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Skills
- Algorithmsunmatched
- Analysis Skillsunmatched
- Application Programming Interface (API)unmatched
- Automotive Industryunmatched
- C++ Programming Languageunmatched
- CSS (Cascading Style Sheet)unmatched
- Communication Skillsunmatched
- Computer Scienceunmatched
- Continuous Improvementunmatched
- Cross-Functionalunmatched
- Data Analysisunmatched
- Data Collectionunmatched
- Data Entryunmatched
- Data Migrationunmatched
- Data Modelingunmatched
- Data Processingunmatched
- Data Qualityunmatched
- Data Scienceunmatched
- Data Setsunmatched
- Data Structuresunmatched
- Data Visualizationunmatched
- Database Administrationunmatched
- Database Designunmatched
- Database Extract Transform and Load (ETL)unmatched
- Database Programmingunmatched
- Database Technologyunmatched
- Database Triggersunmatched
- Decision Supportunmatched
- Documentationunmatched
- Enterprise Applicationsunmatched
- Green Constructionunmatched
- HTML (HyperText Markup Language)unmatched
- Health Planunmatched
- Internet Technologyunmatched
- Javaunmatched
- JavaScriptunmatched
- Leadershipunmatched
- Machine Learningunmatched
- Maintenance Servicesunmatched
- Manufacturingunmatched
- Manufacturing Analysisunmatched
- Manufacturing Systemsunmatched
- Metricsunmatched
- Microsoft .NETunmatched
- Microsoft ASP.NET (Active Server Page)unmatched
- Microsoft Access Databaseunmatched
- Microsoft C# (C Sharp)unmatched
- Microsoft Officeunmatched
- Microsoft Visual Basic for Applications (VBA)unmatched
- Microsoft Visual Basic.NETunmatched
- Multitaskingunmatched
- Object Oriented Programming (OOP)unmatched
- Operational Auditunmatched
- Operational Improvementunmatched
- Operational Supportunmatched
- Operations Guidelinesunmatched
- Organizational Skillsunmatched
- Performance Analysisunmatched
- Performance Managementunmatched
- Performance Metricsunmatched
- Predictive Modelingunmatched
- Problem Solving Skillsunmatched
- Python Programming/Scripting Languageunmatched
- Qlikunmatched
- Query Optimizationunmatched
- Reporting Dashboardsunmatched
- Reporting Skillsunmatched
- SQL (Structured Query Language)unmatched
- Scripting (Scripting Languages)unmatched
- Software Administrationunmatched
- Stored Proceduresunmatched
- System Integration (SI)unmatched
- System Migrationunmatched
- Systems Maintenanceunmatched
- Use Casesunmatched
- User Interface Toolsunmatched
- User Interface/Experience (UI/UX)unmatched
- Web Browsersunmatched
- Web Programmingunmatched
Description
Our client, a Automotive company, is looking for a Senior Database Developer for their Auburn Hills, MI location.
Responsibilities:
Requirements:
Why Should You Apply?
Responsibilities:
- The 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.
- Plan, design, develop, and implement company databases for reporting, analytics, and operational decision support.
- Modify existing databases and develop new database solutions from concept through deployment.
- Define data structures, database requirements, documentation, operational guidelines, and protection standards.
- Write and maintain database code, including queries, stored procedures, data access logic, and database modifications.
- Install, configure, manage, and support database environments used by manufacturing and support functions.
- Maintain database dictionaries, data relationships, and system integrations through effective database design.
- Support database standards, naming conventions, governance practices, and development guidelines.
- Monitor service requests and problem tickets, working directly with customers to resolve database and application issues.
- Perform data analytics and create dashboards using tools such as Qlik Sense to visualize manufacturing performance.
- Analyze manufacturing metrics to identify top bottleneck areas, downtime drivers, throughput constraints, and performance gaps.
- Work with ICT to migrate server data, normalize datasets, and build algorithms to ingest information from multiple sources.
- Develop user interfaces and applications to collect, display, and manage information across the organization.
- Support cross-functional teams including Maintenance, Quality, Operations, Engineering, ICT, and plant leadership.
Requirements:
- SQL 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.
- Python 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.
- C# / .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.
- VBA Required to support legacy Excel-based tools, automate repetitive reporting tasks, and bridge current plant-level processes with future database-driven solutions.
- Qlik Sense Required to build dashboards, data models, visualizations, and leadership reporting tools for KPIs such as OPE, downtime, bottlenecks, and production performance.
- HTML / CSS / JavaScript Required to create browser-based interfaces for data entry, validation, reporting, and user interaction across plant and corporate teams.
- C++ / Java / VB.NET Required or strongly preferred to support legacy applications, vendor systems, object-oriented programming needs, and integration with existing manufacturing platforms.
- Strong knowledge of database design, data architecture, data structures, and database administration practices.
- Experience developing and reporting large, complex databases with high data accuracy and performance requirements.
- Advanced data analysis, validation, normalization, and processing skills.
- Ability to translate manufacturing needs into technical solutions, dashboards, applications, and automated reporting tools.
- Understanding of manufacturing KPIs, plant performance metrics, downtime analysis, bottleneck identification, and throughput improvement.
- Ability to integrate data from multiple systems and create a reliable single source of truth.
- Knowledge of data analytics, machine learning, and data science concepts to support future digital transformation initiatives.
- Strong communication and coordination skills with ability to interface with hourly employees, engineers, plant leadership, ICT, and senior leadership.
- Ability to manage multiple priorities, work under strict timelines, and support urgent plant operational needs.
- Ability to work flexible hours and overtime as required to support plant operations and system deployments.
- Bachelor’s degree in Computer Science or related field.
- Three to five years of related experience.
- Experience with MS Office and Google Workspace tools.
- Experience with SQL, Python, ASP.NET, VBA, Qlik Sense, HTML, and CSS.
- Experience developing, maintaining, and reporting from large and complex databases.
- Manufacturing experience preferred.
- Master’s degree in Computer Science or related field preferred.
- Knowledge of analytics, machine learning, and data science preferred.
- This 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.
Why Should You Apply?
- Health Benefits
- Referral Program
- Excellent growth and advancement opportunities
Numbers & Facts
| Location | Auburn Hills, MI |
| Industry | Management Consulting Services |
| Salary | $59.83–$64.83 Per Hour |
| Company Size | 2,000 to 2,499 employees |
| Year Founded | 2000 |
| Website | https://www.iconma.com/ |
Benefits
401K, Employee Referral Program, Life Insurance
About Company
ICONMA is a global information consulting management firm providing Professional Staffing Services and Project-Based Solutions for organizations in a broad range of industries.
- Corporate Headquarters in Troy, Michigan; 20+ locations worldwide.
- Certified Woman-Owned Business Enterprise (WBE); certified by Women’s Business Enterprise National Council, National Women Business Owners Corporation (NWBOC); and California Public Utilities Commission (CPUC).
- Founded in 2000
- 2000+ Employees
The company was founded on the principle that success is derived from delivering high quality service and resources in the most responsive, flexible, and innovative way. ICONMA invests in people and resources with a single goal: To provide our customers with the highest quality service in the most responsive manner. Through its network of offices, ICONMA provides the resources to help clients maintain their competitive advantage.