Intermediate Geospatial Engineer

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Department Summary:

The Geospatial and Analytic Solutions Department (L174) combines interdisciplinary capabilities across the areas of geography, analytics, remote sensing, and cartography. Department staff apply their expertise to solve a range of challenges in defense, intelligence, homeland security, health, climate, environment. and other areas across the federal government. As a part of MITRE Labs, the Department conducts research into cutting edge capabilities, building prototype geospatial and analytic solutions for eventual transition to sponsor environments.

Roles and Responsibilities:

• Work on multi-disciplinary teams to provide geospatial expertise, as either the sole geospatial subject matter expert or part of a geospatial task team.
• Discover and leverage existing and previous MITRE work to benefit sponsors, building government and MITRE partnerships.
• Support the development and application of geospatial modeling and analytics to sponsor challenges, with a willingness to adapt and learn.
• Work with a spectrum of government sponsors to gain understanding of their challenges, evaluate possible solutions, and conduct insightful, actionable analyses.
• Stay abreast of the changing landscape, new technologies, and current trends in the geospatial industry.
• Be passionate about applying geospatial analytics to real world problems.

Minimum Qualifications:

• Bachelor's degree in a related field with 2 years of experience
• Applied experience with common GIS tools, e.g., Esri, QGIS
• Applied experience developing geospatial workflows and tools using Python, R, JavaScript or Julia
• Ability to construct spatial models from implicit and explicit data to match analytical needs.
• Ability to identify and incorporate geospatial analytics into data-driven decisions and products.
• Ability to explain technical approaches to non-technical audiences.
• Applied experience with spatial database design and management.
• Applied experience employing software development best practices.
• Applied experience in ETL of spatiotemporal datasets.
• Applied experience working with remotely sensed data, such as LiDAR, Satellite/Aerial imagery, or SAR data.
• Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information.

Preferred Qualifications:

• Active Secret or Top Secret clearance
• Experience with geospatial data science, spatial machine learning, and GeoAI
• Experience with other software development languages, e.g., C++, Java, C#, JavaScript
• Familiarity with integrating geospatial workflows into cloud environments, e.g., AWS, Azure, GovCloud
• Familiarity with web-mapping, e.g., OpenLayers, Leaflet, Keppler, MapBox, ArcGIS JS

This requisition requires the candidate to have a minimum of the following clearance(s):

None

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Secret

Work Location Type:

Hybrid

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