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# Geospatial Data Engineer

- **Company:** Aperio Global, Llc
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Salary:** $160,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Geographic Information Systems, Agile Methodology, Amazon S3, Data Analysis, ArcGIS (Software), JIRA, Cloud Computing, Information Engineering, DevOps, Elasticsearch, Python (Programming Language), PostgreSQL, Machine Learning, Metadata, PostGIS, Quantum GIS (QGIS), Spatial Data Infrastructures, Tableau (Software), Visual Analytics, Git, Containerization, Information Technology, Geospatial Data Abstraction Library (GDAL), Kibana
- **Published:** August 9, 2026
- **Apply:** https://www.dice.com/job-detail/66d27eb9-4fe2-4359-a445-3836dc8533ef

## About the Role

Active TS/SCI with Polygraph
Bachelor's degree in GIS, Geography, Computer Science, Engineering, Data Science, or related field.
Senior-level experience supporting geospatial engineering, GIS development, or data engineering.
Strong Python development experience for automation and geospatial data processing.
Hands-on experience with ArcGIS Enterprise/Portal and enterprise GIS content management.
Experience with Tableau or similar business intelligence platforms.
Working knowledge of spatial data management, geoprocessing, and PostgreSQL/PostGIS.
Strong analytical, communication, and problem-solving skills.
Preferred Skills

Experience with ArcGIS Pro, ArcPy, GeoPandas, GDAL, QGIS, Shapely, Rasterio, Elasticsearch, Kibana, PostgreSQL/PostGIS, cloud-hosted GIS environments, Amazon S3, Git, Jira, DevOps, containerization, Agile development, spatial analytics, or machine learning.

## Description

Partner with mission stakeholders to understand geospatial data, analytics, and visualization requirements.
Develop Python automation for geospatial data processing, transformation, validation, and publication.
Build, maintain, and enhance ArcGIS Enterprise/Portal content, including hosted feature layers, web maps, dashboards, and map services.
Design Tableau dashboards and visual analytics that communicate complex geospatial information.
Integrate spatial and tabular datasets into scalable analytical solutions.
Manage enterprise geospatial data, metadata, quality assurance, and lifecycle processes.
Create technical documentation and collaborate across multidisciplinary engineering and mission teams.


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