Data Engineer

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.

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.