Lead Data Engineer - Manufacturing Analytics & Automation

Entegris, Inc.; Hillsboro (OR); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Competitive base salary

Annual bonus eligibility

Progressive PTO policy

401(K) with match

Job summary

Entegris, Inc. in Hillsboro, OR seeks a Lead Engineer for Manufacturing Engineering and Data Systems to drive data analytics, reporting, automation, and digital transformation across the CMP Polishing Pads factory.

You will build dashboards and data models in PowerBI, SQL, JMP, and cloud platforms (GCP, Snowflake) and partner with IT, quality, operations, and planning to translate data into actionable insights, improve product quality, and enable data-driven decisions.

Qualifications

• Bachelors or Masters in Engineering/CS or related field; PhD preferred
• 8+ years of data analytics or manufacturing analytics experience
• Strong PowerBI dashboard development and SQL skills
• Experience with cloud data platforms (GCP, Databricks)

Responsibilities

• Develop and maintain automated analytical tools, dashboards, and reporting solutions.
• Analyze production, quality, and business datasets for trends and root causes.
• Build KPI scorecards to monitor operational performance.
• Collaborate with IT and data teams to create scalable data solutions.
• Promote data governance and data quality standards.

Skills

PowerBI

SQL

Python

Data analytics

Data visualization

Education

Bachelor’s or Master’s in Engineering/CS or related field

Tools

JMP

Ignition

MES

LIMS

GCP

Snowflake

Databricks

Job description

Entegris, Inc. in Hillsboro, OR seeks a Lead Engineer for Manufacturing Engineering and Data Systems to drive data analytics, reporting, automation, and digital transformation across the CMP Polishing Pads factory.

You will build dashboards and data models in PowerBI, SQL, JMP, and cloud platforms (GCP, Snowflake) and partner with IT, quality, operations, and planning to translate data into actionable insights, improve product quality, and enable data-driven decisions.