Senior Data Engineer

About the role

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.

About the Role & Team As a Senior Data Engineer, you’ll work hand-in-hand with the Data Services team to build, validate and deliver transformed data to meet stakeholder requirements. The ideal candidate has strong SQL skills, a passion for data, a technical background and an interest in professional sports, betting & casino games.

About the Work

- As a key member of our team, you will:

- Liaise with business stakeholders to identify data driven projects and opportunities.

- Liaise with data engineers to build data pipelines and solve related issues.

- Use your SQL expertise to develop dbt models.

- Manage Airflow tasks and scheduling.

- Assist team members in solving data issues related to both analysis and modeling.

- Complete analyses and present clear recommendations to business stakeholders.

- Oversee team analysis to ensure data and insights shared are accurate and informative.

- Help with implementation & adoption of a data exploration tool across the organization

- Provide support on data engineer hiring, onboarding and continued professional development. Mentor others.

- Other duties as required

About the You

- University degree in Computer Science, Statistics, Business, or related field.

- You possess a minimum of 4+ years of experience in analytics engineering/data engineering,

- You bring hands-on expertise with our technology stack: BigQuery, dbt, Airflow, Python, and relational databases.

- You have a proven track record in building and optimizing data transformation pipelines

- You excel in managing relationships with both internal and external stakeholders, ensuring alignment and