Data Engineer, Coop - F2025
Data Engineer, Coop - F2025
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Job Description
PENN Entertainment Inc. is North Americas 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.
Were always on the lookout for those who are passionate about creating and delivering cuttingedge online gaming and sports media products. Whether its through ESPN BET Hollywood Casino theScore Bet Sportsbook & Casino or theScore media app were excited to push the boundaries of whats possible. These stateoftheart platforms are powered by proprietary inhouse technology a key component of PENNs omnichannel gaming and entertainment strategy.
When you join PENN Entertainments digital team youll not only work on these cuttingedge platforms through theScore and PENN Interactive but youll also be part of a company that truly cares about your career growth. Were 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.
Workterm: September 2 2025 December 19 2025
Number of Openings: 2
Hiring Teams:
- Data Services
- Fulfillment Platform
About the Role & 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 highquality and sustainable datadriven solutions to improve profitability growth and the user experience. Youll 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 datadriven team
- Experience with Docker and Kubernetes
- Good knowledge of Math (g. data modeling/applied statistics)
- Experience with data ingestion APIs (g. Facebook Google)
- Experience with Airflow
- Experience with RedShift Snowflake or other SQLbased data warehouses
- Experience with Eventbased 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. Were dedicated to open communication which empowers our employees to drive the companys culture
- A company that encourages a culture of inclusion and diversity
- Opportunity to work on largescale consumerfacing applications with millions of users
Candidates residing in Ontario requiring special accommodation can email
theScore iscommitted 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.
Employment Type
Full Time
