Super Day - Data Engineering Internship

Perpay • Philadelphia, PA

2d • Onsite

About The Position

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. Our greatest strength is our people, and we’d love for you to be one of them!

Requirements

• Currently enrolled in or will receive a Master's in Computer Science, Computer Engineering, Information Management, Information Systems, Mathematics, or an equivalent technical discipline, with an expected graduation date between winter 2027 – summer 2028, or equivalent relevant experience.
• Experience using SQL for acquiring and transforming data.
• Experience with database and/or data warehouse operations.
• Exposure to third-party APIs.
• Experience with object-oriented programming languages (Python preferred).

Nice To Haves

• Previous work experience in a technical field
• Exposure to open-source data tooling and cloud computing systems
• Understanding of data types and storage paradigms

Responsibilities

• Build data pipelines.
• Help design tools and infrastructure for analyzing large volumes of data.
• Work through real data warehousing problems.
• Partner directly with stakeholders across Risk, Commerce, Marketing, Ops, and Finance.
• Introduce yourself on Slack and meet your team.
• Get oriented in the warehouse, walk through our most-used pipelines with the rest of the team, and read enough of the codebase to start asking useful questions.
• Get fluent enough in our Airflow setup and Redshift conventions to navigate the codebase independently.
• Scope your first real project with a mentor, including the design decisions and trade-offs involved.
• Ship your first commit (bug fix, documentation update, or small improvement).
• Ship a pipeline, tool, or infrastructure improvement that the team relies on after you're gone.
• Present your work to the broader team.
• Meet with various business owners across the company to build your network and get a feel for how a data team fits into a fast-paced startup.

Benefits

• Hourly compensation
• Espresso bar, full kitchen, weekly catered lunches, snacks, beverages, & everyday lunch essentials
• One-of-a-kind office with comfortable work/lounge spaces and pleasant riverfront setting
• Opportunity to gain experience at one of the fastest-growing financial startups in the country in both e-commerce & fintech, working cross-functionally.

What This Job Offers

• Career Level: Intern