{"schemaVersion":"jobsearcher.job.v1","id":"d5ea7151a6212af74284717d","url":"https://jobsearcher.com/jobs/d5ea7151a6212af74284717d","canonicalUrl":"https://jobsearcher.com/jobs/d5ea7151a6212af74284717d","title":"Data Engineer","description":"VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you’ll develop and maintain pipelines and datasets that power reporting, analytics, and AI/ML workloads.\n\nThis role works across both modern and established data technologies, with a focus on improving performance, reliability, data quality, and scalability. We’re looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.\n\nResponsibilities\n\nDesign, build, and maintain scalable ETL/ELT pipelines and datasets in Databricks using Python, Spark, and SQL.\nDevelop and support batch and streaming data architectures for reporting, analytics, and AI/ML workloads.\nTroubleshoot and optimize Databricks and existing data integration processes for performance, reliability, and data latency.\nSupport and enhance existing SQL Server, SSIS, and SSRS solutions while contributing to ongoing platform modernization.\nImplement data quality checks, validation, cleansing, and data warehousing best practices across data pipelines and reporting environments.\nIntegrate Databricks with enterprise applications, databases, and other data sources.\nPartner with business users, analysts, and IT teams to translate reporting and data needs into scalable technical solutions.\nContribute to continuous improvement through emerging data engineering practices, AI-assisted development tools, documentation, and ongoing learning\n\nRequirements\n\nBachelor’s degree in Computer Science, Information Systems, or a related field.\nStrong hands-on experience with Databricks, including Python, Spark, and Delta Lake.\nStrong SQL Server and data warehousing experience, including T-SQL.\nExperience with SSIS and SSRS.\nExperience with Microsoft Azure; Microsoft Fabric is a plus.\nExperience using AI-assisted development tools as part of the engineering workflow.\nStrong analytical, problem-solving, communication, and collaboration skills.","company":"Vas","rawCompany":"vas","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-27T09:56:14.219Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.00","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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you’ll develop and maintain pipelines and datasets that power reporting, analytics, and AI/ML workloads.\n\nThis role works across both modern and established data technologies, with a focus on improving performance, reliability, data quality, and scalability. We’re looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.\n\nResponsibilities\n\nDesign, build, and maintain scalable ETL/ELT pipelines and datasets in Databricks using Python, Spark, and SQL.\nDevelop and support batch and streaming data architectures for reporting, analytics, and AI/ML workloads.\nTroubleshoot and optimize Databricks and existing data integration processes for performance, reliability, and data latency.\nSupport and enhance existing SQL Server, SSIS, and SSRS solutions while contributing to ongoing platform modernization.\nImplement data quality checks, validation, cleansing, and data warehousing best practices across data pipelines and reporting environments.\nIntegrate Databricks with enterprise applications, databases, and other data sources.\nPartner with business users, analysts, and IT teams to translate reporting and data needs into scalable technical solutions.\nContribute to continuous improvement through emerging data engineering practices, AI-assisted development tools, documentation, and ongoing learning\n\nRequirements\n\nBachelor’s degree in Computer Science, Information Systems, or a related field.\nStrong hands-on experience with Databricks, including Python, Spark, and Delta Lake.\nStrong SQL Server and data warehousing experience, including T-SQL.\nExperience with SSIS and SSRS.\nExperience with Microsoft Azure; Microsoft Fabric is a plus.\nExperience using AI-assisted development tools as part of the engineering workflow.\nStrong analytical, problem-solving, communication, and collaboration skills.","datePosted":"2026-08-27T09:56:14.219Z","dateModified":"2026-08-27T09:56:14.219Z","hiringOrganization":{"@type":"Organization","name":"Vas","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d5ea7151a6212af74284717d"},"url":"https://jobsearcher.com/jobs/d5ea7151a6212af74284717d"}}