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 Hollywood Casino, theScore Bet Sportsbook, 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.
- Bachelor's degree in Computer Science, Data Engineering, Statistics, Information Systems, Business, or a related field.
- 8+ years of experience in data engineering, analytics engineering, or a related discipline.
- Hands-on expertise with BigQuery, dbt, Airflow, Python, SQL, and modern cloud data platforms.
- Strong understanding of data warehousing concepts, ETL/ELT design patterns, and dimensional modeling.
- Experience building and optimizing scalable data transformation pipelines in cloud environments.
- Experience working with Google Cloud Platform services such as BigQuery, Cloud Storage, Pub/Sub, and Cloud Composer.
- Exposure to Azure data platforms and services is a plus.
- Proficiency with Git-based development workflows, CI/CD pipelines, and software engineering best practices.
- Experience implementing automated testing, monitoring, and data observability solutions.
- Experience with data visualization and exploration tools such as Looker, Mode,Tableau, or similar platforms.
- Excellent communication and stakeholder management skills, with the ability to translate business requirements into scalable technical solutions.
- Proven ability to lead complex projects and influence technical direction across multiple teams.