Azure Data Engineer Intern: Cloud Pipelines & AI

Dow Inc.

Blue Island (IL)

On-site

USD 36,000 - 54,000

Part time

4 days ago
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Job summary

Dow Inc. is offering a part-time Data Engineer Intern role based in Champaign, IL at the UIUC Dow Delivery Center. The internship focuses on data ingestion, persistence, and curation, guided by on-site mentors, for a 14–15 week spring term.

Applicants should be enrolled at UIUC and pursuing a related technical degree, with 1–3 years to graduation. The role includes hands-on Azure cloud projects and collaboration across an analytics team.

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.
  • Must be able to work legally in the United States; no visa sponsorship is available.

Responsibilities

  • Create data pipelines for projects in the Azure environment.
  • Design, develop, test, and implement analytics including data ingestion from multiple sources.
  • Identify opportunities to innovate with digital capabilities to accelerate Dow’s digital transformation.
  • Work with a multidisciplinary IT team to develop and maintain Azure cloud-based data and AI solutions.

Skills

Python
Scala
SQL
Azure
PowerShell
Data ingestion
Data modeling

Education

Bachelors or Masters in Computer Science or related Engineering
Enrollment at UIUC (University of Illinois Urbana-Champaign)

Tools

Azure Data Factory
Azure SQL
Azure Databricks
ARM (Azure Resource Manager)
Bicep
Terraform

Job description

Dow Inc. is offering a part-time Data Engineer Intern role based in Champaign, IL at the UIUC Dow Delivery Center. The internship focuses on data ingestion, persistence, and curation, guided by on-site mentors, for a 14–15 week spring term.

Applicants should be enrolled at UIUC and pursuing a related technical degree, with 1–3 years to graduation. The role includes hands-on Azure cloud projects and collaboration across an analytics team.

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