Data Engineer Intern

Responsibilities

• Work alongside 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 the development of governed data products used for reporting, analytics, data science, automation, and business decision-making. Participate in testing, documentation, version control, and CI/CD development practices. Assist with investigating data quality issues, pipeline failures, and 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 move from business requirements through development and into production. Embody a culture of ownership, curiosity, collaboration, continuous improvement, innovation, and learning. Minimum Qualifications (required) Currently pursuing a Bachelor’s Degree in Computer Science, Data Science, Information Technology, Management Information Systems, Engineering, Mathematics, or a related field. Additional Qualifications 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. 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, gtm, or operations data domains. CHS offers a competitive total rewards package. Compensation includes base wage and, depending upon position, may include other earnings such as bonus, incentives and commissions. Actual pay offered will vary based on multiple factors which may include, without limitation, experience, education, training, specialized skills and certifications, minimum wage/salary requirements under local law. If eligibility requirements are met, you may participate in 401(k). CHS is an Equal Opportunity Employer/Veterans/Disability. Please note that any communication from a CHS recruiter would be sent using a chsinc.com email address. In addition, a CHS recruiter will not ask for confidential information over the phone or in an email, or request money from a candidate involved in an offer process. If you have questions regarding an employment opportunity, please reach out to [email protected] ; to verify that the communication is from CHS.