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Senior Geospatial Data EngineerDormont Manufacturing Company • Denver, Colorado, United States
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Senior Geospatial Data Engineer

Dormont Manufacturing Company
  • US
    Denver, Colorado, United States
  • US
    Denver, Colorado, United States
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About

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: 8/1/2026
The Opportunity CACIs 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.
Required Qualifications
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 Qualifications
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 $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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  • Denver, Colorado, United States

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  • English
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