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Lead Engineer, Manufacturing Engineering & Data Systems
Entegris · Hillsboro, OR · Posted 1 day ago
Turn Hillsboro CMP polishing pad factory data into actionable insights, owning dashboards, cloud data models, and cross-functional improvements that drive profitability and quality.
Lead Engineer, Manufacturing Engineering & Data Systems
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.
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