Senior Data Engineer, Analytics Platform - Remote Eligible

Senior Data Engineer, Analytics Platform

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. 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.

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 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 & eSports.

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's 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 transparency throughout project lifecycles.
• You excel in fast-paced environments, employing a pragmatic and adaptive approach to problem-solving.
• Experience with a data exploration tool such as Looker or Mode.

What We Offer

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