Lead Engineer, Manufacturing Engineering & Data Systems

Job Title: Lead Engineer, Manufacturing Engineering & Data Systems Job Description: Lead Engineer, Manufacturing Engineering and Data Systems Our site in Hillsboro, OR is seeking a Lead Engineer, Manufacturing Engineering and Data Systems to join our team. The Manufacturing Engineer will support the Hillsboro CMP Polishing Pads factory through data analytics, reporting, automation, and digital transformation initiatives. This role will work closely with Manufacturing, Production Operations, Quality, Supply Chain, Planning, and IT Teams to transform data into actionable insights that improve operational performance, product quality, and business decision-making. This position reports to the Director of Operations. What You’ll Do: Develop and maintain automated analytical tools, dashboards, and reporting solutions using PowerBI, JMP, SQL, Ignition, MES, LIMs and other analytical technologies. Provide ad-hoc and one-time analytical support for manufacturing, engineering, production operations, and other teams within the Hillsboro Polishing Pads factory. Analyze complex production, quality, and business datasets to help identify trends, opportunities, risks, and root causes. Build interactive dashboards and KPI scorecards that provide visibility into operational performance and support data-driven decision making. Design, develop, and maintain data models, views, and datasets within Google Cloud Platform (GCP), Snowflake, and related cloud-based data environments. Collaborate with IT and data engineering teams to develop scalable solutions and improve data accessibility. Investigate, troubleshoot, and resolve data quality issues by identifying root causes and coordinating corrective actions with IT and business teams. Support implementation and user adoption of analytical tools through training, documentation, and knowledge sharing. Communicate analytical findings and recommendations to technical and non-technical audiences through presentations, reports, and dashboards. Promote data governance, data quality standards, and best practices across the site. Stay current with emerging analytics, AI, automation, and visualization techniques and evaluate opportunities for business applications. Participate as a member of a global engineering team to transfer best practices across sites and unit operations. Improve upon quality and utilization on automation equipment and processes. Develop plans and lead expansion of future equipment incorporating current learnings to allow for enhancement and advancement in subsequent equipment revisions. Effectively work with cross-functional teams to drive continuous improvements that improve profitability, efficiency, and productivity in the manufacturing process. What We Seek: Bachelor’s or Master’s degree in Mechanical Engineering, Chemical Engineering, Materials Science & Engineering, Statistics, Data Analytics, Computer Science or related field. (BSE + 8 years, MSE + 5 years, or PhD preferred; equivalent experience considered.) 8+ years of experience in data analytics, business intelligence, manufacturing analytics, or operational analytics. Strong experience developing dashboards and reports using PowerBI Experience developing automated solutions using JMP, Python, or other software. Advanced SQL skills and ability to work with large, complex datasets. Hands on experience with cloud data platforms (GCP, databricks, etc) Effective skills designing and communicating data models, views, and reporting data sets. Strong understanding of data quality concepts, root cause analysis, and data validation techniques. Proven ability to troubleshoot data pipeline data and data integration issues while partnering with IT teams. Experience supporting manufacturing or semiconductor facilities. Strong communication skills with the ability to bridge technical and functional teams. Self-motivated, customer focused, and able to work independently while leading cross-functional initiatives. Capital…

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