Full-Stack Data Engineer

Full-Stack Data EngineerBase-2 Solutions is seeking a Full-Stack Data Engineer to support USSOUTHCOM J26 ENHANCED DOMAIN AWARENESS task order. The role involves developing, maintaining, and optimizing data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data. The candidate must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering.Essential Duties and ResponsibilitiesDevelop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for geospatial and structured data visualization.Work with Data Lakes platforms including Databricks, Kubernetes, and ESRI ArcGIS environments.Build scalable, secure web applications with metadata-driven search and retrieval features.Integrate APIs for seamless data interoperability.Develop and deploy full-stack applications enabling data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.Implement RESTful and GraphQL APIs for data retrieval and integration between Data Lake, ESRI ArcGIS, and external sources.Manage CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms to ensure secure access to research products.Optimize database queries and indexing strategies for large-scale geospatial and structured datasets.Required QualificationsBachelor'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.Demonstrated experience developing and deploying full-stack applications for data visualization, dashboarding, and analytics within ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.Experience implementing RESTful and GraphQL APIs for data retrieval and integration.Experience managing CI/CD pipelines, containerized deployments in Kubernetes, and API authentication mechanisms.Experience optimizing database queries and indexing strategies for large-scale geospatial and structured datasets.Preferred QualificationsAWS Certified Data Analytics – Specialty.Microsoft Certified: Azure Data Engineer Associate.ESRI ArcGIS Developer Certification.Required Education and Experience EquivalencyBachelor's degree in Computer Science, Data Engineering, or a related field.OR 5 years of equivalent experience in full-stack development and data engineering.Required CertificationsNone specified.Required Security ClearanceActive Top Secret/SCI