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Geospatial Data Engineer Jobs in Denver, CO (NOW HIRING)

Quantix

Java Engineer (Big Data)

Denver, CO

$57.50 - $76/hr

Java Engineer (Big Data) Location: Denver, CO Type: Direct Hire Client located in Denver, Colorado ... Desired Skills: 1) Kafka. 2) Spark. 3) Hadoop. 4) Cassandra. 5) AWS. 6) Geospatial data.

Lynker Corporation

Geospatial Scientist

Boulder, CO · On-site

... engineering, earth science, computer science, or a related field; or a Bachelor's plus 2 years of relevant experience; or equivalent hands-on experience with DEMs, raster/vector geospatial data, or ...

New

Quantix

DevOps Engineer (Big Data)

Denver, CO

$54.25 - $74.25/hr

... Engineer (Big Data) Location: Denver, CO Type: Direct Hire Client located in Denver, Colorado is ... Cassandra. 6) Geospatial data. Qualifications Required Skills: 1) Java. 2) AWS. 3) Big Data.

Lynker Corporation

Geospatial Scientist

Boulder, CO · On-site +1

$80K - $110K/yr

... engineering, earth science, computer science, or a related field; or a Bachelor's plus 2 years of relevant experience; or equivalent hands-on experience with DEMs, raster/vector geospatial data, or ...

New

Lynker Corporation

Geospatial Scientist

Boulder, CO · On-site

$80K - $110K/yr

... engineering, earth science, computer science, or a related field; or a Bachelor's plus 2 years of relevant experience; or equivalent hands-on experience with DEMs, raster/vector geospatial data, or ...

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Geospatial Data Engineer information

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How much do geospatial data engineer jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for geospatial data engineer in Denver, CO is $47.99, according to ZipRecruiter salary data. Most workers in this role earn between $36.88 and $59.38 per hour, depending on experience, location, and employer.

What are some common challenges faced by Geospatial Data Engineers on the job?

Geospatial Data Engineers frequently encounter challenges related to integrating large and diverse spatial datasets from multiple sources, ensuring data quality, and optimizing data for efficient querying and analysis. Managing changing project requirements and staying updated with evolving geospatial technologies are also common aspects of the role. In addition, collaborating with data scientists, analysts, and GIS specialists requires clear communication to translate technical data into actionable outputs. Navigating these challenges effectively helps engineers deliver robust geospatial solutions that support business and research goals.

What are the key skills and qualifications needed to thrive in the Geospatial Data Engineer position, and why are they important?

To thrive as a Geospatial Data Engineer, you need solid expertise in geospatial data processing, spatial databases, GIS concepts, and programming languages like Python or SQL, typically backed by a relevant degree in geoinformatics, computer science, or a related field. Familiarity with tools such as ArcGIS, QGIS, PostGIS, and cloud platforms, as well as certifications like GISP, are highly valued. Strong analytical thinking, attention to detail, and collaborative communication enhance performance in multidisciplinary teams. These skills are vital for accurately transforming complex spatial data into actionable insights and delivering reliable solutions in geospatial projects.

What is a Geospatial Data Engineer job?

A Geospatial Data Engineer is responsible for designing, developing, and managing systems that process and analyze spatial data. They work with geographic information systems (GIS), databases, and cloud platforms to handle large-scale geospatial datasets. Their role involves data pipeline development, spatial analysis, and optimizing geospatial data storage and retrieval. They collaborate with analysts, scientists, and developers to support location-based decision-making.

What are the most commonly searched types of Geospatial Data Engineer jobs in Denver, CO? The most popular types of Geospatial Data Engineer jobs in Denver, CO are:
What are popular job titles related to Geospatial Data Engineer jobs in Denver, CO? For Geospatial Data Engineer jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer jobs in Denver, CO look for? The top searched job categories for Geospatial Data Engineer jobs in Denver, CO are:
Geospatial Data Engineer jobs near you
Infographic showing various Geospatial Data Engineer job openings in Denver, CO as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $99,829 per year, or $48 per hour.

Senior Geospatial Data Engineer

CACI International Inc

Denver, CO • On-site

$109K - $148K/yr

Full-time

Re-posted 23 days 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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