Data Engineer, Coop - S2025
PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences. From casinos and racetracks to online gaming, sports betting and entertainment content, we deliver the experiences people want, how and where they want them.
We’re always on the lookout for those who are passionate about creating and delivering cutting-edge online gaming and sports media products. Whether it’s through ESPN BET, Hollywood Casino, theScore Bet Sportsbook & Casino, or theScore media app, we’re excited to push the boundaries of what’s possible. These state-of-the-art platforms are powered by proprietary in-house technology, a key component of PENN’s omnichannel gaming and entertainment strategy.
When you join PENN Entertainment’s digital team, you’ll not only work on these cutting-edge platforms through theScore and PENN Interactive, but you’ll also be part of a company that truly cares about your career growth. We’re committed to supporting you as you expand your skills and explore new opportunities.
With locations throughout North America, you can build a future at PENN Entertainment wherever you are. If you want to challenge conventions in gaming, media and entertainment, we want to talk to you.
Work-term: May 5, 2025 - August 22, 2025
Number of Openings: 2
Hiring Teams:
- Data Services
- Data Architecture
About the Team:
As part of the theScore Data Engineering team, you will be working with a team of smart, friendly, and dedicated Data Engineers, Analysts, and Data Scientists determined to develop high-quality and sustainable data-driven solutions to improve profitability, growth and the user experience. You’ll work hand in hand with the Analytics & Reporting teams to develop and maintain data pipelines. Internally develop tools to improve workflows and automate processes wherever possible. The ideal candidate has a passion for data, a strong background in data engineering, database management & computer science. An interest in professional sports, betting and/or eSports is a plus.
About the Work:
- Collaborate with Data Science, Reporting, Analytics and other engineering teams to build data pipelines, infrastructure and tooling to support business initiatives
- Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture
- Collaborate with the team to meet performance, scalability, and reliability goals
- Write out tests and thorough documentation for processes and tooling
- Adapt to working with new technologies and frameworks, sometimes headlining the investigation into their usefulness to the team
- Maintain and expand existing systems, tooling and infrastructure
- Collaborate with other members of the Analytics and Reporting teams or others within the company
- Other duties as required.
About You:
- A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms, and software design
- Excellent communication skills.
- Experience with Python
- Experience in SQL and other Relational Databases
- Been part of a data-driven team
- Experience with Docker and Kubernetes
- Good knowledge of Math (e.g. data modeling/applied statistics)
- Experience with data ingestion APIs (e.g. Facebook, Google)
- Experience with Airflow
- Experience with RedShift, Snowflake or other SQL-based data warehouses
- Experience with Event-based architectures is a plus
- Experience building out a scalable infrastructure to fit the needs of a growing company
What We Offer:
- Fun, relaxed work environment
- A voice. We're dedicated to open communication which empowers our employees to drive the company's culture
- A company that encourages a culture of inclusion and diversity
- Opportunity to work on large-scale consumer-facing applications with millions of users
Candidates residing in Ontario requiring special accommodation can email accessibilityoffice@thescore.com
theScore is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability or age.
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