Software Engineer (Full Stack)

Responsibilities: Develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data. Work with Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering. Build scalable, secure web applications, implementing metadata-driven search and retrieval features, and integrating APIs for seamless data interoperability is required. Qualifications: Active TS/SCI Clearance A Bachelor’s degree in Computer Science, Data Engineering, or a related field -OR- A minimum of 5 years of equivalent experience in full-stack development and data engineering. Must have demonstrated experience in Developing and deploying full-stack applications that enable data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases. Implementing RESTful and GraphQL APIs for seamless data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources. Managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms to ensure secure access to research products. Optimizing database queries and indexing strategies for large-scale geospatial and structured datasets. Desired but not Required Certifications: AWS Certified Data Analytics – Specialty, Microsoft Certified: Azure Data Engineer Associate, or ESRI ArcGIS Developer Certification.