{"schemaVersion":"jobsearcher.job.v1","id":"210c8a6d67c9e846a71806f3","url":"https://jobsearcher.com/jobs/210c8a6d67c9e846a71806f3","canonicalUrl":"https://jobsearcher.com/jobs/210c8a6d67c9e846a71806f3","title":"Full-Stack Data Engineer","description":"Position Description: Position Summary\nThe Full-Stack Data Engineer supports mission-critical objectives under the referenced work order by developing, maintaining, and optimizing data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data. This role ensures scalable, secure, and metadata-driven data applications across enterprise and cloud environments.\n\nThis future opportunity is contingent upon award.\n\nJob Description\nThe Full-Stack Data Engineer is responsible for designing and deploying full-stack applications that enable data visualization, dashboarding, and analytics for ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.\nThe role involves implementing RESTful and GraphQL APIs to support seamless data integration between Data Lake environments, ESRI ArcGIS platforms, and external sources.\nAdditional responsibilities include managing CI/CD pipelines, containerized deployments in Kubernetes, implementing API authentication and access controls, and optimizing database queries and indexing strategies for large-scale geospatial and structured datasets. The engineer will collaborate closely with data governance, DevOps, and research teams to ensure interoperability, security, and performance of data applications.\nRequired Qualifications and Experience\nThe contractor shall provide personnel who meet one of the following requirements:\nBachelors degree in Computer Science, Data Engineering, or a related discipline; or\nA minimum of five (5) years of equivalent professional experience in full-stack development and data engineering.\nCandidates must have demonstrated experience in the following areas:\nDeveloping and deploying full-stack applications for data visualization and analytics within ESRI GIS platforms, Unity Catalog, and cloud databases.\nImplementing RESTful and GraphQL APIs for seamless data retrieval and integration.\nManaging CI/CD pipelines and containerized deployments in Kubernetes.\nEnsuring secure access through API authentication and authorization mechanisms.\nOptimizing database queries, indexing, and performance for geospatial and structured datasets.\nRequired Skills and Competencies\nStrong knowledge of full-stack development, data engineering, and cloud-native platforms.\nExperience with Databricks, Kubernetes, ESRI ArcGIS, and cloud-based data environments.\nExpertise in metadata-driven search, retrieval, and data interoperability.\nStrong analytical, problem-solving, and collaboration skills.\nAbility to translate research and governance requirements into functional, secure applications.\nEducation\nBachelors degree in a related field, or an equivalent combination of education and relevant experience.\nAWS Certified Data Analytics Specialty (Preferred, Not Required).\nMicrosoft Certified: Azure Data Engineer Associate (Preferred, Not Required).\nESRI ArcGIS Developer Certification (Preferred, Not Required).\nClearance Requirement\nAn active security clearance at the level specified by the program is required, or the ability to obtain and maintain the required clearance.\n\nQuiet Professionals is located in the Greater Tampa Bay Area. We provide innovative and sustainable solutions that enhance the operational effectiveness of our clients and partners.\n\nQP is proud to be an equal opportunity, disability, and veteran employer. Our team of Quiet Professionals is highly driven, innovative, and results oriented. We empower our teams creativity, knowledge, and expertise to support client needs by fostering a diverse, inclusive, and supportive workplace. We understand that diversity fuels innovation and drives our success. We offer comprehensive benefits designed to serve the needs of our workforce.","company":"Quiet Professionals","rawCompany":"quiet professionals","city":"Pembroke Pines","state":"FL","isRemote":false,"isActive":false,"createdAt":"2026-04-14T11:03:57.938Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Full-Stack Data Engineer","description":"Position Description: Position Summary\nThe Full-Stack Data Engineer supports mission-critical objectives under the referenced work order by developing, maintaining, and optimizing data integration pipelines, API services, and front-end interfaces for accessing and visualizing geospatial and structured data. This role ensures scalable, secure, and metadata-driven data applications across enterprise and cloud environments.\n\nThis future opportunity is contingent upon award.\n\nJob Description\nThe Full-Stack Data Engineer is responsible for designing and deploying full-stack applications that enable data visualization, dashboarding, and analytics for ESRI-based GIS platforms, Unity Catalog, and cloud-based databases.\nThe role involves implementing RESTful and GraphQL APIs to support seamless data integration between Data Lake environments, ESRI ArcGIS platforms, and external sources.\nAdditional responsibilities include managing CI/CD pipelines, containerized deployments in Kubernetes, implementing API authentication and access controls, and optimizing database queries and indexing strategies for large-scale geospatial and structured datasets. The engineer will collaborate closely with data governance, DevOps, and research teams to ensure interoperability, security, and performance of data applications.\nRequired Qualifications and Experience\nThe contractor shall provide personnel who meet one of the following requirements:\nBachelors degree in Computer Science, Data Engineering, or a related discipline; or\nA minimum of five (5) years of equivalent professional experience in full-stack development and data engineering.\nCandidates must have demonstrated experience in the following areas:\nDeveloping and deploying full-stack applications for data visualization and analytics within ESRI GIS platforms, Unity Catalog, and cloud databases.\nImplementing RESTful and GraphQL APIs for seamless data retrieval and integration.\nManaging CI/CD pipelines and containerized deployments in Kubernetes.\nEnsuring secure access through API authentication and authorization mechanisms.\nOptimizing database queries, indexing, and performance for geospatial and structured datasets.\nRequired Skills and Competencies\nStrong knowledge of full-stack development, data engineering, and cloud-native platforms.\nExperience with Databricks, Kubernetes, ESRI ArcGIS, and cloud-based data environments.\nExpertise in metadata-driven search, retrieval, and data interoperability.\nStrong analytical, problem-solving, and collaboration skills.\nAbility to translate research and governance requirements into functional, secure applications.\nEducation\nBachelors degree in a related field, or an equivalent combination of education and relevant experience.\nAWS Certified Data Analytics Specialty (Preferred, Not Required).\nMicrosoft Certified: Azure Data Engineer Associate (Preferred, Not Required).\nESRI ArcGIS Developer Certification (Preferred, Not Required).\nClearance Requirement\nAn active security clearance at the level specified by the program is required, or the ability to obtain and maintain the required clearance.\n\nQuiet Professionals is located in the Greater Tampa Bay Area. We provide innovative and sustainable solutions that enhance the operational effectiveness of our clients and partners.\n\nQP is proud to be an equal opportunity, disability, and veteran employer. Our team of Quiet Professionals is highly driven, innovative, and results oriented. We empower our teams creativity, knowledge, and expertise to support client needs by fostering a diverse, inclusive, and supportive workplace. We understand that diversity fuels innovation and drives our success. We offer comprehensive benefits designed to serve the needs of our workforce.","datePosted":"2026-04-14T11:03:57.938Z","dateModified":"2026-04-14T11:03:57.938Z","hiringOrganization":{"@type":"Organization","name":"Quiet Professionals","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pembroke Pines","addressRegion":"FL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"210c8a6d67c9e846a71806f3"},"url":"https://jobsearcher.com/jobs/210c8a6d67c9e846a71806f3"}}