Data Engineer Internship Summer 2026 at the Dow Delivery Center at UIUC (Champaign, IL)

Dow•Kankakee, IL

3d•$26 - $38•Onsite

About The Position

At Dow, we believe in putting people first and we’re passionate about delivering integrity, respect and safety to our customers, our employees and the planet. Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We’re a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you’re looking for a challenge and meaningful role, you’re in the right place. Dow has a Data Engineering Internship opportunity within Dow's Enterprise Data & Analytics organization. This position is an in-person, full-time internship role based out of Champaign, IL at the Dow Delivery Center at UIUC (University of Illinois Urbana Champaign). Individuals who are within one to three years of graduation and are currently enrolled at the University of Illinois Urbana Champaign working towards a Bachelor's or Master’s degree in a related technical field are encouraged to apply. The duration of the internship is typically 11-12 weeks during the Summer 2026. As a Data Engineer Intern, you will work with a cross-functional team whose objective is to deliver solutions that drive business value for Dow. Recent solutions include carbon visibility, plastics circularity, and sales opportunities utilizing our enterprise data ecosystem. The Data Engineer Intern will focus on the ingestion, persistence and curation of data as defined by specific projects. The on-site Dow Delivery Center at UIUC people manager and technical manager will provide in-person mentorship across your day-to-day activities. The Data Engineer Intern will work closely with a multi-disciplinary team to: Create data pipelines for projects in the Azure environment. Design, develop, test, and implement analytics. This includes the curation and ingestion of data from different source systems, driving end-to-end data flow for multiple solutions. Identify opportunities for innovating with digital capabilities aiming to accelerate Dow’s digital transformation.

Requirements

Must be currently enrolled at the University of Illinois Urbana Champaign.
Must be working towards a Bachelor's or Master's degree in a related technical field.
Must be within one to three years of graduation.
A minimum requirement for this U.S. based position is the ability to work legally in the United States. No visa sponsorship/support is available for this position, including for any type of U.S. permanent residency (green card) process.
Background in computer science, computer information systems or other engineering disciplines.
Familiarity with cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure.
Familiarity with Python, Scala, and SQL programming languages.
Effectively troubleshoots and resolves issues.
Works well with cross-functional teams and communicates effectively (spoken and written).
Familiarity with security and compliance best practices and standards.
Continuously seeks opportunities to improve existing processes and implement new technologies.
Maintains thorough documentation of processes, solutions, and best practices.
Ability to manage your own work effort with little supervision.

Nice To Haves

A GPA of 3.0 or higher.
A degree discipline in Computer Science, Computer Information Systems, or other Engineering Disciplines
Experience with cloud platforms such as AWS, GCP or Azure.
Familiarity with Python, Scala, and SQL programming languages.
Familiarity with data warehouse/lakehouse platforms such as Snowflake or Databricks
Experience with structured/semi-/non-structured databases, data ingestion, and data modeling.
Multi-application and cross-platform design experience.
Proficiency in data visualization tools like Microsoft Power BI.
Knowledge of Agile Methodology, Scrum, or Kanban methodologies.
Knowledge of version control systems and code review practices.

Responsibilities

Create data pipelines for projects in the Azure environment.
Design, develop, test, and implement analytics. This includes the curation and ingestion of data from different source systems, driving end-to-end data flow for multiple solutions.
Identify opportunities for innovating with digital capabilities aiming to accelerate Dow’s digital transformation.

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