STEM OPT Database Developer Jobs
Database Developer roles qualify for STEM OPT because they map to CIP codes in computer science and information technology. Your STEM degree gives you up to 24 months of additional work authorization beyond your initial OPT period, but only with employers enrolled in E-Verify. That requirement filters the job market before you apply.
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Get Access To All JobsJob Title: Senior Database Developer
Location: Auburn Hills, MI
The position bridges the gap between ICT and plant execution by understanding both technical system requirements and manufacturing operational needs.
Summary of Duties, Responsibilities, and Knowledge Required
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.
Summary of Duties and Responsibilities
- 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.
Detailed Programming Language and Technology 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.
Knowledge and Skills Required
- 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 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.
Key Must Have’s:
- Bachelor’s degree in Computer Science or Master’s degree in Computer Science or related field preferred.
- 3-5 years of professional experience in Manufacturing Database Development.
- 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.
- Knowledge of analytics, machine learning, and data science preferred.
Job Title: Senior Database Developer
Location: Auburn Hills, MI
The position bridges the gap between ICT and plant execution by understanding both technical system requirements and manufacturing operational needs.
Summary of Duties, Responsibilities, and Knowledge Required
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.
Summary of Duties and Responsibilities
- 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.
Detailed Programming Language and Technology 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.
Knowledge and Skills Required
- 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 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.
Key Must Have’s:
- Bachelor’s degree in Computer Science or Master’s degree in Computer Science or related field preferred.
- 3-5 years of professional experience in Manufacturing Database Development.
- 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.
- Knowledge of analytics, machine learning, and data science preferred.
See all 47+ STEM OPT Database Developer Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Database Developer
Confirm your CIP code matches database roles
Pull up your degree's CIP code through your DSO before applying. Computer science, information systems, and data science codes all support Database Developer roles, but some general business or management information systems degrees sit in gray areas that require DSO confirmation.
Verify E-Verify enrollment before every application
Check E-Verify's employer search tool directly before submitting any application. A company can lose E-Verify enrollment between job postings and offer letters, so confirm status at application, not just at hire. Unenrolled employers cannot legally employ you on STEM OPT.
Target employers with active DOL LCA filings for database roles
Use Migrate Mate to filter for employers with Labor Condition Application history in database and software development occupations. Employers already familiar with LCA filing understand STEM OPT timelines and are less likely to rescind offers over authorization questions.
Build a training plan around your actual database stack
Your I-983 must list specific learning objectives tied to your job duties, not generic descriptions. Document the database systems, query languages, and data modeling tools you'll use. USCIS scrutinizes vague training plans, and a role-specific plan is harder to challenge.
Time your STEM OPT application against your offer timeline
USCIS recommends filing your STEM OPT extension at least 90 days before your initial OPT expires. Database Developer hiring cycles often run four to eight weeks, so start identifying employers six months out to leave room for offer negotiation and filing preparation.
Use SOC codes to benchmark prevailing wage expectations
Database Developers fall under SOC code 15-1252. Run that code through the OFLC Wage Search to see what employers must certify on an LCA for your metro area. If an offer falls below the Level I prevailing wage, the employer faces a compliance problem at the LCA stage.
Frequently Asked Questions
Does a Database Developer role qualify for the STEM OPT extension?
Database Developer positions qualify when your degree is in a STEM field with a matching CIP code, such as computer science, information systems, or data science. The role itself must require application of your STEM knowledge, not just use software incidentally. Your DSO confirms eligibility based on your specific degree program and the job description your employer provides.
What does the I-983 training plan need to include for a Database Developer?
Your I-983 must list measurable learning objectives tied directly to database development work, including the specific technologies, languages, and systems you'll work with. Objectives like 'design normalized relational schemas using PostgreSQL' are enforceable and verifiable. USCIS looks for a clear connection between your STEM degree, your listed objectives, and the actual duties in your offer letter. Generic descriptions increase the risk of a request for evidence.
How do I confirm my employer is enrolled in E-Verify before accepting an offer?
Use E-Verify's free public employer search tool to look up any company by name or employer identification number before you sign an offer. Enrollment status can change, so search at the time of the offer, not when the job was posted. An employer that isn't enrolled cannot legally hire you on STEM OPT, and you'd need to find a new employer or convert to a different status before starting work.
What happens to my STEM OPT if my employer loses E-Verify enrollment after I start?
If your employer's E-Verify enrollment lapses after you begin working, you must stop working for that employer. USCIS requires continuous E-Verify enrollment throughout your entire STEM OPT period. Your employer is responsible for re-enrolling, but the legal obligation to maintain authorized employment is yours. Report the change to your DSO immediately and document your response in case USCIS reviews your record.
Where can I find Database Developer jobs where employers already understand STEM OPT?
Migrate Mate filters Database Developer listings for employers with active E-Verify enrollment and LCA filing history in technology occupations, which removes the back-and-forth of explaining your authorization to employers unfamiliar with STEM OPT. Searching on Migrate Mate narrows your pool to employers who have already navigated the compliance side of hiring international students in technical roles.