{"schemaVersion":"jobsearcher.job.v1","id":"6a9af9a2bce8fbcd2b56675d","url":"https://jobsearcher.com/jobs/6a9af9a2bce8fbcd2b56675d","canonicalUrl":"https://jobsearcher.com/jobs/6a9af9a2bce8fbcd2b56675d","title":"Data Engineer","description":"Description\nSUMMARY\nThe Data Engineer will support the data pipeline operations of solar product manufacturing lines, assisting with data gathering, processing, analysis, and visualization.\nResponsibilities\nAssist in defining and extracting manufacturing data from multiple sources, and support integration into a target database, application, or file using efficient programming practices\nSupport the design and development of data visualizations to convey information to engineers and technicians\nDevelop and help maintain scripts for ETL process support, monitoring, and basic performance tuning\nCollaborate with cross-functional teams to help identify and resolve data quality and operational issues\nMaintain existing data pipelines and support enhancement requests for visualizations.\nRequired Qualifications\nBachelor's degree in a quantitative discipline (e.g. Computer Science, Statistics, Industrial Engineering, Management Information Systems, or a related field) with 2+ years of relevant experience\nFamiliarity with relational databases such as Oracle, Microsoft SQL or MySQL\nBasic understanding of Object-Oriented Programming concepts\nStrong analytical, problem-solving, and written/verbal communication skills\nAbility to work independently and collaboratively in a team environment\nEagerness to learn and grow within a fast-paced manufacturing environment\nPreferred Qualifications\nMaster’s degree in quantitative discipline(e.g. Computer Science, Statistics, Industrial Engineering, Electrical Engineering, Chemical Engineering or a related field)\nExposure to the manufacturing industry, such as solar PV, display or semiconductors\nFamiliarity with data visualization tools; Spotfire, Tableau, Power BI, etc.\nExposure to big data technologies; Hadoop, Spark, Kafka, etc.\nExposure to cloud platforms; AWS, Azure, or GCP (e.g. coursework, certifications, or personal projects)","company":"Qcell","rawCompany":"qcell","city":"Cartersville","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-08-05T16:12:36.944Z","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":"221114","title":"Solar Electric Power Generation","slug":"solar-electric-power-generation"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Description\nSUMMARY\nThe Data Engineer will support the data pipeline operations of solar product manufacturing lines, assisting with data gathering, processing, analysis, and visualization.\nResponsibilities\nAssist in defining and extracting manufacturing data from multiple sources, and support integration into a target database, application, or file using efficient programming practices\nSupport the design and development of data visualizations to convey information to engineers and technicians\nDevelop and help maintain scripts for ETL process support, monitoring, and basic performance tuning\nCollaborate with cross-functional teams to help identify and resolve data quality and operational issues\nMaintain existing data pipelines and support enhancement requests for visualizations.\nRequired Qualifications\nBachelor's degree in a quantitative discipline (e.g. Computer Science, Statistics, Industrial Engineering, Management Information Systems, or a related field) with 2+ years of relevant experience\nFamiliarity with relational databases such as Oracle, Microsoft SQL or MySQL\nBasic understanding of Object-Oriented Programming concepts\nStrong analytical, problem-solving, and written/verbal communication skills\nAbility to work independently and collaboratively in a team environment\nEagerness to learn and grow within a fast-paced manufacturing environment\nPreferred Qualifications\nMaster’s degree in quantitative discipline(e.g. Computer Science, Statistics, Industrial Engineering, Electrical Engineering, Chemical Engineering or a related field)\nExposure to the manufacturing industry, such as solar PV, display or semiconductors\nFamiliarity with data visualization tools; Spotfire, Tableau, Power BI, etc.\nExposure to big data technologies; Hadoop, Spark, Kafka, etc.\nExposure to cloud platforms; AWS, Azure, or GCP (e.g. coursework, certifications, or personal projects)","datePosted":"2026-08-05T16:12:36.944Z","dateModified":"2026-08-05T16:12:36.944Z","hiringOrganization":{"@type":"Organization","name":"Qcell","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cartersville","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6a9af9a2bce8fbcd2b56675d"},"url":"https://jobsearcher.com/jobs/6a9af9a2bce8fbcd2b56675d"}}