{"schemaVersion":"jobsearcher.job.v1","id":"9f1d82ce28f71d88d0c5b5e1","url":"https://jobsearcher.com/jobs/9f1d82ce28f71d88d0c5b5e1","canonicalUrl":"https://jobsearcher.com/jobs/9f1d82ce28f71d88d0c5b5e1","title":"Database Developer","description":"Database DeveloperThe Database Developer is required to support the planning, design, development, implementation, and continuous improvement of manufacturing data systems. This position enables standardized reporting, advanced analytics, digital tools, and user interfaces needed to improve plant performance, identify bottlenecks, and support operational decision-making across the organization.\r\nSummary of Duties and ResponsibilitiesPlan, design, develop, and implement company databases for reporting, analytics, and operational decision support.\r\nModify existing databases and develop new database solutions from concept through deployment.\r\nDefine data structures, database requirements, documentation, operational guidelines, and protection standards.\r\nWrite and maintain database code, including queries, stored procedures, data access logic, and database modifications.\r\nInstall, configure, manage, and support database environments used by manufacturing and support functions.\r\nMaintain database dictionaries, data relationships, and system integrations through effective database design.\r\nSupport database standards, naming conventions, governance practices, and development guidelines.\r\nMonitor service requests and problem tickets, working directly with customers to resolve database and application issues.\r\nPerform data analytics and create dashboards using tools such as Qlik Sense to visualize manufacturing performance.\r\nAnalyze manufacturing metrics to identify top bottleneck areas, downtime drivers, throughput constraints, and performance gaps.\r\nWork with ICT to migrate server data, normalize datasets, and build algorithms to ingest information from multiple sources.\r\nDevelop user interfaces and applications to collect, display, and manage information across the organization.\r\nSupport cross-functional teams including Maintenance, Quality, Operations, Engineering, ICT, and plant leadership.\r\nDetailed Programming Language and Technology RequirementsArea Requirement / Business NeedSQL Advanced knowledge required to design and optimize complex queries, stored procedures, triggers, data structures, reporting tables, and high-volume manufacturing databases. SQL is critical for data integrity, performance, historical analysis, and standard reporting.\r\nPython Required for data automation, ETL scripting, data validation, analytics, API integration, and future machine learning or predictive analytics use cases. Python supports scalable data processing and reduces manual reporting effort.\r\nC# / .NET / ASP.NET Required to develop enterprise applications, web-based tools, backend services, and user interfaces that connect databases with plant systems, dashboards, and data collection processes.\r\nVBA Required to support legacy Excel-based tools, automate repetitive reporting tasks, and bridge current plant-level processes with future database-driven solutions.\r\nQlik Sense Required to build dashboards, data models, visualizations, and leadership reporting tools for KPIs such as OPE, downtime, bottlenecks, and production performance.\r\nHTML / CSS / JavaScript Required to create browser-based interfaces for data entry, validation, reporting, and user interaction across plant and corporate teams.\r\nC++ / Java / VB.NET Required or strongly preferred to support legacy applications, vendor systems, object-oriented programming needs, and integration with existing manufacturing platforms.\r\nKnowledge and Skills RequiredStrong knowledge of database design, data architecture, data structures, and database administration practices.\r\nExperience developing and reporting large, complex databases with high data accuracy and performance requirements.\r\nAdvanced data analysis, validation, normalization, and processing skills.\r\nAbility to translate manufacturing needs into technical solutions, dashboards, applications, and automated reporting tools.\r\nUnderstanding of manufacturing KPIs, plant performance metrics, downtime analysis, bottleneck identification, and throughput improvement.\r\nAbility to integrate data from multiple systems and create a reliable single source of truth.\r\nKnowledge of data analytics, machine learning, and data science concepts to support future digital transformation initiatives.\r\nStrong communication and coordination skills with ability to interface with hourly employees, engineers, plant leadership, ICT, and senior leadership.\r\nAbility to manage multiple priorities, work under strict timelines, and support urgent plant operational needs.\r\nAbility to work flexible hours and overtime as required to support plant operations and system deployments.\r\nBusiness Case for Full-Time HireThis role directly supports manufacturing stability by enabling faster identification of bottlenecks, downtime drivers, and throughput losses.\r\nA full-time position provides ownership and continuity for critical databases, dashboards, applications, and reporting systems used across multiple functions.