Data Engineer

Position Summary

The Manufacturing Data Engineer will play a key role in designing and establishing the data, reporting, and operational analytics foundation for AMPS in Tolleson, AZ. This role is focused on manufacturing operations, plant performance, and KPI/reporting development, and is responsible for identifying improvement opportunities and developing technical solutions that enable data-driven decision-making, process improvement, and operational excellence across manufacturing, warehouse, and business operations.

Key Responsibilities

• Identify opportunities to improve data visibility, reporting effectiveness, process performance, and business decision-making across AMPS operations, and translate business needs into practical technical solutions.
• Design, develop, and implement data structures, dashboards, scorecards, KPI frameworks, and analytical solutions that support startup operations, process improvement, and long-term business needs.
• Possess strong analytical, problem-solving, and technical troubleshooting skills, with the ability to communicate effectively across technical and non-technical teams.
• Support operational excellence initiatives by enabling root cause analysis, performance tracking, standardized metrics, and data-driven process improvements.
• Help establish standards for data governance, data quality, reporting consistency, and reporting design to support scalable and reliable solutions.
• Provide direction and recommendations on reporting strategy, technical design, and best practices to support cross-functional alignment and long-term sustainability.
• Identify and resolve data-related issues across reports, data sources, and operational systems, and document key definitions, reporting logic, and KPI calculations to support consistency and knowledge transfer.
• Participate in startup and transformation initiatives that establish AMPS digital, reporting, analytics, and process improvement capabilities.

Required Qualifications

• Bachelor’s degree in Data Engineering, Computer Science, Information Systems, Industrial Engineering, Business Analytics, or related field; or equivalent combination of education and relevant experience.
• 3–7 years of experience in data engineering, business intelligence, analytics, reporting development, operational excellence, process improvement, or related technical roles.
• Experience designing and implementing data structures, data models, reporting solutions, analytics frameworks, or performance measurement tools in a business environment.
• Proficiency with SQL and experience with data querying, transformation, validation, and reporting or visualization tools such as Power BI, Tableau, SAP reporting tools, or similar platforms.
• Experience working with ERP, manufacturing, warehouse, or operational systems.
• Strong analytical, problem-solving, and technical troubleshooting skills, with the ability to communicate effectively across technical and non-technical teams.
• Ability to manage multiple priorities and work effectively in a dynamic, startup environment.

Preferred Qualifications

• Experience supporting a new site startup, major implementation, or large-scale business transformation.
• Experience in a manufacturing, warehouse, supply chain, or plant environment, including work with SAP data, ERP reporting, or operational data environments.
• Experience with process improvement, KPI standardization, data governance, master data, reporting optimization, automation tools, or scripting languages such as Python.
• Exposure to Lean, Six Sigma, or other operational excellence methodologies.