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Geospatial Data Science Intern Jobs in Denver, CO

Cushman & Wakefield

Junior Data Scientist

Denver, CO · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cushman & Wakefield

Junior Data Scientist

Denver, CO · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cushman & Wakefield

Junior Data Scientist

Denver, CO · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Cushman & Wakefield

Junior Data Scientist

Denver, CO · On-site

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Lynker Corporation

Geospatial Scientist

Boulder, CO

... 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 ...

Lynker Corporation

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 ...

Lynker Corporation

Geospatial Scientist

Boulder, CO

$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 ...

Lynker Corporation

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 ...

CACI International, Inc.

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 ...

CACI International, Inc.

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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All JobsGeospatial Data Science Intern JobsGeospatial Data Science Intern Jobs in Denver, CO

Geospatial Data Science Intern information

See Denver, CO salary details

$12

$23

$43

How much do geospatial data science intern jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for geospatial data science intern in Denver, CO is $23.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.84 and $25.24 per hour, depending on experience, location, and employer.

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 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 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 Denver, CO? For Geospatial Data Science Intern jobs in Denver, CO, the most frequently searched job titles are:
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Geospatial Data Science Intern jobs near you
Infographic showing various Geospatial Data Science Intern job openings in Denver, CO as of August 2026, with employment types broken down into 6% Internship, 53% Full Time, 29% Part Time, and 12% Temporary. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $48,180 per year, or $23.2 per hour.

Senior Geospatial Data Engineer

CACI International Inc

Denver, CO • On-site

$109K - $148K/yr

Full-time

Re-posted 2 hours ago

Job description

Job Summary:
CACI International Inc is focused on delivering geospatial data infrastructure and analytical capabilities for intelligence decisions. As a Senior Geospatial Data Engineer, you will lead the development of geospatial data pipelines and visualization tools, working closely with NGA mission users to enhance their interaction with geospatial data.
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)
Preferred:
• Familiarity with OGC service standards (WMS, WFS, WCS)
• Experience operating within SAFe or Agile delivery frameworks
• CI Poly clearance
Company:
At CACI International Inc (NYSE: CACI), our 27,000 talented and dynamic employees are ever vigilant in delivering distinctive expertise and technology to meet our customers’ greatest challenges in national security. Founded in 1962, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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