As a Data Engineer Intern, you will work with a cross-functional team whose objective is to deliver solutions that drive business value for Dow. Recent solutions include carbon visibility, plastics circularity, and sales opportunities utilizing our enterprise data ecosystem. The Data Engineer Intern 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.
Qualifications
Required:
- 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:
- 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 Python, Scala, and SQL programming languages.
- 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 Amazon Web Services (AWS), Google Cloud Platform (GCP), or Azure. Familiarity with Python, Scala, and SQL programming languages.
- Problem-Solving Skills: Effectively troubleshoots and resolves 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.
A reasonable pay range for this position is: Bachelors: $25.72-$34.28 per hour; Masters: $36.35-$38.41 per hour
