TPG IE Operations Engineer

Micron Technology; Boise (ID); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Medical/Dental/Vision

Paid time off

Retirement plan

Job summary

Micron Technology in Boise, ID seeks an Industrial Engineer/Data Analytics professional to design data pipelines, model production metrics, and improve manufacturing decisions. You will gather, validate, and visualize key performance indicators across high-volume semiconductor operations.

Responsibilities include building data workflows, cleansing data, and applying AI-driven insights to optimize floor operations; collaboration with process, equipment, and operations teams; strong SQL/Python

Qualifications

• Bachelor’s degree in Industrial/Manufacturing Engineering or equivalent.
• Strong data intuition and problem-solving skills.
• Experience with SQL and Python for data manipulation.

Responsibilities

• Design, implement, and maintain data collection pipelines across manufacturing systems.
• Develop automated data cleansing and validation frameworks to ensure high fidelity in operational metrics.
• Build dashboards to communicate equipment, cycle time, and production trends.
• Apply industrial engineering methods to analyze bottlenecks and optimize floor operations.
• Use SQL, Python to perform root-cause analyses and model complex problems.
• Collaborate cross-functionally with process, equipment, and operations teams.

Skills

SQL

Python

Data visualization

Data cleansing

Problem solving

AI tools

Data intuition

Education

Bachelor’s degree in Industrial Engineering or equivalent

Practical engineering experience

Tools

MES

Data Warehousing

Excel

Job description

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Department Intro... We are part of Micron’s Technology Development Operations team, focused on driving operational excellence and data integrity across advanced semiconductor fabrication environments. Our team bridges engineering processes with modern data architectures to improve production efficiency, cycle times, and operational performance. A few sentences about the department here.

Position Overview... In this role, you will 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

• 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 to communicate 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.
• Partner cross-functionally with process, equipment, and operations teams to translate production requirements into scalable data solutions. 3-5 bullet points

Minimum Qualifications

• Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Production Operations Management (POM), equivalent degree, or practical engineering experience.
• Intermediate problem-solving capabilities with proven data intuition and data visualization skills.
• Experience or practical knowledge of data collection methods, data warehousing architectures, and data cleansing techniques.
• Demonstrated hands‑on proficiency with SQL and scripting languages such as Python for data manipulation.
• Experience using AI tools for productivity.

Preferred Qualifications

• Master’s degree in Industrial Engineering, Manufacturing Engineering, or a related engineering field.
• 1–3 years of hands‑on work experience in a manufacturing or semiconductor environment.
• Experience developing end-to-end data analytics solutions connected to automated manufacturing execution systems (MES).

Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.