Industrial Data Engineer - Manufacturing Ops Analytics

Micron Technology, Inc; Boise (ID); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical, dental, vision

Paid time off

Holidays

Job summary

Micron Technology, Inc in Boise is seeking a Manufacturing Engineer 2 to apply industrial engineering principles, data modeling, and data cleansing to optimize manufacturing workflows and systems. You will collaborate with process teams and data infrastructure owners to collect, warehouse, and visualize key production metrics that support high-volume manufacturing decisions.

Responsibilities include building data pipelines, cleansing procedures, dashboards to communicate equipment, cycle time,

Qualifications

• Bachelor's degree in Industrial Engineering or related field.
• Experience with data collection, warehousing, and cleansing techniques.
• Proficiency in SQL and Python for data manipulation.

Responsibilities

• Design, implement, and maintain data collection pipelines and warehousing workflows across manufacturing systems.
• Develop automated data cleansing procedures and data validation frameworks to ensure high fidelity in operational metrics.
• Build clear, intuitive data visualizations and reporting dashboards for equipment, cycle time, and production trends.
• Apply industrial and manufacturing engineering methodologies to analyze bottlenecks and optimize floor operations.
• Utilize SQL, Python, and related tools to perform root-cause analyses and model complex operational problems.
• Utilize AI tools to analyze data, identify improvement opportunities, automate workflows, and improve operational efficiency.

Skills

SQL

Python

Data Visualization

Data Warehousing

Data Cleansing

Industrial Engineering

AI Tools

Education

Bachelor’s degree in Industrial Engineering

Master’s degree in Industrial Engineering

Tools

MES

Tableau/PowerBI

Job description

Micron Technology, Inc in Boise is seeking a Manufacturing Engineer 2 to apply industrial engineering principles, data modeling, and data cleansing to optimize manufacturing workflows and systems. You will collaborate with process teams and data infrastructure owners to collect, warehouse, and visualize key production metrics that support high-volume manufacturing decisions.

Responsibilities include building data pipelines, cleansing procedures, dashboards to communicate equipment, cycle time,