{"schemaVersion":"jobsearcher.job.v1","id":"6ea22fb55da22c8a657ecff6","url":"https://jobsearcher.com/jobs/6ea22fb55da22c8a657ecff6","canonicalUrl":"https://jobsearcher.com/jobs/6ea22fb55da22c8a657ecff6","title":"Data Engineer, Analytics","description":"Title: Senior Data Engineer\r\nLocation: Carmel, IN\r\nContract to Hire\r\nWe are seeking a highly skilled Data Engineer with expertise in Microsoft Fabric, Python, and business intelligence, along with a strong background in data engineering, analytics, and cloud solutions. This role is critical in designing, optimizing, and maintaining scalable data pipelines, ensuring efficient data processing and integration across business systems. You will collaborate with cross-functional teams to enhance data accessibility, automation, and analytics-driven decision-making.\r\nAfter one year as our Data Engineer, you will know you were successful if you can confidently and independently do the following… Design, build, and optimize Fabric Pipelines for seamless data movement, transformation, and automation.\r\nImplement Fabric Data Factory workflows for ETL orchestration, ensuring performance, scalability, and efficiency within a Fabric-driven ecosystem.\r\nArchitect Lakehouse structures using Fabric's Bronze, Silver, and Gold Medallion methodology for organized, high-quality data processing.\r\nDevelop warehouse best practices, ensuring optimal data partitioning, indexing, and retrieval strategies.\r\nEnsure data integrity, security, and governance through Microsoft Purview and Fabric compliance frameworks.\r\nOptimize query performance within Lakehouse and Warehouse environments, leveraging Delta Lake & SQL engines for efficient data access.\r\nIntegrate APIs and external systems to enhance interoperability, automation, and data accessibility across Fabric environments.\r\nCollaborate with business leaders and engineering teams to drive data-driven decision-making and automation.\r\nStay ahead of emerging trends in Microsoft Fabric, cloud-native data processing, and AI-enhanced analytics.\r\nRequirements Bachelor's or master's degree in computer science, Data Engineering, Business Intelligence, or related fields.\r\nMinimum experience requirements: At least one year of relevant experience with a master's degree or three years with a bachelor's degree in data engineering, analytics, or cloud data management.\r\nExpertise in Microsoft Fabric, Medallion Architecture, Fabric Data Factory, and Lakehouse design principles.\r\nStrong proficiency in Python, SQL, Power Query, and Delta Lake management.\r\nExperience designing and managing data models optimized for efficient processing within cloud environments.\r\nSolid understanding of cloud computing, DevOps, and containerization (Docker, Kubernetes).\r\nExcellent problem-solving and analytical skills, ensuring scalable, automated, and highly performant data systems\r\nJ-18808-Ljbffr","company":"ManpowerGroup Global","rawCompany":"manpowergroup global","city":"Carmel","state":"IN","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:34:27.477Z","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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer, Analytics","description":"Title: Senior Data Engineer\r\nLocation: Carmel, IN\r\nContract to Hire\r\nWe are seeking a highly skilled Data Engineer with expertise in Microsoft Fabric, Python, and business intelligence, along with a strong background in data engineering, analytics, and cloud solutions. This role is critical in designing, optimizing, and maintaining scalable data pipelines, ensuring efficient data processing and integration across business systems. You will collaborate with cross-functional teams to enhance data accessibility, automation, and analytics-driven decision-making.\r\nAfter one year as our Data Engineer, you will know you were successful if you can confidently and independently do the following… Design, build, and optimize Fabric Pipelines for seamless data movement, transformation, and automation.\r\nImplement Fabric Data Factory workflows for ETL orchestration, ensuring performance, scalability, and efficiency within a Fabric-driven ecosystem.\r\nArchitect Lakehouse structures using Fabric's Bronze, Silver, and Gold Medallion methodology for organized, high-quality data processing.\r\nDevelop warehouse best practices, ensuring optimal data partitioning, indexing, and retrieval strategies.\r\nEnsure data integrity, security, and governance through Microsoft Purview and Fabric compliance frameworks.\r\nOptimize query performance within Lakehouse and Warehouse environments, leveraging Delta Lake & SQL engines for efficient data access.\r\nIntegrate APIs and external systems to enhance interoperability, automation, and data accessibility across Fabric environments.\r\nCollaborate with business leaders and engineering teams to drive data-driven decision-making and automation.\r\nStay ahead of emerging trends in Microsoft Fabric, cloud-native data processing, and AI-enhanced analytics.\r\nRequirements Bachelor's or master's degree in computer science, Data Engineering, Business Intelligence, or related fields.\r\nMinimum experience requirements: At least one year of relevant experience with a master's degree or three years with a bachelor's degree in data engineering, analytics, or cloud data management.\r\nExpertise in Microsoft Fabric, Medallion Architecture, Fabric Data Factory, and Lakehouse design principles.\r\nStrong proficiency in Python, SQL, Power Query, and Delta Lake management.\r\nExperience designing and managing data models optimized for efficient processing within cloud environments.\r\nSolid understanding of cloud computing, DevOps, and containerization (Docker, Kubernetes).\r\nExcellent problem-solving and analytical skills, ensuring scalable, automated, and highly performant data systems\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:34:27.477Z","dateModified":"2026-08-08T01:34:27.477Z","hiringOrganization":{"@type":"Organization","name":"ManpowerGroup Global","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Carmel","addressRegion":"IN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6ea22fb55da22c8a657ecff6"},"url":"https://jobsearcher.com/jobs/6ea22fb55da22c8a657ecff6"}}