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

Dow Chemical•Kankakee, IL

2d•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, including the curation and ingestion of data from different source systems, driving end-to-end data flow for multiple solutions, and 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 developing and implementing Azure cloud-based solutions for data and AI, maintaining and monitoring existing Azure infrastructure and workloads, fixing failures or enhancements with infrastructure as code tools, ensuring the security of Azure applications and infrastructure, performing troubleshooting and root cause analysis for infrastructure issues, working closely with developers and senior employees to implement continuous delivery systems and methodologies on Azure, designing and implementing solutions following best practices during sprints as part of the Agile methodology, and documenting 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.
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.
Effectively troubleshoot and resolve issues.
Work s well with cross-functional teams and communicate s effectively (spoken and written).
Familiarity with security and compliance best practices and standards.
Continuously seek s opportunities to improve existing processes and implement new technologies.
Maintain s 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
Familiarity with cloud-based data lakehouse platforms such as Databricks or Snowflake
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.
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.
Fix failures or enhancements 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.

Benefits

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.

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