\r\nThe role reduces dependency on manual reporting, fragmented spreadsheets, and temporary support by creating standardized and scalable data solutions.\r\nFull-time support is needed to maintain and expand digital tools across plants, including data ingestion, dashboard development, system integration, and application support.\r\nThe role bridges the gap between ICT and plant execution by understanding both technical system requirements and manufacturing operational needs.\r\nInternal ownership improves response time for plant issues, work order requests, dashboard gaps, data quality problems, and reporting changes.\r\nThe role supports future digital transformation initiatives such as predictive maintenance, AI/ML analytics, vision system integration, CMMS connectivity, and automated performance reporting. (New 2026)\r\nHiring full-time builds internal capability and protects long-term knowledge of systems, logic, data relationships, and business rules that would otherwise be dependent on contractors or temporary resources.\r\nThe position has cross-functional impact across Maintenance, Quality, Operations, Engineering, and leadership teams, making it a strategic resource rather than a task-based developer role.\r\nMinimum RequirementsBachelor's degree in Computer Science or related field.\r\nThree to five years of related experience.\r\nExperience with MS Office and Google Workspace tools.\r\nExperience with SQL, Python, ASP.NET, VBA, Qlik Sense, HTML, and CSS.\r\nExperience developing, maintaining, and reporting from large and complex databases.\r\nManufacturing experience preferred.\r\nMaster's degree in Computer Science or related field preferred.\r\nKnowledge of analytics, machine learning, and data science preferred.\r\nBottom LineThis position is not only a database developer role. It is a critical full-time role needed to support manufacturing performance, data accuracy, standard reporting, system integration, and digital transformation. The required programming knowledge across SQL, Python, .NET, VBA, Qlik Sense, and web technologies makes this position essential for building sustainable systems that support operational improvements across the plant network, this is not a position that can be easily replaced and trained.","company":"Prestige Engineering","rawCompany":"prestige engineering","city":"Auburn Hills","state":"MI","isRemote":false,"isActive":false,"createdAt":"2026-08-07T01:30:31.158Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1242.00","title":"Database Administrators","slug":"database-administrators"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Database Developer","description":"Database DeveloperThe Database Developer is required to support the planning, design, development, implementation, and continuous improvement of manufacturing data systems. This position enables standardized reporting, advanced analytics, digital tools, and user interfaces needed to improve plant performance, identify bottlenecks, and support operational decision-making across the organization.\r\nSummary of Duties and ResponsibilitiesPlan, design, develop, and implement company databases for reporting, analytics, and operational decision support.\r\nModify existing databases and develop new database solutions from concept through deployment.\r\nDefine data structures, database requirements, documentation, operational guidelines, and protection standards.\r\nWrite and maintain database code, including queries, stored procedures, data access logic, and database modifications.\r\nInstall, configure, manage, and support database environments used by manufacturing and support functions.\r\nMaintain database dictionaries, data relationships, and system integrations through effective database design.\r\nSupport database standards, naming conventions, governance practices, and development guidelines.\r\nMonitor service requests and problem tickets, working directly with customers to resolve database and application issues.\r\nPerform data analytics and create dashboards using tools such as Qlik Sense to visualize manufacturing performance.\r\nAnalyze manufacturing metrics to identify top bottleneck areas, downtime drivers, throughput constraints, and performance gaps.\r\nWork with ICT to migrate server data, normalize datasets, and build algorithms to ingest information from multiple sources.\r\nDevelop user interfaces and applications to collect, display, and manage information across the organization.\r\nSupport cross-functional teams including Maintenance, Quality, Operations, Engineering, ICT, and plant leadership.\r\nDetailed Programming Language and Technology RequirementsArea Requirement / Business NeedSQL Advanced knowledge required to design and optimize complex queries, stored procedures, triggers, data structures, reporting tables, and high-volume manufacturing databases. SQL is critical for data integrity, performance, historical analysis, and standard reporting.\r\nPython Required for data automation, ETL scripting, data validation, analytics, API integration, and future machine learning or predictive analytics use cases. Python supports scalable data processing and reduces manual reporting effort.