{"schemaVersion":"jobsearcher.job.v1","id":"b700bbdd42e8e3d1aaf39b10","url":"https://jobsearcher.com/jobs/b700bbdd42e8e3d1aaf39b10","canonicalUrl":"https://jobsearcher.com/jobs/b700bbdd42e8e3d1aaf39b10","title":"Data Engineer","description":"Basic QualificationsMinimum 8+ years of overall Data Engineering / Software Engineering experience delivering enterprise-scale data solutions.Minimum 5+ years of strong hands-on Data Engineering experience, including design, development, optimization, and support of production data pipelines.Minimum 3+ years of hands-on Databricks experience, including production experience with:Delta LakeMedallion Architecture – Bronze / Silver / GoldUnity CatalogMinimum 5+ years of hands-on Spark experience, with strong expertise in PySpark specifically, rather than Scala-only Spark development.Minimum 3+ years of AWS data-platform experience, using services such as S3, Glue, Lambda, EMR, Redshift, Kinesis, or related AWS technologies.Minimum 2+ years of experience leading complex data-engineering initiatives, technical workstreams, or engineering teams while remaining hands-on technically.Proven experience combining data engineering and software-engineering practices, including modular development, testing, source control, CI/CD, observability, and production support.Demonstrated daily hands-on use of GitHub Copilot and/or Claude Code CLI, with the ability to describe concrete examples of how these tools are used to accelerate engineering work.Demonstrated ability to build POCs and MVPs rapidly using AI-assisted development.Strong understanding of distributed data-processing principles, large-scale pipeline design, performance optimization, data quality, and production operations.Strong SQL skills and experience working with large enterprise datasets.","company":"Gac Solutions","rawCompany":"gac solutions","city":"St Louis","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-10-11T07:32:10.470Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-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":"Basic QualificationsMinimum 8+ years of overall Data Engineering / Software Engineering experience delivering enterprise-scale data solutions.Minimum 5+ years of strong hands-on Data Engineering experience, including design, development, optimization, and support of production data pipelines.Minimum 3+ years of hands-on Databricks experience, including production experience with:Delta LakeMedallion Architecture – Bronze / Silver / GoldUnity CatalogMinimum 5+ years of hands-on Spark experience, with strong expertise in PySpark specifically, rather than Scala-only Spark development.Minimum 3+ years of AWS data-platform experience, using services such as S3, Glue, Lambda, EMR, Redshift, Kinesis, or related AWS technologies.Minimum 2+ years of experience leading complex data-engineering initiatives, technical workstreams, or engineering teams while remaining hands-on technically.Proven experience combining data engineering and software-engineering practices, including modular development, testing, source control, CI/CD, observability, and production support.Demonstrated daily hands-on use of GitHub Copilot and/or Claude Code CLI, with the ability to describe concrete examples of how these tools are used to accelerate engineering work.Demonstrated ability to build POCs and MVPs rapidly using AI-assisted development.Strong understanding of distributed data-processing principles, large-scale pipeline design, performance optimization, data quality, and production operations.Strong SQL skills and experience working with large enterprise datasets.","datePosted":"2026-10-11T07:32:10.470Z","dateModified":"2026-10-11T07:32:10.470Z","hiringOrganization":{"@type":"Organization","name":"Gac Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"St Louis","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b700bbdd42e8e3d1aaf39b10"},"url":"https://jobsearcher.com/jobs/b700bbdd42e8e3d1aaf39b10"}}