Data Engineering Intern - Summer 2027

Location: Aurora, IL

Job Title

Data Engineering Intern - Summer 2027

Job Description

Here at Entegris, we use advanced science to enable technologies that transform the world, and we are seeking employees who have the drive to continue the mission.

The Role

Our site in Aurora, IL 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 Data Engineering Intern will support Entegris’ AI-ready data platform strategy by working on real-world initiatives spanning cloud data engineering, data products, metadata management, automation, and Generative AI enablement. The intern will help build and optimize data pipelines, improve data quality and governance, enrich metadata and business context, and contribute to AI-focused initiatives such as document ingestion, knowledge management, and the development of AI-powered data engineering agents that automate tasks including metadata discovery, data quality monitoring, lineage documentation, pipeline observability, and engineering productivity workflows. Key deliverables include AI-ready datasets, data quality scorecards, metadata enrichment, intelligent automation solutions, engineering agents, monitoring dashboards, and reusable data engineering assets. The role will provide immediate value to Entegris by accelerating data platform initiatives, increasing engineering efficiency through AI-driven automation, improving data readiness for analytics and AI, and supporting the company’s vision of becoming an AI-native enterprise. In turn, the intern will gain hands-on experience with modern data engineering on Google Cloud, SQL, Python, BigQuery, DataOps, metadata management, AI agent development, Generative AI, and enterprise-scale data product development while collaborating with business and technology teams on strategic initiatives.

What You’ll Do

Assist with building, testing, and optimizing data pipelines to ingest, transform, and deliver data from enterprise source systems into analytics and AI platforms.

Analyze, profile, and validate data to identify data quality issues, support business requirements, and improve the accuracy and reliability of enterprise datasets.

Develop SQL and Python-based solutions to automate data processing, validation, reporting, and other 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 to improve data discoverability, governance, and knowledge sharing.

Build dashboards and monitoring solutions that 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 to support project delivery.

Research and evaluate emerging technologies in data engineering, artificial intelligence, automation, and cloud data platforms, and provide recommendations to the team.

Present internship accomplishments, findings, and recommendations to Data & AI Engineering leadership at the conclusion of the internship.

What We Seek

Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Data Engineering, Information Systems, Software Engineering.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 through coursework, academic projects, internships, or extracurricular activities.

Strong analytical and problem-solving skills.

Effective verbal and written communication skills, including the ability to document technical concepts and present findings.

Ability to work independently and collaboratively within a team-oriented environment.

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.

Desired Major(s) & Graduation Year

Desired Major(s)Computer ScienceData EngineeringData ScienceInformation SystemsSoftware EngineeringArtificial Intelligence / Machine Learning

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 studentAvailable 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

Entegris is not currently hiring candidates for co-ops/internships who will need, now or at any time in the future, Entegris sponsorship through the H1-B lottery.

PHYSICAL REQUIREMENTS

Walk and stand for extended periods.

WHY WORK AT ENTEGRIS?

Lead. Inspire. Innovate. Define Your Future.

Not everyone who works for a global company shares the same background, experiences and perspectives. We leverage the differences of our employees to bring new ideas to the table. Every employee throughout the company i