\r\nC# / .NET / ASP.NET Required to develop enterprise applications, web-based tools, backend services, and user interfaces that connect databases with plant systems, dashboards, and data collection processes.\r\nVBA Required to support legacy Excel-based tools, automate repetitive reporting tasks, and bridge current plant-level processes with future database-driven solutions.\r\nQlik Sense Required to build dashboards, data models, visualizations, and leadership reporting tools for KPIs such as OPE, downtime, bottlenecks, and production performance.\r\nHTML / CSS / JavaScript Required to create browser-based interfaces for data entry, validation, reporting, and user interaction across plant and corporate teams.\r\nC++ / Java / VB.NET Required or strongly preferred to support legacy applications, vendor systems, object-oriented programming needs, and integration with existing manufacturing platforms.\r\nKnowledge and Skills RequiredStrong knowledge of database design, data architecture, data structures, and database administration practices.\r\nExperience developing and reporting large, complex databases with high data accuracy and performance requirements.\r\nAdvanced data analysis, validation, normalization, and processing skills.\r\nAbility to translate manufacturing needs into technical solutions, dashboards, applications, and automated reporting tools.\r\nUnderstanding of manufacturing KPIs, plant performance metrics, downtime analysis, bottleneck identification, and throughput improvement.\r\nAbility to integrate data from multiple systems and create a reliable single source of truth.\r\nKnowledge of data analytics, machine learning, and data science concepts to support future digital transformation initiatives.\r\nStrong communication and coordination skills with ability to interface with hourly employees, engineers, plant leadership, ICT, and senior leadership.\r\nAbility to manage multiple priorities, work under strict timelines, and support urgent plant operational needs.\r\nAbility to work flexible hours and overtime as required to support plant operations and system deployments.\r\nBusiness Case for Full-Time HireThis role directly supports manufacturing stability by enabling faster identification of bottlenecks, downtime drivers, and throughput losses.\r\nA full-time position provides ownership and continuity for critical databases, dashboards, applications, and reporting systems used across multiple functions.\r\nThe role reduces dependency on manual reporting, fragmented spreadsheets, and temporary support by creating standardized and scalable data solutions.\r\nFull-time support is needed to maintain and expand digital tools across plants, including data ingestion, dashboard development, system integration, and application support.\r\nThe role bridges the gap between ICT and plant execution by understanding both technical system requirements and manufacturing operational needs.\r\nInternal ownership improves response time for plant issues, work order requests, dashboard gaps, data quality problems, and reporting changes.\r\nThe role supports future digital transformation initiatives such as predictive maintenance, AI/ML analytics, vision system integration, CMMS connectivity, and automated performance reporting. (New 2026)\r\nHiring full-time builds internal capability and protects long-term knowledge of systems, logic, data relationships, and business rules that would otherwise be dependent on contractors or temporary resources.\r\nThe position has cross-functional impact across Maintenance, Quality, Operations, Engineering, and leadership teams, making it a strategic resource rather than a task-based developer role.\r\nMinimum RequirementsBachelor's degree in Computer Science or related field.\r\nThree to five years of related experience.\r\nExperience with MS Office and Google Workspace tools.\r\nExperience with SQL, Python, ASP.NET, VBA, Qlik Sense, HTML, and CSS.\r\nExperience developing, maintaining, and reporting from large and complex databases.\r\nManufacturing experience preferred.\r\nMaster's degree in Computer Science or related field preferred.\r\nKnowledge of analytics, machine learning, and data science preferred.\r\nBottom LineThis position is not only a database developer role. It is a critical full-time role needed to support manufacturing performance, data accuracy, standard reporting, system integration, and digital transformation. The required programming knowledge across SQL, Python, .NET, VBA, Qlik Sense, and web technologies makes this position essential for building sustainable systems that support operational improvements across the plant network, this is not a position that can be easily replaced and trained.","datePosted":"2026-08-07T01:30:31.158Z","dateModified":"2026-08-07T01:30:31.158Z","hiringOrganization":{"@type":"Organization","name":"Prestige Engineering","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Auburn Hills","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9f1d82ce28f71d88d0c5b5e1"},"url":"https://jobsearcher.com/jobs/9f1d82ce28f71d88d0c5b5e1"}}