{"schemaVersion":"jobsearcher.job.v1","id":"a903be4298538d4e3169e4b3","url":"https://jobsearcher.com/jobs/a903be4298538d4e3169e4b3","canonicalUrl":"https://jobsearcher.com/jobs/a903be4298538d4e3169e4b3","title":"Senior Data Intelligence Engineer.","description":"Overview\nIn this role, you will lead the design, deployment and scaling of cloud-based data platforms to deliver actionable insights. You will work with cross-functional teams to transform data into reliable, scalable solutions such as data warehouses and data lakes. You’ll apply analytics to drive decision-making and ensure performance and reliability of data systems. This is a hands-on, impact-focused opportunity to shape Ampcus’s data landscape and enable data-driven value creation.\n\nResponsibilitiesDevelop and maintain data infrastructure (data warehouses, data lakes) and data access APIsPrepare, manipulate, and model data using multiple technologiesInterpret data and generate actionable insights through quantitative analysesSupport data-driven decision-making for key projectsDesign and manage quality control for data sets across systemsBuild data models and plan data architecture, including indexing, storage, and recoveryCreate data collection frameworks for structured and unstructured dataImplement ETL/ELT processes to connect large datasets from diverse sourcesApply best practices for data auditing, scalability, reliability, and performance\nKey requirementsBachelor-level degree in CS/IT/Engineering or related field5 years of experience with database design and modelingExperience with ETL/ELT scripts and ETL development in AWSProficiency with SQL, NoSQL, and PythonStrong analytical, problem-solving, and communication skillsAbility to handle multiple priorities in a fast-paced environmentKnowledge of data movement concepts and data exchange formatsImmediate disclosure of any debarment or ineligibility for federal health care programsstrong communication skillsproblem-solvingability to handle multiple prioritiesSQLNoSQLPython","company":"Ampcus","rawCompany":"ampcus","city":"McLean","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-09-15T03:59:43.992Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Intelligence Engineer.","description":"Overview\nIn this role, you will lead the design, deployment and scaling of cloud-based data platforms to deliver actionable insights. You will work with cross-functional teams to transform data into reliable, scalable solutions such as data warehouses and data lakes. You’ll apply analytics to drive decision-making and ensure performance and reliability of data systems. This is a hands-on, impact-focused opportunity to shape Ampcus’s data landscape and enable data-driven value creation.\n\nResponsibilitiesDevelop and maintain data infrastructure (data warehouses, data lakes) and data access APIsPrepare, manipulate, and model data using multiple technologiesInterpret data and generate actionable insights through quantitative analysesSupport data-driven decision-making for key projectsDesign and manage quality control for data sets across systemsBuild data models and plan data architecture, including indexing, storage, and recoveryCreate data collection frameworks for structured and unstructured dataImplement ETL/ELT processes to connect large datasets from diverse sourcesApply best practices for data auditing, scalability, reliability, and performance\nKey requirementsBachelor-level degree in CS/IT/Engineering or related field5 years of experience with database design and modelingExperience with ETL/ELT scripts and ETL development in AWSProficiency with SQL, NoSQL, and PythonStrong analytical, problem-solving, and communication skillsAbility to handle multiple priorities in a fast-paced environmentKnowledge of data movement concepts and data exchange formatsImmediate disclosure of any debarment or ineligibility for federal health care programsstrong communication skillsproblem-solvingability to handle multiple prioritiesSQLNoSQLPython","datePosted":"2026-09-15T03:59:43.992Z","dateModified":"2026-09-15T03:59:43.992Z","hiringOrganization":{"@type":"Organization","name":"Ampcus","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a903be4298538d4e3169e4b3"},"url":"https://jobsearcher.com/jobs/a903be4298538d4e3169e4b3"}}