Data Engineer Intern
Location: Fully Remote
Duration: 10–12 weeks
Hours: 15–20 per week, accommodating your class schedule
We’re seeking a Data Engineer Intern to develop an Author Royalty Platform that aggregates sales data from our publishers to compute real-time royalties with graphs, charts, and reports for authors.
What You’ll Do
This unpaid educational internship follows U.S. Department of Labor FLSA guidelines, prioritizing your learning as the primary beneficiary with hands-on training tied to your formal education (academic credit required).
Design ETL pipelines to ingest sales data from multiple distributors (CSV/API), clean/normalize data, and compute royalties per title/author.
Receive structured training in publishing data engineering (sales aggregation, royalty formulas, dashboard visualization) with iterative feedback like classroom critiques.
Qualifications
Enrolled in computer science, data engineering/science, or related program; must be able to receive academic credit.
Proficiency in Python/SQL, data processing (Pandas), APIs/CSV parsing; experience with visualization tools, cloud (Google Sheets/AWS basics) a plus.
Passion for books/data, problem-solving mindset, open to feedback for remote Zoom/Trello collaboration.
What We Offer
Portfolio-ready royalty platform prototype credited.
Stipend-eligible via school programs (e.g., Barnard BBIP, Duke Funding, CUNY Magner)—include details in applications.
Mentorship from publishing pros, free books, references; flexible remote hours. No paid role entitlement post-internship.
We can’t wait to see your platform crunch our book data—let’s build your data engineering skills together!
