Data Engineer Security Clearance

Position: Data Engineer with Security Clearance
Day to Day:

-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.

Minimum Qualifications:

-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.