Data Transformation/Digital Systems Engineering Intern

Job Summary

The Data Transformation / Digital Systems Engineering Intern will support digital and AI-enabled solutions for Engineering, Quality, and Production at the Beaverton site. The primary assignment is to work with approved, controlled documents to develop data rules, metadata, document relationships, retrieval logic, and process workflows for an AI Retrieval-Augmented Generation (RAG) knowledge system.

The intern will help test AI-generated results against approved source documents and document requirements, workflows, findings, and recommended improvements. The role will also provide exposure to GitHub, Microsoft Copilot, Ignition, QAD, PLCs, and manufacturing data systems.

In this role, you will:

• Review and organize controlled engineering, quality, and production documents.
• Develop rules, metadata, document relationships, and retrieval logic for the AI/RAG system.
• Create process workflows for document retrieval, review, approval, and use.
• Develop and test Python or similar scripts supporting data transformation and automation.
• Test AI/RAG responses against approved source documents and identify improvement opportunities.
• Support digital-system work involving GitHub, Microsoft Copilot, Ignition, QAD, PLCs, and manufacturing data.
• Collaborate with Engineering, Quality, Production, and digital/IT resources.

Required Qualifications:

Currently pursuing a bachelor's degree in Computer Science, Information Technology, Software Engineering, or other related disciplines.

• Generative AI, programming, digital systems, data transformation, and process workflow development.
• Programming through school projects, coursework, engineering teams, competitions, internships, or personal projects.
• Demonstrated Python or similar programming experience.
• GitHub, Microsoft Copilot, RAG, data structures, databases, Ignition, SCADA/MES, QAD/ERP, PLCs, automation, or process mapping.
• Prior internship experience is beneficial but not required.
• Problem solving, analytical thinking, attention to detail, documentation, communication, teamwork, and willingness to learn.

Saint-Gobain provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Saint-Gobain is an equal opportunity employer of individuals with disabilities and supports the hiring of veterans.

Applicants for roles based in Washington state or remote roles that would be worked from Washington state are encouraged to direct any concerns regarding the state’s Pay Transparency laws to the SGNA HR Compliance team at SGNA_HR_Compliance@saint-gobain.com .

Certain locations require pay information to be provided in job postings. Saint-Gobain aims to deliver a comprehensive Total Rewards package to support our employees' wellbeing and help improve daily life for themselves and their families. We believe in the importance of pay transparency in what we offer potential candidates. Provided is the local pay range for this position, which is $24.00 per hour.-