Data Engineer, Fulfillment

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 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 ML, Analytics, and Reporting teams to develop and maintain data pipelines & internally developed 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

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

• Develop and maintain APIs, services, and orchestration systems to facilitate data fulfillment for partners and internal consumers
• Integrate with 3rd party APIs and landing zones
• Oversee the design and maintenance of data systems and contribute to the continual enhancement of the data fulfillment platform
• Build streaming data pipelines
• Collaborate with the team to define, track, and meet SLOs
• Maintain and expand existing systems, tooling and infrastructure

About You

• 2+ years of experience in data engineering, software engineering, or a related technical field
• Strong foundation in computer science, including data structures, algorithms, and software design
• Proficient in Python, with experience in object-oriented programming and building data workflows and services
• Familiarity with Python web frameworks such as FastAPI or Flask (nice to have)
• Experience designing and maintaining scalable data pipelines using orchestration tools like Apache Airflow
• Skilled in SQL, with hands-on experience in data modeling, transformation, and analysis using relational databases
• Experience working with cloud data warehouse like BigQuery or Redshift
• Experience with Kafka, Pub/Sub, or similar messaging systems
• Exposure to stream processing frameworks such as Apache Beam is a plus
• Experience deploying scalable applications using Docker and Kubernetes
• Experience with at least one major cloud platform (AWS, GCP, Azure)
• Strong collaboration and organizational skills, with excellent written and verbal communication

What We Offer

• Competitive compensation package.
• Comprehensive Benefits package.
• Fun, relaxed work environment.
• Education and conference reimbursements.

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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.