Data Engineer / Data Platform Engineer Internship Spring 2027 Semester at the Dow Delivery Center at UIUC (Champaign, IL)

Company Overview

Internship Overview

Data Engineer Intern Responsibilities

• Create data pipelines for projects in the Azure environment.
• Design, develop, test, and implement analytics, including 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.

Data Platform Engineer Intern Responsibilities

• Develop and implement Azure cloud-based solutions for data and AI, ensuring they meet the organization's requirements and standards, 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, fixing 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, following 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Skills

• Technical Proficiency: Background in computer science, computer information systems, or other engineering disciplines; familiarity with cloud platforms such as AWS, GCP, or Azure; familiarity with Python, Scala, and SQL; for Data Platform Engineering specifically, familiarity with Python, Scala, and
• Problem-Solving Skills: Effectively troubleshoot and resolve issues.
• Collaboration and Communication: Works well with cross-functional teams and communicates effectively (spoken and written).
• Security and Compliance: Familiarity with security and compliance best practices and standards.
• Innovation and Improvement: Continuously seeks opportunities to improve existing processes and implement new technologies.
• Documentation and Reporting: Maintains thorough documentation of processes, solutions, and best practices.
• Time Management & Organizational Skills: Ability to manage your own work effort with little supervision.

Compensation

• A reasonable pay range for this position is: Bachelors: $26.25-$35.00 per hour; Masters: $37.12-$39.57 per hour.

Additional Notes

• 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.

About Dow