Geospatial Web Applications Developer
The Geospatial Application Developer serves as a technical lead within the Geospatial Applications and Technology (GAT) unit. This position is responsible for the design, development, enhancement, and maintenance of interactive, state-of-the-art, web-based GIS solutions and applications, ensuring compliance with Maryland’s accessibility standards. The role performs advanced geospatial analyses within an enterprise-level Microsoft SQL Server environment, upholding strong data governance practices and providing quality assurance for analytical outputs. Additionally, this role provides support for the 2030 Census. The Geospatial Application Developer supports the Department’s strategic goals and statewide initiatives through modern, data-driven solutions.
Serve as a technical lead to develop, deploy, and maintain interactive GIS web applications and dashboards using ArcGIS Enterprise, Portal, ArcGIS API for JavaScript, and related frameworks such as Power BI, Qlik etc., for high impact GIS projects. Utilize Python, SQL, and other programming languages to automate workflows and integrate advanced analytics into web solutions. Ensure responsive design and compliance with State and departmental accessibility standards for public-facing platforms.
Serves as a technical lead on conducting a range of spatial analyses using Python, SQL, along with ArcGIS Pro. Reviews and validates analytical methods, scripts, and outputs produced by junior staff or project teams. Embed analytical outputs into dynamic web tools, dashboards, and visualizations for stakeholders.
Lead the development and implementation of spatial data policies, procedures, and metadata standards to ensure data quality, integrity, security, and lifecycle management within the enterprise GIS environment. Identify, evaluate, and lead the integration of new GIS tools, software, database architecture, and automation processes including advancements in machine learning (ML) and artificial intelligence (AI) to continuously improve operational efficiency. Create and maintain comprehensive technical documentation, including data dictionaries, and conduct training sessions to ensure staff compliance with established GIS operational standards and best practices.




