Our data team is organized across three groups: Data Engineering, Data Science, and Strategic Analytics. Data Engineering owns the warehouse, the orchestration layer, and the pipelines that move data from our operational systems to everyone who depends on it. This year, with the credit portfolio scaling and our modeling needs getting heavier, focus areas include real-time event ingestion, the risk decisioning service redesign, AI-agent data access on Redshift Serverless, ERP/EDI standardization with Finance and Accounting, and AI-assisted workflows across the engineering lifecycle.
As a Data Engineering intern, your main responsibility is to learn, but you’ll learn it by doing real work. During the summer of 2027, you’ll build data pipelines, help design tools and infrastructure for analyzing large volumes of data, and work through real data warehousing problems alongside the team that owns them. You’ll partner directly with stakeholders across Risk, Commerce, Marketing, Ops, and Finance, and get hands-on with our full stack, which includes AWS (Redshift, Glue, ECS, DMS), Fivetran, Airflow, DataHub, Terraform, Python, and SQL.