{"schemaVersion":"jobsearcher.job.v1","id":"10dd2e36827ea01d0bcf7742","url":"https://jobsearcher.com/jobs/10dd2e36827ea01d0bcf7742","canonicalUrl":"https://jobsearcher.com/jobs/10dd2e36827ea01d0bcf7742","title":"Data Scientist - Databricks Genie & AI Analytics","description":"Overview\nIn this role you will build AI-powered analytics on the Databricks platform to help both business and technical users access data via natural language. You will shape Genie-enabled analytics, develop semantic models and governance processes, and deliver end-to-end data pipelines and notebooks. You’ll work within a mission-focused delivery team to accelerate decision-making for federal clients, leveraging RAG, LLM, and AI agents. This is a hands-on position that combines data science with data engineering to transform how enterprise data is used.\n\nCompensation / Benefitsgenerous and flexible time-off policyflexible work schedules and telework optionsmentorship program and training opportunitiestuition reimbursement and paid traininghealth plans including dental and vision401K matching with 5% contribution\nResponsibilitiesDesign, develop, and deploy advanced analytics and ML solutions using DatabricksConfigure and optimize Databricks Genie spaces for natural language data accessDevelop semantic models, metadata structures, and governance to improve Genie responsesBuild and maintain notebooks, workflows, dashboards, and data pipelines in DatabricksCollaborate with data engineers to ensure governed datasets for Genie and AI appsSupport retrieval-augmented generation (RAG), LLM, and AI-agent use cases leveraging Databricks capabilities\nKey requirementsBachelor's degree and 3+ years IT experience3+ years in data science, ML, or AI/ML engineering2+ years hands-on Databricks experienceExperience configuring and administering Databricks GenieStrong Python, SQL, PySparkExperience developing semantic layers and metadata structuresExperience with structured and unstructured dataStrong data governance, data quality, and metadata managementExperience with Azure, AWS, or GCPAbility to explain complex analytics to non-tech stakeholdersClear communication to non-technical stakeholdersCross-functional collaborationProblem-solving mindsetDatabricks platformDatabricks GeniePython","company":"Dev Technology Group","rawCompany":"dev technology group","city":"Tulsa","state":"OK","isRemote":false,"isActive":true,"createdAt":"2026-09-15T05:08:30.072Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-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":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist - Databricks Genie & AI Analytics","description":"Overview\nIn this role you will build AI-powered analytics on the Databricks platform to help both business and technical users access data via natural language. You will shape Genie-enabled analytics, develop semantic models and governance processes, and deliver end-to-end data pipelines and notebooks. You’ll work within a mission-focused delivery team to accelerate decision-making for federal clients, leveraging RAG, LLM, and AI agents. This is a hands-on position that combines data science with data engineering to transform how enterprise data is used.\n\nCompensation / Benefitsgenerous and flexible time-off policyflexible work schedules and telework optionsmentorship program and training opportunitiestuition reimbursement and paid traininghealth plans including dental and vision401K matching with 5% contribution\nResponsibilitiesDesign, develop, and deploy advanced analytics and ML solutions using DatabricksConfigure and optimize Databricks Genie spaces for natural language data accessDevelop semantic models, metadata structures, and governance to improve Genie responsesBuild and maintain notebooks, workflows, dashboards, and data pipelines in DatabricksCollaborate with data engineers to ensure governed datasets for Genie and AI appsSupport retrieval-augmented generation (RAG), LLM, and AI-agent use cases leveraging Databricks capabilities\nKey requirementsBachelor's degree and 3+ years IT experience3+ years in data science, ML, or AI/ML engineering2+ years hands-on Databricks experienceExperience configuring and administering Databricks GenieStrong Python, SQL, PySparkExperience developing semantic layers and metadata structuresExperience with structured and unstructured dataStrong data governance, data quality, and metadata managementExperience with Azure, AWS, or GCPAbility to explain complex analytics to non-tech stakeholdersClear communication to non-technical stakeholdersCross-functional collaborationProblem-solving mindsetDatabricks platformDatabricks GeniePython","datePosted":"2026-09-15T05:08:30.072Z","dateModified":"2026-09-15T05:08:30.072Z","hiringOrganization":{"@type":"Organization","name":"Dev Technology Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tulsa","addressRegion":"OK","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"10dd2e36827ea01d0bcf7742"},"url":"https://jobsearcher.com/jobs/10dd2e36827ea01d0bcf7742"}}