{"schemaVersion":"jobsearcher.job.v1","id":"ddb081dbcf7c177fe3ecb9aa","url":"https://jobsearcher.com/jobs/ddb081dbcf7c177fe3ecb9aa","canonicalUrl":"https://jobsearcher.com/jobs/ddb081dbcf7c177fe3ecb9aa","title":"Azure Databricks Developer","description":"Azure Databricks DeveloperBrooksourceFortune 50 Health Insurance ClientOverviewWe are seeking a highly skilled Azure Databricks Developer to design, build, and optimize scalable data solutions within a cloud-based SaaS environment. This role is a key contributor to an enterprise-wide Master Data Management (MDM) platform that serves as the system of record across multiple business domains.You will play a critical role in developing high-performance data ingestion pipelines, integrating diverse source systems, and enabling seamless data flow (ingress and egress) across a large-scale ecosystem. The platform supports millions of records—including customer and insurance profile data—and is central to organizational decision-making.This is an excellent opportunity for a hands-on data engineer who thrives in a fast-paced, collaborative environment and enjoys working on high-impact, enterprise-scale data platforms.Key ResponsibilitiesDesign and implement high-performance data ingestion pipelines using Azure Databricks and Apache SparkBuild scalable, reusable frameworks for ingesting and processing large and complex datasets, including geospatial dataIntegrate multiple source systems into a centralized SaaS-based MDM platformEnable robust data ingress and egress capabilities across enterprise applicationsDevelop and maintain APIs and system integrations for cross-platform data exchangeSupport and enhance Master Data Management (MDM) processes to ensure a consistent “golden record” across systemsDeliver and present proofs of concept (POCs) to stakeholders for new technologies and solutionsImplement and uphold quality assurance standards, including testing, debugging, and performance optimizationTroubleshoot complex data and software issues, identifying root causes and implementing solutionsCollaborate with cross-functional teams including product, engineering, and business stakeholdersApply automation and AI-driven techniques to improve efficiency and scalabilityParticipate in Agile ceremonies (daily scrums, sprint planning, retrospectives)Required QualificationsBachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)3–5 years of experience in software or data engineeringHands-on experience with:Azure DatabricksPython and PySparkC#API development and system integrationApache KafkaStrong understanding of distributed data systems and modern data architecturesExperience working in Agile/Scrum environmentsSolid knowledge of databases and web technologiesStrong analytical, problem-solving, and troubleshooting skillsExcellent communication skills and ability to work cross-functionallyPreferred QualificationsExperience with large-scale, enterprise data platformsExposure to Master Data Management (MDM) concepts and toolsExperience processing geospatial dataFamiliarity with AI/ML applications in data engineering workflowsProficiency in additional languages such as Java or .NET","company":"Brooksource","rawCompany":"brooksource","city":"Louisville","state":"KY","isRemote":false,"isActive":false,"createdAt":"2026-04-19T02:50:21.663Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Azure Databricks Developer","description":"Azure Databricks DeveloperBrooksourceFortune 50 Health Insurance ClientOverviewWe are seeking a highly skilled Azure Databricks Developer to design, build, and optimize scalable data solutions within a cloud-based SaaS environment. This role is a key contributor to an enterprise-wide Master Data Management (MDM) platform that serves as the system of record across multiple business domains.You will play a critical role in developing high-performance data ingestion pipelines, integrating diverse source systems, and enabling seamless data flow (ingress and egress) across a large-scale ecosystem. The platform supports millions of records—including customer and insurance profile data—and is central to organizational decision-making.This is an excellent opportunity for a hands-on data engineer who thrives in a fast-paced, collaborative environment and enjoys working on high-impact, enterprise-scale data platforms.Key ResponsibilitiesDesign and implement high-performance data ingestion pipelines using Azure Databricks and Apache SparkBuild scalable, reusable frameworks for ingesting and processing large and complex datasets, including geospatial dataIntegrate multiple source systems into a centralized SaaS-based MDM platformEnable robust data ingress and egress capabilities across enterprise applicationsDevelop and maintain APIs and system integrations for cross-platform data exchangeSupport and enhance Master Data Management (MDM) processes to ensure a consistent “golden record” across systemsDeliver and present proofs of concept (POCs) to stakeholders for new technologies and solutionsImplement and uphold quality assurance standards, including testing, debugging, and performance optimizationTroubleshoot complex data and software issues, identifying root causes and implementing solutionsCollaborate with cross-functional teams including product, engineering, and business stakeholdersApply automation and AI-driven techniques to improve efficiency and scalabilityParticipate in Agile ceremonies (daily scrums, sprint planning, retrospectives)Required QualificationsBachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)3–5 years of experience in software or data engineeringHands-on experience with:Azure DatabricksPython and PySparkC#API development and system integrationApache KafkaStrong understanding of distributed data systems and modern data architecturesExperience working in Agile/Scrum environmentsSolid knowledge of databases and web technologiesStrong analytical, problem-solving, and troubleshooting skillsExcellent communication skills and ability to work cross-functionallyPreferred QualificationsExperience with large-scale, enterprise data platformsExposure to Master Data Management (MDM) concepts and toolsExperience processing geospatial dataFamiliarity with AI/ML applications in data engineering workflowsProficiency in additional languages such as Java or .NET","datePosted":"2026-04-19T02:50:21.663Z","dateModified":"2026-04-19T02:50:21.663Z","hiringOrganization":{"@type":"Organization","name":"Brooksource","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Louisville","addressRegion":"KY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ddb081dbcf7c177fe3ecb9aa"},"url":"https://jobsearcher.com/jobs/ddb081dbcf7c177fe3ecb9aa"}}