Senior Geospatial Data Engineer

Geospatial Technologist

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can:
Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance at the TS/SCI level with required Polygraph.

Build mission-critical geospatial data and analytics capabilities. This role is built for 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 ideal candidate is part geospatial programmer, part data librarian, and part visualization developer. You 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.

This is a hands-on role for someone who can work independently across offices, engage directly with mission customers, and turn complex spatial and tabular datasets into trusted, discoverable, and decision-ready products.

You will support two complementary mission areas:

• Geospatial Data Curation, Portal, and Visualization Manage, curate, publish, and maintain geospatial datasets, hosted feature layers, web maps, dashboards, and data products in ArcGIS Portal. Ensure mission users have access to accurate, well-organized, current, and usable geospatial information.
• Data Processing, Analytics, and Tableau Reporting Use Python, Tableau, ArcGIS, and related tools to process large datasets, automate workflows, prepare data for analysis, and build visual analytics products that reveal patterns, trends, anomalies, and operationally relevant insights.

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 security clearance with polygraph.
• Bachelor's degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline.
• 12+ years of professional experience in geospatial technology, software development, data engineering, data analysis, or a related technical field.
• Strong Python…