Full Stack Data Engineer

Full-Stack Data Engineer (SOUTHCOM)Doral, FLDescriptionFull-Stack Data Engineer  At Celestar, a B&A Company, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and recognition. We have incorporated these values into successful delivery for our customers since 1988. B&A believes in ensuring its employees feel deeply connected to B&A, recognizing successes and hard work, and providing continuous opportunities to learn and grow. Our people are entrepreneurial thinkers that combine mindset, vision, and experience to drive value – not only to us as an organization, but to the clients we support. We promote a collaborative culture with our clients, and with each other, as one team working towards a common vision. We’d love for you to join our team!Job SummaryB&A is looking for a Full-Stack Data Engineer in support of an important mission. In this role, you will have the opportunity to work with a great team while supporting SOUTHCOM.ResponsibilitiesProposed personnel possess the knowledge and capability to develop, maintain, and optimize data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data.Personnel must be proficient in Data Lakes platforms such as Databricks, Kubernetes, ESRI ArcGIS environments, and cloud-based data engineering.Expertise in building scalable, secure web applications, implementing metadata-driven search and retrieval features, and integrating APIs for seamless dataEducation and Experience 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. Required Skills 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 Certifications AWS Certified Data Analytics – Specialty, Microsoft Certified: Azure Data Engineer Associate, or ESRI ArcGIS Developer Certification. Security ClearanceActive TS/SCI