About the Role & Team
As part of the Score Data Engineering team, you will work 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.
PENN Entertainment is 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.
You will work hand in hand with the ML, Analytics, and Reporting teams to develop and maintain data pipelines and 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 qualified sports, betting and/or eSports is a plus.
About the Work- Develop and maintain APIs, services, and orchestration systems to facilitate data fulfillment for partners and internal consumers
- Integrate with third‑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
- 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 Big Query 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
- Competitive compensation package
- Comprehensive benefits package
- Fun, relaxed work environment
- Education and conference reimbursements
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search: