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land loss and vegetation change at high spatial resolution Work closely with remote-sensing scientists, modelers, and empiricists across DOE laboratories and universities to address project objectives
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Requisition Id 16689 Overview: We are seeking a Geospatial Data Architect who will focus on designing and governing data ecosystems that support spatial analytics, modeling, and operational
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and enthusiastic to take on problems across the software stack as we continue to solve complex national scale security problems in the areas of spatial computing. As part of our outstanding organization
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and successful project delivery Design, develop, and manage spatial data platforms and solutions within Software-as-a-Service (SaaS) and Data-as-a-Service (DaaS) environments Deliver capabilities
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simulation codes require a mesh to discretize the spatial domain of interest. For some applications, generating this mesh has historically been a labor-intensive process because it is shown to be a leading
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simulation codes require a mesh to discretize the spatial domain of interest. For some applications, generating this mesh has historically been a labor-intensive process because it is shown to be a leading
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simulation codes require a mesh to discretize the spatial domain of interest. For some applications, generating this mesh has historically been a labor-intensive process because it is shown to be a leading
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simulation codes require a mesh to discretize the spatial domain of interest. For some applications, generating this mesh has historically been a labor-intensive process because it is shown to be a leading
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staff to be flexible and be enthusiastic to take on problems across the organization as we continue to solve complex global scale problems in the areas associated with spatial computing. The Geospatial
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research user workflows. Preferred: experience with geospatial data workflows, including large geospatial/raster/vector datasets, spatial ETL pipelines, and performance considerations for geospatial