Data Engineer / Data Platform Engineer Internship Fall 2026 Semester at the Dow Delivery Center at UIUC (Champaign, IL)

Dow•Kankakee, IL

3d•Onsite

About The Position

Dow has part-time Data Engineering and Data Platform Engineering internship opportunities within Dow's Enterprise Data & Analytics organization. This position is an in-person, part-time (15-20 hours per week) internship role based out of Champaign, IL at the Dow Delivery Center at UIUC (University of Illinois Urbana Champaign) in Research Park. 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 12-14 weeks during the fall academic semester. As a Data Engineer Intern, you 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. As a Data Platform Engineer Intern, you will work with a multi-disciplinary IT expert team of analysts, engineers, developers, and support team members to create and maintain Azure cloud-based data and AI solutions. The on-site Dow Delivery Center at UIUC people manager and technical manager will provide in-person mentorship across your day-to-day activities which may include: Develop and implement Azure cloud-based solutions for data and AI, ensuring they meet the organization's requirements and standards. This includes utilizing tools like Azure Data Factory, Azure SQL, Azure OpenAI, Azure Function Apps, Azure Logic Apps, and Azure Databricks. Maintain and monitor existing Azure infrastructure and workloads to ensure optimal performance, reliability, and scalability. Any failures or enhancements to be fixed with infrastructure as code tools such as ARM, Bicep and Terraform within Azure DevOps. Ensure the security of Azure applications and infrastructure by implementing best practices and security measures with Role Based Access Controls, and authentication using Service Principals and Managed Identities from Entra as an Identity Provider. Perform troubleshooting and root cause analysis for infrastructure issues to ensure minimal downtime and quick resolution. Work closely with developers and senior employees to implement continuous delivery systems and methodologies on Azure. Designs that are created will be implemented following the best practices during sprints as part of the Agile methodology. Document best practices, workflow, and strategies regarding solutions, knowledge transfer, and infrastructure maintenance in DevOps Wiki.

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.
Effectively troubleshoot and resolve issues.
Works well with cross-functional teams and communicates effectively (spoken and written).
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 cloud-based data lakehouse platforms such as Databricks or Snowflake
Familiarity with Python, Scala, and SQL programming languages as well as scripting languages like PowerShell
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.
Familiarity with cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure.
Familiarity with Python, Scala, and SQL programming languages.
For Data Platform Engineering specifically, familiarity with Python, Scala, and SQL programming languages as well as scripting languages like PowerShell.
Experience with structured/semi-/non-structured databases, data ingestion, and data modeling.
Familiarity with security and compliance best practices and standards.

Responsibilities

Create data pipelines for projects in the Azure environment.
Design, develop, test, and implement analytics, including 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.
Develop and implement Azure cloud-based solutions for data and AI, ensuring they meet the organization's requirements and standards.
Maintain and monitor existing Azure infrastructure and workloads to ensure optimal performance, reliability, and scalability.
Ensure the security of Azure applications and infrastructure by implementing best practices and security measures with Role Based Access Controls, and authentication using Service Principals and Managed Identities from Entra as an Identity Provider.
Perform troubleshooting and root cause analysis for infrastructure issues to ensure minimal downtime and quick resolution.
Work closely with developers and senior employees to implement continuous delivery systems and methodologies on Azure.
Document best practices, workflow, and strategies regarding solutions, knowledge transfer, and infrastructure maintenance in DevOps Wiki.

Benefits

Dow has part-time Data Engineering and Data Platform Engineering internship opportunities within Dow's Enterprise Data & Analytics organization.
This position is an in-person, part-time (15-20 hours per week) internship role based out of Champaign, IL at the Dow Delivery Center at UIUC (University of Illinois Urbana Champaign) in Research Park.
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 duration of the internship is typically 12-14 weeks during the fall academic semester.
This position does not offer relocation or housing assistance.
Must have access to public transportation or have personal/reliable transportation during the work term to complete internship shifts in-person at the Dow Delivery Center at UIUC.
Bachelors: $25.72-$34.28 per hour; Masters: $36.35-$38.41 per hour
Dow is committed to equal opportunities in employment.
Dow is an Equal Employment Opportunity employer and is committed to providing opportunities without regard for race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, disability and genetic information, including family medical history.
We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.