{"schemaVersion":"jobsearcher.job.v1","id":"42d3d19ec461b06473c8479c","url":"https://jobsearcher.com/jobs/42d3d19ec461b06473c8479c","canonicalUrl":"https://jobsearcher.com/jobs/42d3d19ec461b06473c8479c","title":"Data Engineer","description":"Data Engineer PositionThe following experience requirements are necessary for the data engineer position:\r\n5+ years of experience as a data engineer or in a similar role\r\n5+ years of cloud-based data architecture and/or engineering\r\n5+ years of experience designing, developing and maintaining ETL and ELT processes\r\n5+ years working with healthcare systems analysis/programming preferred\r\n5+ years of data lake/enterprise data warehouse experience\r\nExperience with several querying languages, schema definition languages, and scripting languages\r\nExperience with writing and optimizing SQL queries in a business environment with large-scale, complex data sets\r\nExperience with working with large data sets, data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments\r\nStrong knowledge of various data warehousing methodologies and data modeling concepts. Hands on modelling experience is highly desired\r\nKnowledge of professional software engineering practices for the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing and operations\r\nData engineering certification is a plus\r\nThe essential functions for this role include:\r\nDesign, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources\r\nDesign data schema and operate internal data warehouses and SQL database systems\r\nOwn the design, development and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.\r\nMonitor and troubleshoot operational or data issues in the data pipelines.\r\nDrive architectural plans and implementation for future data storage, reporting, and analytic solutions.\r\nWork collaboratively with business analysts, data scientists, and other internal partners to identify opportunities/problems.\r\nProvide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of an error.","company":"Software Technology","rawCompany":"software technology","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-09T01:25:07.211Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Data Engineer PositionThe following experience requirements are necessary for the data engineer position:\r\n5+ years of experience as a data engineer or in a similar role\r\n5+ years of cloud-based data architecture and/or engineering\r\n5+ years of experience designing, developing and maintaining ETL and ELT processes\r\n5+ years working with healthcare systems analysis/programming preferred\r\n5+ years of data lake/enterprise data warehouse experience\r\nExperience with several querying languages, schema definition languages, and scripting languages\r\nExperience with writing and optimizing SQL queries in a business environment with large-scale, complex data sets\r\nExperience with working with large data sets, data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments\r\nStrong knowledge of various data warehousing methodologies and data modeling concepts. Hands on modelling experience is highly desired\r\nKnowledge of professional software engineering practices for the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing and operations\r\nData engineering certification is a plus\r\nThe essential functions for this role include:\r\nDesign, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources\r\nDesign data schema and operate internal data warehouses and SQL database systems\r\nOwn the design, development and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.\r\nMonitor and troubleshoot operational or data issues in the data pipelines.\r\nDrive architectural plans and implementation for future data storage, reporting, and analytic solutions.\r\nWork collaboratively with business analysts, data scientists, and other internal partners to identify opportunities/problems.\r\nProvide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of an error.","datePosted":"2026-08-09T01:25:07.211Z","dateModified":"2026-08-09T01:25:07.211Z","hiringOrganization":{"@type":"Organization","name":"Software Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"42d3d19ec461b06473c8479c"},"url":"https://jobsearcher.com/jobs/42d3d19ec461b06473c8479c"}}