QC Engineer-Quality

JOB FUNCTION – REQUIREMENTS – SUCCESS FACTORS:

A Fuyao Glass Illinois (FGI) Quality Data Engineer is responsible for supporting the storage, maintenance, and retrieval of quality-related data through internal database systems. This position plays a key role in managing databases that house inspection data, defect logs, quality control records, and other production-related data.

The role involves assisting in the development and administration of SQL-based systems to ensure the accuracy, accessibility, and security of manufacturing and quality management information. Under the supervision of senior staff, the Quality Data Engineer supports routine reporting across departments, helps maintain dashboards used in quality assurance, and contributes to continuous improvement by enabling data-driven decisions.

By supporting the collection, validation, and reporting of quality-related data, this role directly contributes to maintaining FGI’s quality assurance standards and regulatory compliance. This entry-level position is ideal for candidates with a background in business analytics, database systems, or data infrastructure in a manufacturing context.

REQUIRES:

· Bachelor’s degree in Applied Business Analytics, Computer Science, Information Systems, or a related field, or two to four years’ experience in related field. A Master’s degree is preferred but not required.

· Basic proficiency in SQL and relational database principles.

· Familiarity with data visualization tools such as Tableau, Power BI, or Excel-based dashboards.

· Understanding of data integrity, backup strategies, and user access control in a database context.

· Strong attention to detail, willingness to learn internal systems, and ability to follow documented procedures.

· Preferred experience working with ERP/MRP platforms (e.g., Plex) or within ISO 9001:2015 environments.

DUTIES AND RESPONSIBILITIES:

· Maintain and update databases that store quality control records, inspection data, defect logs, and daily production metrics.

· Develop and run queries to support internal reports, customer documentation (e.g., PPAP, material certificates), and compliance checks.

· Assist in managing user access permissions and ensuring secure access to sensitive data.

· Perform routine data backups and assist in periodic data recovery testing.

· Support the development of dashboards and data-driven tools used by quality and operations teams to monitor KPIs.

· Document database procedures and support internal audits by ensuring traceability of quality data.

· Work with engineering, production, and purchasing departments to ensure consistent data standards and flow.

· Support online defect inspection systems (e.g., ISRA) through data integration and reporting.

· Participate in ongoing database cleanup, normalization, and optimization initiatives.

· Help track progress on department KPIs and lead small data initiatives to support continuous improvement.

· Assist in reviewing and updating quality documentation systems, such as Control Plans and PFMEA, by ensuring underlying data accuracy.

QUALIFICATIONS / SKILLS:

· Experience writing basic SQL queries and performing data extraction

· Ability to build and manage dashboards using Tableau, Power BI, or Excel

· Understanding of quality control data such as Gage R&R, PFMEA, Control Plans

· Experience documenting data handling procedures and participating in internal audits

· Comfortable working with production, quality, and engineering departments

· Interest in supporting continuous improvement through reliable data visibility

· Familiarity with ERP systems (e.g., Plex) and ISO 9001:2015 quality standards

· Strong organizational, documentation, and cross-functional communication skills

WORK ENVIRONMENT:

Primarily an office-based role with routine access to the production floor to support data collection systems. Must be able to wear PPE as required, and work near equipment or visual inspection systems such as ISRA. Occasional lifting of up to 25 pounds for equipment setup may be needed.