Super Day - Data Engineering Internship

Perpay - Career's Page • Philadelphia, PA

3d • Onsite

About The Position

This is a 🚀 Super Day Hiring Event 🚀 specific job posting for a Data Engineering Internship at Perpay, a certified B Corp and growth-stage startup focused on improving the financial stability of everyday Americans. Perpay has a strong product-market fit and a profitable operating model, with over 500,000 customers and over $1 billion in spending power. The company is scaling operations, building new offerings, and deepening its impact. The internship is a unique opportunity to land the role in one day through an accelerated hiring event on November 13th at Perpay HQ in Philadelphia, which includes an office tour, team meet-and-greets, and a fast-tracked interview process. Applicants must complete a pre-work challenge to be considered. The application deadline is November 2nd. The data team is organized into Data Engineering, Data Science, and Strategic Analytics. Data Engineering is responsible for the warehouse, orchestration layer, and data pipelines. Focus areas for the year include real-time event ingestion, redesigning the risk decisioning service, AI-agent data access on Redshift Serverless, ERP/EDI standardization, and AI-assisted workflows. The internship is designed for learning through real work, including building data pipelines, designing tools and infrastructure for data analysis, and working on data warehousing problems. Interns will partner with stakeholders across Risk, Commerce, Marketing, Ops, and Finance, and use technologies such as AWS (Redshift, Glue, ECS, DMS), Fivetran, Airflow, DataHub, Terraform, Python, and SQL. Perpay emphasizes its people as its greatest strength and welcomes new team members.

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 alongside the team that owns them.
• 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 most-used pipelines, and read codebase to start asking questions.
• Get fluent enough in Airflow setup and Redshift conventions to navigate the codebase independently.
• Scope your first real project with a mentor, including design decisions and trade-offs.
• 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 understand 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