Geospatial Data Systems Engineer

Closure Technologies is an innovative IT consulting and software engineering company that helps government organizations solve complex technical challenges. The company specializes in custom software development, cloud infrastructure, cybersecurity, systems integration, and data analytics, delivering scalable solutions that improve operational efficiency and drive mission success. With a collaborative and problem-solving culture, Closure Technologies is committed to building high-impact technology solutions that are delivered on time, within budget, and tailored to each client’s unique needs. Closure Technologies is seeking a Geospatial Data Systems Engineer in McLean, Virginia. Clearance Requirement: TS/SCI with Polygraph Key Responsibilities 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. Required Qualifications Senior Labor Category: 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 Active TS/SCI security clearance with polygraph. 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 curating geospatial data holdings, including organizing datasets, maintaining metadata, improving discoverability, and ensuring data quality. 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. Preferred Qualifications Advanced Tableau experience, including dashboard development, calculated fields, filters, data preparation, publishing, and maintaining products for operational users. Experience with ArcGIS Pro, ArcPy, GeoPandas, 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 geospatial query optimization. Experience with Elasticsearch, Kibana, or similar search, analytics, and visualization tools. Familiarity with data governance, data stewardship, metadata standards, data quality, Agile practices, Jira, Confluence, DevOps principles, version control, or containerized workflows. Background in spatial statistics, predictive analytics, machine learning, or advanced geospatial modeling.