Geospatial Data Systems Engineer

This role requires a cleared geospatial technologist who can bridge two mission offices: one focused on geospatial data curation, ArcGIS Portal products, and operational visualization; the other focused on data processing, analytics, and Tableau-driven reporting. The subcontractor will be part geospatial programmer, part data librarian, and part visualization developer. The subcontractor will use Python to process and analyze large geospatial datasets, manage and curate authoritative data holdings, maintain ArcGIS Portal content, and build dashboards, web maps, feature layers, and visual analytics products that help mission users make faster, better-informed decisions.

• Partner with mission users to understand geospatial data needs, analytic questions, visualization requirements, and operational workflows.
• Identify, acquire, clean, transform, validate, curate, and publish large geospatial and tabular datasets from diverse sources.
• Develop Python scripts and tools to automate geospatial data processing, quality control, enrichment, transformation, and publication workflows.
• Manage and update ArcGIS Portal content, including hosted feature layers, map services, web maps, dashboards, data hubs, and related geospatial products.
• Build and maintain Tableau dashboards, reports, and analytic visualizations used by the data processing office and mission stakeholders.
• Apply sound cartographic design, symbology, labeling, layer management, metadata practices, and performance tuning to improve the usability of geospatial products.
• Integrate structured, unstructured, tabular, and spatial datasets into cohesive analytical and visualization environments.
• Support geospatial data library functions, including dataset organization, metadata creation, version management, quality control, discoverability, and lifecycle maintenance.
• Develop documentation, data dictionaries, standard operating procedures, user guidance, and technical recommendations that support repeatable data management and visualization workflows.
• Work independently across two office environments while collaborating with multidisciplinary teams and communicating technical concepts clearly to both technical and non-technical audiences.

• Active TS/SCI with Polygraph Clearance
• Minimum 8 years of experience with a Bachelor’s degree; or 7 years of experience with a Master’s degree; or 6 years of experience with a Doctorate
• Bachelor’s degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline.
• 8+ years of professional experience in geospatial technology, software development, data engineering, data analysis, or a related technical field.
• Strong Python experience for geospatial data processing, automation, transformation, analysis, and workflow improvement.
• Demonstrated experience working with large geospatial datasets, including cleaning, formatting, joining, enriching, validating, and preparing data for analysis or publication.
• Hands-on experience with ArcGIS Enterprise, ArcGIS Portal, or ArcGIS Online, including publishing and maintaining hosted feature layers, web maps, dashboards, and geospatial content.
• Experience developing dashboards, reports, or analytic visualizations in Tableau or a comparable business intelligence platform.
• Understanding of geospatial data formats, projections, coordinate systems, spatial joins, geoprocessing workflows, cartographic principles, and spatial data management.
• Experience with relational databases, preferably PostgreSQL/PostGIS, for storing, querying, and managing spatial or tabular data.
• Strong analytical, problem-solving, communication, and customer engagement skills.
• Proven ability to work independently with minimal guidance while coordinating effectively across teams, offices, and mission stakeholders.

• Advanced Tableau experience, including dashboard development, calculated fields, filters, data preparation, publishing, and maintaining products for operational users.
• Experience with ArcGIS Pro, Arc Py, Geo Pandas, Shapely, Fiona, Rasterio, GDAL, QGIS, or similar geospatial tools and libraries.
• Experience building repeatable data pipelines for geospatial data ingestion, processing, validation, and publication.
• Experience with cloud-hosted datasets, Amazon S3, ArcGIS Hub-style environments, or secure integrations between enterprise data repositories and ArcGIS Portal.
• Experience with PostgreSQL/PostGIS performance tuning, spatial indexing, and…