Data Engineer Intern
About The Position
CHS is seeking a Data Engineer Intern to join its Data Engineering team in the Information Technology division for summer 2027. The intern will gain hands-on experience building scalable, governed, and business-aligned data products across the enterprise. They will work with data engineers, analysts, data scientists, product owners, and business stakeholders, and learn about modern data engineering tools, development practices, and enterprise data platforms. The internship is designed for a curious, analytical student interested in data engineering, analytics, or cloud technologies. Interns contribute to meaningful projects and develop practical skills and leadership capabilities while working alongside experienced professionals and connecting with mentors, industry experts, and senior leaders.
Requirements
- Currently pursuing a bachelor's degree in Computer Science, Data Science, Information Technology, Management Information Systems, Engineering, Mathematics, or a related field.
- Foundational knowledge of SQL and/or Python through coursework, personal projects, internships, or other hands-on experience.
- Basic understanding of databases, data structures, software development, analytics, or data engineering concepts.
Nice To Haves
- Coursework or project experience involving SQL, Python, databases, data pipelines, data modeling, analytics, or software development.
- Exposure to cloud technologies such as AWS, Microsoft Azure, or similar platforms.
- Exposure to Snowflake, dbt, Git, Azure DevOps, APIs, Power BI, or related technologies.
- Familiarity with version control, software development practices, or CI/CD concepts.
- Experience through academic projects, student organizations, personal projects, or previous internships involving data or software development.
- Interest in modern data engineering, cloud platforms, artificial intelligence, analytics, automation, or enterprise technology.
- Interest in agriculture, energy, supply chain, logistics, trading, finance, go-to-market, or operations data domains.
Responsibilities
- Work with data engineers and business partners to understand business requirements, source systems, and analytics needs.
- Assist with building, testing, and maintaining data pipelines, transformations, data models, and analytics-ready datasets.
- Develop SQL and Python solutions with guidance from experienced engineers.
- Gain hands-on experience with Snowflake, dbt, AWS, Microsoft technologies, and other modern data engineering tools.
- Support development of governed data products for reporting, analytics, data science, automation, and business decision-making.
- Participate in testing, documentation, version control, and CI/CD development practices.
- Help investigate data quality issues and pipeline failures, and identify opportunities to improve or automate existing processes.
- Collaborate with data engineers, analysts, data scientists, DevOps teams, architects, and other technology partners.
- Learn and apply enterprise data governance concepts, including access controls, naming standards, data quality, and documentation.
- Contribute to team discussions, technical problem-solving, and continuous improvement initiatives.
- Develop an understanding of how data engineering solutions progress from business requirements through development and into production.
- Embody a culture of ownership, curiosity, collaboration, continuous improvement, innovation, and learning.
Benefits
- Paid internship program.
- Competitive total rewards package.
- Eligible participants may participate in a 401(k), if eligibility requirements are met.
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What This Job Offers
Career Level
Intern
