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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Geospatial Data Engineer - TS/SCI with Poly - **Company:** @orchard Llc - **Location:** McLean, VA, United States - **Experience:** Expert - **Salary:** $140,000.0 - $205,700.0 - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Agile Methodology, Amazon S3, Data Analysis, ArcGIS (Software), Confluence, JIRA, Big Data, Data Cleansing, Data Dictionary, Information Engineering, Data Governance, Data Visualization, Relational Databases, DevOps, Elasticsearch, Python (Programming Language), PostgreSQL, Machine Learning, Metadata, Metadata Standards, Performance Tuning, PostGIS, Quantum GIS (QGIS), Query Optimization, Fiona, Software Engineering, Spatial Data Infrastructures, Systems Integration, Tableau (Software), Visual Analytics, Enterprise Data Management, Data Processing, Scripting, Indexer, Information Technology, Geospatial Data Abstraction Library (GDAL), Data Analytics, Data Management, Kibana, Software Version Control, Data Pipelines - **Published:** September 27, 2026 - **Apply:** https://www.jofdav.com/jobs/59893775-senior-geospatial-data-engineer-ts-sci-with-poly ## About the Role * U.S. Citizenship and 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 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., * 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. ## Description We're hiring a Senior Geospatial Data Engineer to join the Services team and to 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. This position requires an active U.S. Government Security Clearance at the TS/SCI level with Polygraph. Candidates without these will not be able to be considered. Responsibilities: * You will support two complementary mission areas: o 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. o 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Debug a Kubernetes Operator](https://www.wearedevelopers.com/videos/487-debug-a-kubernetes-operator) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Add Location-based Searching to Site with ElasticSearch](https://www.wearedevelopers.com/videos/77-add-location-based-searching-to-site-with-elasticsearch) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [Serverless Observability: where SLOs meet transforms](https://www.wearedevelopers.com/videos/854-serverless-observability-where-slos-meet-transforms) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)