Data Engineer

Corning • Phoenix, AZ

8d • $86,722 - $119,244 • Onsite

About The Position

The 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 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. Working closely with AMPS leadership, functional teams, IT, and business stakeholders, the Data Engineer will help define data requirements, reporting strategy, KPI standards, and analytical solutions that support startup readiness and long-term performance.

Requirements

• 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.

Nice To Haves

• 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.
• Strong knowledge of data design, reporting strategy, performance measurement, and data management best practices.
• Ability to identify business needs, improve processes, develop technical solutions, and implement practical tools from concept through execution.
• Proficiency in Microsoft Office, especially Excel and PowerPoint.
• Ability to work independently and collaboratively while providing direction within cross-functional teams.

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.
• Partner with operations, supply chain, quality, finance, IT, and AMPS leadership to define data requirements, reporting priorities, performance measures, and sustainable business rules across functions.
• 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.

Benefits

• Company-wide bonuses
• Long-term incentives
• Company matching contributions to your 401(k) savings plan of up to 4% of pay when you contribute at least 6% of pay
• Medical, dental, vision
• Paid parental leave
• Family building support
• Fitness
• Company-paid life insurance
• Disability
• Disease management programs
• Paid time off
• Employee Assistance Program (EAP)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree