STEM OPT Senior Database Reliability Engineer Jobs
Senior Database Reliability Engineer roles sit squarely within STEM-designated CIP codes, making them eligible for the 24-month STEM OPT extension beyond your initial 12 months. Your employer must be enrolled in E-Verify, and you'll need an I-983 training plan tied to your database engineering or computer science degree.
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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 Senior Database Reliability Engineer Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Senior Database Reliability Engineer
Verify your CIP code matches the role
Check that your degree's CIP code falls under computer science, information technology, or a related STEM category recognized by USCIS. Database engineering roles typically align with CIP 11.0701 (computer science) or 14.0901 (computer engineering), but your DSO confirms the exact match.
Confirm E-Verify enrollment before applying
Ask hiring managers directly whether the company is enrolled in E-Verify before you invest time in interviews. STEM OPT authorization depends on this, and not every employer in database infrastructure has completed enrollment, even at large tech organizations.
Build an I-983 training plan around database reliability work
Your I-983 must map specific learning objectives to your STEM degree. For this role, document how tasks like chaos engineering, failover testing, and query optimization connect to your academic coursework in systems design, distributed computing, or data architecture.
Target employers with active database infrastructure teams
Use Migrate Mate to filter for employers who have sponsored STEM OPT and H-1B visa candidates in database and systems reliability roles. This shows you which companies already understand the I-983 process and won't need educating on STEM OPT compliance obligations.
Use the OFLC Wage Search to benchmark your offer
STEM OPT requires employers to pay you the same wage as similarly situated U.S. workers. Pull the prevailing wage for your SOC code and metro area from the OFLC Wage Search before your offer conversation so you can flag any gap with your employer's HR team.
File your STEM OPT extension 90 days before OPT expires
USCIS recommends filing the I-765 extension at least 90 days before your initial OPT end date. Your authorization continues during the pending period only if you filed on time, so coordinate your start date with your employer's onboarding timeline accordingly.
Frequently Asked Questions
Does a Senior Database Reliability Engineer role qualify for the STEM OPT extension?
Yes, if your degree is in a STEM-designated field such as computer science, computer engineering, or information systems. The role itself must also connect to that degree. Your DSO will confirm the CIP code match when approving your I-983 training plan. USCIS ultimately adjudicates the extension, but a strong degree-to-role connection is the foundation of a clean application.
How do I know if a Senior Database Reliability Engineer employer is enrolled in E-Verify?
Ask the recruiter or HR contact directly and request written confirmation before signing an offer. You can also reference the E-Verify employer search tool to look up participating employers by company name. STEM OPT authorization is void if your employer isn't enrolled, so confirming this early in the interview process protects your timeline and avoids last-minute complications.
What should my I-983 training plan include for a database reliability role?
Your I-983 must describe how the job's practical training relates to your STEM degree. For a Senior Database Reliability Engineer, list specific learning goals tied to your coursework: designing high-availability systems, implementing automated failover, optimizing query performance, and managing incident response. Your employer's supervisor signs the plan, and your DSO approves it before you can begin or extend work.
Where can I find Senior Database Reliability Engineer jobs that sponsor STEM OPT students?
Migrate Mate filters job listings for employers with verified E-Verify enrollment and a track record of sponsoring F-1 students in technical roles. Searching there narrows your list to companies already set up to support your I-983 and STEM OPT compliance requirements, rather than having to manually verify each employer's eligibility status yourself.
What happens to my STEM OPT authorization if my H-1B is selected in the lottery before my extension ends?
If your H-1B petition is filed before your STEM OPT expires and your status is still valid on April 1, cap-gap protection extends your OPT authorization through September 30 of that fiscal year. You can continue working for the same E-Verify-enrolled employer during this period. USCIS issues an updated EAD reflecting the cap-gap extension once your petition receipt is confirmed.