Data Engineer Position at theScore

theScore, a wholly-owned subsidiary of PENN Entertainment, is seeking a talented Data Engineer to join our innovative Data Engineering team in Ontario. This role offers the chance to contribute significantly to the development and operational excellence of our high-demand sports media and betting applications.

About theScore

Powering millions of fan experiences, theScore is renowned for its premier digital media and sports betting products. Our popular app provides personalized live scores, news, stats, and betting info across favorite teams and leagues. Additionally, our theScore Bet Sportsbook & Casino app offers a comprehensive mobile sports betting and iCasino experience, catering to a diverse user base. Beyond apps, theScore thrives in digital content creation via web, social, and esports platforms.

Role Overview & Team

Join our team of skilled Data Engineers, ML Engineers, and Data Scientists who are focused on crafting top-quality data products that enhance core functionalities of our app. We value passion for data, proficiency in computer science, and recent experience in roles such as Data Engineer, Software Engineer, or Machine Learning Engineer. A keen interest in professional sports, betting, and/or eSports will be considered an asset.

Core Responsibilities

• Develop and manage event-driven distributed systems for extensive data handling and backend service integration.
• Construct real-time data streaming pipelines.
• Implement industry-leading SDLC and MLOps processes in collaboration with our Data Science team.
• Deploy, orchestrate, and maintain data science models.
• Lead the design and ongoing enhancement of our robust data systems and platforms.
• Define and achieve specific Service Level Objectives (SLOs) with your team.
• Extend and refine existing systems, tools, and infrastructure.

Your Expertise

• Strong foundation in computer science, including data structures, distributed systems, algorithms, and software design.
• Minimum of 3 years in data engineering, machine learning, or a related field.
• Proficient in Python and one compiled language (Java, Go, Elixir).
• Competent with Kafka, Pub/Sub or similar streaming platforms.
• Experienced in using orchestration tools like Airflow and managing databases via SQL.
• Familiarity with Docker, Kubernetes, and major cloud platforms (AWS, GCP, Azure).
• Exposure to CI/CD pipelines especially for Machine Learning projects.
• Excellent communication and collaborative skills.

What We Offer

• Competitive salary and benefits package.
• Casual and inclusive working environment.
• Support for continuous education and professional development.
• Enhanced parental leave program.
• Opportunities for career advancement and personal growth.

Candidates in Ontario requiring special accommodations are encouraged to email [email protected]. theScore is an equal opportunity employer committed to diversity and inclusion. We welcome all qualified candidates regardless of race, color, religion, gender identity, or sexual orientation.