Data Engineer Intern

As a Data Engineering Intern, you’ll gain hands-on experience supporting the development, monitoring, and optimization of our data infrastructure. You’ll work with experienced data engineers and collaborate with teams across Engineering, Business Intelligence, and Data Science to ensure data is reliable, accessible, and scalable.

This internship is designed to give you exposure to real-world data engineering practices, including relational databases, data pipelines, and cloud-based data warehouses. You’ll have the opportunity to learn how data powers decisions at a fast-growing fintech company while developing your technical skills in a supportive, collaborative environment.

When: May-August 2027

Location: Hybrid, downtown Chicago HQ (in-office 2x/week). Candidates must be local or able to relocate independently - relocation assistance is not provided.

Schedule: 40 hours/week

• →Currently pursuing a degree in Computer Science, Data Engineering, or a related field
• →Understanding of relational databases and SQL fundamentals
• →Familiarity with concepts like row vs. column-based storage in data warehousing
• →Interest in ELT processes and data modeling
• →Strong problem-solving skills and attention to detail
• →Clear communication and eagerness to learn from senior team members

• Experience with Python or Ruby for automation or scripting
• Exposure to Snowflake, DBT, or Fivetran
• Familiarity with Terraform or other infrastructure-as-code tools
• Interest in automated testing and data quality practices