Data Engineer Jobs

About The Position

Requirements

• Bachelor’s degree in Engineering, Statistics, Supply Chain, Business Analytics, Information Systems, or a related field; or an equivalent combination of education and experience.
• Minimum 2 years of full-time work experience in data management, business systems, supply chain, operations, engineering support, analytics, or a related field.
• Experience managing, analyzing, or maintaining data within business systems and databases.
• Proficiency with Microsoft Excel, including formulas, data analysis, reporting, and data validation.

Nice To Haves

• Minimum 2 years of experience in master data management, enterprise systems, or related data-focused roles.
• Experience in the medical device, pharmaceutical, biotechnology, or other regulated industry.
• Experience supporting system setup activities for product launches or product lifecycle management projects.
• Hands-on experience with ERP systems such as SAP and/or Oracle.
• Experience with Microsoft Power Platform, including Power BI, Power Apps, and Power Automate.

Responsibilities

• Manage creation, maintenance, and updates of product master and transactional data across product lifecycle management systems, enterprise resource planning systems, and global item management platforms.
• Partner with Project Managers to execute end-to-end system setup activities for new product launches, ensuring data accuracy, completeness, and readiness across commercial systems.
• Support product lifecycle activities, including product introductions, product changes, and product discontinuations through accurate and timely master data management.
• Monitor data consistency and integrity across multiple systems and resolve discrepancies that could impact business processes or reporting.
• Maintain compliance with quality management procedures and regulatory requirements related to product master data.
• Analyze data trends and identify opportunities to improve data management processes, system performance, and operational efficiency.
• Develop and maintain documentation, procedures, and training materials related to product master data processes.
• Collaborate with cross-functional stakeholders to evaluate change requests, provide data-driven recommendations, and support business decision-making.