Data Engineer, Java

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.

About the Role & Team

As part of the Data Engineering team, you will be working with a team of smart, friendly, and dedicated Data Engineers, ML Engineers, and Data Scientists determined to develop high-quality data products that power core features of our app. The ideal candidate has a passion for data, a strong background in computer science with recent experience as a data engineer or software engineer. An interest in professional sports, betting and/or eSports is a plus.

About the Work

As a key member of our Data Engineering team you will:

• Develop event-driven distributed systems that process large amounts of data and integrate with downstream back end services
• Build internal tools and libraries to help accelerate other backend teams
• Build streaming data pipelines
• Work with data science and data engineering teams to build best-in-class SDLC processes
• Oversee the design and maintenance of data systems and contribute to the continual enhancement of the data platform
• Collaborate with the team to define, track, and meet SLOs
• Maintain and expand existing systems, tooling and infrastructure
• Other duties as required.

About You

• A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design
• 6+ years of experience in data engineering or software engineering
• Strong knowledge of Java, Java frameworks (Springboot or Quarkus), Design Patterns and Domain Driven Design
• Passionate about clean code architecture and software craftsmanship.
• Have built distributed systems to solve complex problems over very large datasets
• Experience with Kafka, Pub/Sub, or some other streaming platform
• Strong knowledge of tools like Airflow to orchestrate data pipelines
• Familiarity with Docker and Kubernetes
• Experience with at least one major cloud platform (AWS, GCP, Azure)
• Strong organization and collaboration skills
• Excellent written and oral communications skills.
• Nice to have: Knowledge of Python, GO, Reactive programming

What We Offer

• Competitive compensation package
• Fun, relaxed work environment
• Education and conference reimbursements.
• Parental leave top up
• Opportunities for career progression and mentoring others

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Candidates residing in Ontario requiring special accommodation can email [email protected]

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.