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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.

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.

Quantix

Java Engineer (Big Data)

Denver, CO · On-site

$57.50 - $76/hr

They are seeking a Java Engineer with a Big Data focus to join a team of developers and work on ... • AWS • Geospatial data Company : Quantix is a transportation company that provides ...

RES

Geospatial Technician

Denver, CO · On-site +1

$24.05 - $30.06/hr

Collects additional field data, including surveyed ground points. * Processes and analyzes ... engineering documents, etc. * Prepares and manages metadata. * Performs quality assurance and ...

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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 1, 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

$189K/yr

Full-time

Medical, Retirement, PTO

Re-posted 23 days ago

Job description

Job Title: Senior Geospatial Data Engineer
Job Category: Engineering
Time Type: Full time
Minimum Clearance Required to Start: TS/SCI
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Continental US
Anticipated Posting End: 1/1/2027
The Opportunity:
CACI's AGIS Release Train delivers the geospatial data infrastructure and analytical capabilities that NGA analysts rely on every day to drive intelligence decisions. Our team operates at the intersection of cutting-edge open-source geospatial technology and mission-critical intelligence workflows - building the pipelines, visualization tools, and analytical environments that transform raw geospatial data into decision advantage.
As a Senior Geospatial Data Engineer, you will lead pipeline development, tool integration, and visualization capability delivery across a FOSS4G-centric stack. You will work directly with NGA mission users and AGIS delivery teams to shape how intelligence professionals interact with geospatial data - from ingest all the way to analyst-facing visualization.
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)
Desired:
Familiarity with OGC service standards (WMS, WFS, WCS)
Experience operating within SAFe or Agile delivery frameworks
CI Poly clearance
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$90,300 - 189,600 USD
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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