Data Engineer
US$160,000 – US$205,000 / yr base salary
Posted 2 Sep 2026
Advertised as “Staff Data Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- People management
- Employment
- Remote
| Base salary | US$160,000 – US$205,000 / yr |
|---|
Field of studyBusiness, Computer Science, Data Engineering, Information Systems, Statistics (or related)
Study levelBachelor's
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 Staff Data Engineer, you'll partner closely with Data Services, Analytics Engineering, Product, and Business stakeholders to design and deliver scalable, reliable, and high-quality data solutions. You will play a key technical leadership role, helping shape the architecture, standards, and future direction of our data platform. The ideal candidate combines deep technical expertise with strong communication skills, a passion for data, and an interest in sports, gaming, and digital products.
About the Work
As a key member of our team, you will:
- Collaborate with business stakeholders to identify and prioritize data-driven opportunities and initiatives.
- Design, build, and maintain scalable data pipelines supporting analytics, reporting, product, and operational use cases.
- Develop, test, and optimize dbt models following data modeling best practices.
- Manage and support orchestration platforms including Airflow and exposure to Dagster.
- Design and implement dimensional, semantic, and analytical data models to support self-service analytics and business intelligence.