.

Cloud-Native Geospatial Data Scientist

Lynker Corporation

Boulder, CO • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 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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