Data Engineering Intern

About the Role

Entegris is seeking a Data Engineering Intern to join our team for the Summer 2027 season. This assignment is intended to be 12-14 weeks in duration. The intern will support Entegris’ AI-ready data platform strategy by working on real-world initiatives.

Key Responsibilities

• Assist with building, testing, and optimizing data pipelines to ingest, transform, and deliver data into analytics and AI platforms.
• Analyze, profile, and validate data to identify data quality issues and improve the accuracy and reliability of enterprise datasets.
• Develop SQL and Python-based solutions to automate data processing, validation, reporting, and engineering workflows.
• Support the development and testing of AI-powered data engineering agents that automate activities such as metadata discovery, documentation generation, data quality monitoring, lineage tracking, and engineering productivity tasks.
• Prepare and validate AI-ready datasets and data products for analytics, reporting, machine learning, and Generative AI initiatives.
• Create and maintain technical documentation, metadata, and data lineage artifacts.
• Build dashboards and monitoring solutions to provide visibility into pipeline performance, data quality metrics, and platform operational health.
• Collaborate with data engineers, architects, analysts, and business stakeholders using Agile development practices.
• Research and evaluate emerging technologies in data engineering, artificial intelligence, automation, and cloud data platforms.
• Present internship accomplishments, findings, and recommendations to Data & AI Engineering leadership.

Requirements & Tech Stack

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, Information Systems, Software Engineering, or related fields.
• Coursework or academic project experience in data structures, databases, software development, data analytics, machine learning, artificial intelligence, or cloud computing.
• Foundational knowledge of SQL and experience querying relational databases.
• Basic programming experience in Python, Java, or a similar programming language.
• Familiarity with data engineering, data analytics, or data science concepts.
• Strong analytical and problem-solving skills.
• Effective verbal and written communication skills.
• Ability to work independently and collaboratively.
• Interest in modern data platforms, cloud technologies, automation, Generative AI, and AI-powered engineering solutions.
• Familiarity with cloud platforms such as Google Cloud Platform (GCP), Microsoft Azure, or Amazon Web Services (AWS).
• Exposure to data visualization tools such as Power BI, Tableau, or Looker.
• Familiarity with Git, GitHub, or other source control systems.
• Exposure to AI technologies such as large language models (LLMs), AI agents, prompt engineering, or Generative AI applications.

Qualifications

• Desired Major(s): Computer Science, Data Engineering, Data Science, Information Systems, Software Engineering, Artificial Intelligence / Machine Learning.
• Graduation Year: Undergraduate students graduating between December 2027 and May 2029; Master's students graduating between December 2027 and May 2028.
• Eligibility:
• Must be a currently enrolled student.
• Available to work 40 hours a week, M-F (8a-5p) beginning in January through June.
• Must be familiar with the university’s requirements to participate in an Intern program.
• Physical Requirements: Walk and stand for extended periods.

Compensation

• $20-$30/hour range.

Note: Entegris does not provide immigration-related sponsorship for this role.