Use SQL to extract, clean, and manipulate data, applying data warehousing and modeling concepts.
Work with team members to understand data requirements and assist in designing data solutions and reporting assets.
Gain exposure to building and maintaining data pipelines using modern Data Engineering concepts (e.g., batch/streaming data processing).
Learn and apply basic cloud data concepts across platforms such as Azure (preferred), AWS, or GCP.
Support troubleshooting related to data quality, report accuracy, connectivity, or pipeline issues.
Document processes for data integration, transformation, reporting, and pipeline maintenance.
Learn foundational concepts related to data governance, security, and compliance in a regulated industry.
Explore AI/ML concepts as they relate to data engineering workflows.

Currently pursuing a Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
Completion of at least 2 years of college coursework.
Foundational understanding of Python, Java, SQL, DBT, or R (coursework or project-based exposure accepted).
Basic knowledge of Power BI or data visualization tools.
Strong analytical and problem-solving skills, with an eagerness to learn new tools and technologies.
Proficient in Excel (pivot tables, data cleaning, transformations).
Effective communication and collaboration skills.

Data Engineering Intern

Key skills