{"schemaVersion":"jobsearcher.job.v1","id":"bf804e8c60ae490305f60c20","url":"https://jobsearcher.com/jobs/bf804e8c60ae490305f60c20","canonicalUrl":"https://jobsearcher.com/jobs/bf804e8c60ae490305f60c20","title":"Data Engineer","description":"Data EngineerThe Data Engineer works within the ETL and Operations team to build high quality data pipelines driving analytic solutions from diverse, disparate sources of data.\r\nThis role requires a comprehensive understanding of data architecture, data engineering, and data analysis. The ideal candidate is a skilled data engineer with experience creating data products supporting analytic solutions. They are able to identify and implement solutions in a highly technical environment and work as part of a technical, cross-functional team. Strong problem-solving and troubleshooting skills are a must.\r\nThis role focuses on designing, developing, and maintaining datasets within AWS. Day-to-day responsibilities include:\r\nCoordinating, building, and managing new data ingests\r\nArchitecting updates, fixes, and optimizations across suite of production jobs\r\nProviding feedback on and enacting changes for improvements across the team including both technical and process updates\r\nLearn and assess new technologies for implementation through proof-of-concept projects and testing\r\nMentoring junior developers\r\nPartnering with data analysts and data scientists to design, build, and deploy aggregation processes\r\nTop Skills:\r\nHadoop/Hive experience\r\nVery Strong SQL\r\nAWS experience (EMR, Lambda, Glue, Step Functions)\r\nExperience working with large data sets (billions of records per day)\r\nWrite and review code\r\nPython scripting (PySpark, control scripts)\r\nArchitecting/designing data pipelines\r\nQuery and data pipeline optimization\r\nStrong communication and collaboration skills\r\nAbility to help others and mentor junior resources\r\nNice to have:\r\nSpark\r\nScala\r\nGit\r\nShell scripting\r\nLinux","company":"Software Technology","rawCompany":"software technology","city":"Kings Mills","state":"OH","isRemote":false,"isActive":false,"createdAt":"2026-08-09T01:25:24.311Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-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 EngineerThe Data Engineer works within the ETL and Operations team to build high quality data pipelines driving analytic solutions from diverse, disparate sources of data.\r\nThis role requires a comprehensive understanding of data architecture, data engineering, and data analysis. The ideal candidate is a skilled data engineer with experience creating data products supporting analytic solutions. They are able to identify and implement solutions in a highly technical environment and work as part of a technical, cross-functional team. Strong problem-solving and troubleshooting skills are a must.\r\nThis role focuses on designing, developing, and maintaining datasets within AWS. Day-to-day responsibilities include:\r\nCoordinating, building, and managing new data ingests\r\nArchitecting updates, fixes, and optimizations across suite of production jobs\r\nProviding feedback on and enacting changes for improvements across the team including both technical and process updates\r\nLearn and assess new technologies for implementation through proof-of-concept projects and testing\r\nMentoring junior developers\r\nPartnering with data analysts and data scientists to design, build, and deploy aggregation processes\r\nTop Skills:\r\nHadoop/Hive experience\r\nVery Strong SQL\r\nAWS experience (EMR, Lambda, Glue, Step Functions)\r\nExperience working with large data sets (billions of records per day)\r\nWrite and review code\r\nPython scripting (PySpark, control scripts)\r\nArchitecting/designing data pipelines\r\nQuery and data pipeline optimization\r\nStrong communication and collaboration skills\r\nAbility to help others and mentor junior resources\r\nNice to have:\r\nSpark\r\nScala\r\nGit\r\nShell scripting\r\nLinux","datePosted":"2026-08-09T01:25:24.311Z","dateModified":"2026-08-09T01:25:24.311Z","hiringOrganization":{"@type":"Organization","name":"Software Technology","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Kings Mills","addressRegion":"OH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bf804e8c60ae490305f60c20"},"url":"https://jobsearcher.com/jobs/bf804e8c60ae490305f60c20"}}