{"schemaVersion":"jobsearcher.job.v1","id":"830aba4dbbb451e723f2b74a","url":"https://jobsearcher.com/jobs/830aba4dbbb451e723f2b74a","canonicalUrl":"https://jobsearcher.com/jobs/830aba4dbbb451e723f2b74a","title":"Data Engineer","description":"Subsidiary\nSteel Dynamics\nOverview\nLocation: Position can be executed from any of the following Steel Dynamics offices. This position is an onsite position.\nButler, IN\nColumbus, MS\nTerre Haute, IN\nPittsburgh, PA\nSinton, TX\nSteel Dynamics will not provide sponsorship for employment visa status now or in the future for this role. This includes, but is not limited to, F-1 STEM OPT, H-1B, TN, E-3, O-1, or any other work authorization that requires company sponsorship or the submission of immigration-related documentation to a government agency. Individuals who are found to require sponsorship now or in the future will be removed from consideration for employment for this position.\n\nThis position requires the candidate to work onsite and is not eligible for remote work.\n\nOverview\nWe are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which develops and maintains shared data systems across our network of flat roll steel manufacturing facilities. In this role, you will design and manage the data infrastructure — pipelines, databases, and reporting solutions — that drives decision-making across the Flat Roll Group. The right candidate brings strong SQL skills, a disciplined approach to data quality, and the ability to collaborate effectively with both technical teams and business stakeholders.\nResponsibilities\nDevelop and maintain SQL queries, views, stored procedures, and triggers to support data ingestion and transformation\nModel and manage structured data to support analytics, reporting, and application needs\nBuild and maintain data pipelines and ETL/ELT processes\nEnsure data quality, consistency, and reliability across data systems\nMonitor, troubleshoot, and optimize data workflows and query performance\nCollaborate with software and data architects, engineers, and stakeholders to understand data requirements\nDocument data flow, schemas, and data definitions\nFollow data governance, security, and compliance standards\nIndependently manage assigned work items and commitments\nCommunicate technical information clearly to both technical and non-technical teams\nPursue continuous learning and professional skill development\nQualifications\nRequired\nProven experience in data engineering, analytics engineering, or similar role\nStrong SQL proficiency, including complex queries, views, stored procedures, and triggers\nExperience with relational databases and data modeling concepts\nAbility to analyze data issues, identify root causes, and implement effective solutions\nHands-on experience with cloud data platforms, data warehouses, or data lakes\nExperience building and maintaining data pipelines or ETL/ELT processes\nExperience supporting analytics, reporting, or BI use cases\nExperience with data quality monitoring\nStrong written and verbal communication skills\nDemonstrated accountability and ownership of data solutions\nBachelor’s degree in related field, relevant certifications, or equivalent proven expertise\n5-7 years of experience in SQL\n5-7 years of experience in data analytics\nExperience in Qlik and/or Power BI\nMicrosoft SQL Server experience\n\nPreferred\nBackground in steel or manufacturing environments\nSteel Dynamics, Inc., and all affiliated entities are equal opportunity employers.","company":"Steeldynamic","rawCompany":"steeldynamic","city":"Fort Wayne","state":"IN","isRemote":false,"isActive":false,"createdAt":"2026-08-03T14:50:48.751Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"331221","title":"Rolled Steel Shape Manufacturing","slug":"rolled-steel-shape-manufacturing"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"332312","title":"Fabricated Structural Metal Manufacturing","slug":"fabricated-structural-metal-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Subsidiary\nSteel Dynamics\nOverview\nLocation: Position can be executed from any of the following Steel Dynamics offices. This position is an onsite position.\nButler, IN\nColumbus, MS\nTerre Haute, IN\nPittsburgh, PA\nSinton, TX\nSteel Dynamics will not provide sponsorship for employment visa status now or in the future for this role. This includes, but is not limited to, F-1 STEM OPT, H-1B, TN, E-3, O-1, or any other work authorization that requires company sponsorship or the submission of immigration-related documentation to a government agency. Individuals who are found to require sponsorship now or in the future will be removed from consideration for employment for this position.\n\nThis position requires the candidate to work onsite and is not eligible for remote work.\n\nOverview\nWe are seeking an experienced Data Engineer to join the Flat Roll Group IT team, which develops and maintains shared data systems across our network of flat roll steel manufacturing facilities. In this role, you will design and manage the data infrastructure — pipelines, databases, and reporting solutions — that drives decision-making across the Flat Roll Group. The right candidate brings strong SQL skills, a disciplined approach to data quality, and the ability to collaborate effectively with both technical teams and business stakeholders.\nResponsibilities\nDevelop and maintain SQL queries, views, stored procedures, and triggers to support data ingestion and transformation\nModel and manage structured data to support analytics, reporting, and application needs\nBuild and maintain data pipelines and ETL/ELT processes\nEnsure data quality, consistency, and reliability across data systems\nMonitor, troubleshoot, and optimize data workflows and query performance\nCollaborate with software and data architects, engineers, and stakeholders to understand data requirements\nDocument data flow, schemas, and data definitions\nFollow data governance, security, and compliance standards\nIndependently manage assigned work items and commitments\nCommunicate technical information clearly to both technical and non-technical teams\nPursue continuous learning and professional skill development\nQualifications\nRequired\nProven experience in data engineering, analytics engineering, or similar role\nStrong SQL proficiency, including complex queries, views, stored procedures, and triggers\nExperience with relational databases and data modeling concepts\nAbility to analyze data issues, identify root causes, and implement effective solutions\nHands-on experience with cloud data platforms, data warehouses, or data lakes\nExperience building and maintaining data pipelines or ETL/ELT processes\nExperience supporting analytics, reporting, or BI use cases\nExperience with data quality monitoring\nStrong written and verbal communication skills\nDemonstrated accountability and ownership of data solutions\nBachelor’s degree in related field, relevant certifications, or equivalent proven expertise\n5-7 years of experience in SQL\n5-7 years of experience in data analytics\nExperience in Qlik and/or Power BI\nMicrosoft SQL Server experience\n\nPreferred\nBackground in steel or manufacturing environments\nSteel Dynamics, Inc., and all affiliated entities are equal opportunity employers.","datePosted":"2026-08-03T14:50:48.751Z","dateModified":"2026-08-03T14:50:48.751Z","hiringOrganization":{"@type":"Organization","name":"Steeldynamic","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fort Wayne","addressRegion":"IN","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"830aba4dbbb451e723f2b74a"},"url":"https://jobsearcher.com/jobs/830aba4dbbb451e723f2b74a"}}