Product Engineer (Fastener / Data Cleanup Project)
Earnest Machine · Rocky River, OH · 6 mo ago
On-siteSalesFull-time
Primary Responsibilities
- Continue cleanup and standardization of product data across all remaining categories while ensuring consistency across similar SKUs and product families.
- Validate and normalize key attributes, such as: Product Name, Dimensions & Size Callouts, Strength / Grade, Type, Material, Finish / Coating, Thread pitch, etc.
- Rebuild & Taxonomy Alignment: Rewrite and standardize product descriptions using defined naming conventions. Ensure descriptions are to engineering specifications, structured, searchable, EDI-compatible. Align descriptions and attributes across systems (ERP, PIM, customer requirements).
- Data Governance & Process Development: Help finalize a scalable data entry framework for future product setup. Document standards, rules, and best practices for internal teams. Identify gaps, inconsistencies, and risks in current data structure.
- Cross-Functional Collaboration: Partner with Marketing, Sales, and IT teams to validate product data. Translate technical product specs into usable commercial data. Support EDI readiness requirements tied to customer expectations.
- Quality Control & Audit: Perform data audits to ensure accuracy and completeness. Flag discrepancies and recommend corrective actions. Maintain high standards of data integrity across all categories.
Required Qualifications
- 10+ years fastener industry experience.
- Deep knowledge of: Fastener types, applications, and standards (SAE, ASTM, ISO); Threading, materials, coatings, and strength grades.
- Proven experience with: Product data management, ERP systems, or PIM systems; SKU structuring and attribute standardization.
- Strong attention to detail and data accuracy.
- Ability to work independently and take ownership mid-project.
Preferred Qualifications
- Prior experience supporting EDI implementations.
- Background in application engineering or technical product support.
- Experience building or enforcing data governance standards.
- Familiarity with industrial distribution or B2B supply chains.