Data Engineer / Data Platform Engineer Internship… at Dow · Kankakee…

Summary: Dow is a leading materials science company that focuses on delivering sustainable solutions through innovation and collaboration. They are seeking a Data Engineer / Data Platform Engineer Intern to assist in the ingestion, persistence, and curation of data, while working closely with a multi-disciplinary team to create and maintain Azure cloud-based data and AI solutions. 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 - 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 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 Required Skills: Azure cloud platform, Azure Data Factory, Azure SQL, Azure OpenAI, Azure Function Apps, Azure Logic Apps, Azure Databricks, Infrastructure as Code, ARM, Bicep, Terraform, Azure DevOps, Role Based Access Control, Service Principals, Managed Identities, Entra Identity Provider, Python, Scala, SQL, PowerShell, Cloud platforms, AWS, GCP, Data lakehouse platforms, Databricks, Snowflake, Structured databases, Semi-structured databases, Non-structured databases, Data ingestion, Data modeling, Data visualization, Microsoft Power BI, Agile methodology, Scrum, Kanban, Version control systems, Code review practices, Security best practices, Compliance standards Internship Start Date: Start in 2026 Fall