Senior Data Engineer, Java

Toronto, ON

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theScore, a wholly-owned subsidiary of PENN Entertainment , empowers millions of sports fans through its digital media and sports betting products. Its media app ‘theScore’ is one of the most popular in North America, delivering fans highly personalized live scores, news, stats, and betting information from their favorite teams, leagues, and players. theScore’s sports betting app ‘theScore Bet Sportsbook & Casino’ delivers an immersive and holistic mobile sports betting and iCasino experience. theScore Bet is currently live in the Company's home province of Ontario. theScore also creates and distributes innovative digital content through its web, social and esports platforms.

About the Role & Team

As part of the Data Engineering team, you will be working with a team of smart, friendly, and dedicated Data Engineers, ML Engineers, and Data Scientists determined to develop high-quality data products that power core features of our app. The ideal candidate has a passion for data, a strong background in computer science with recent experience as a data engineer or software engineer. An interest in professional sports, betting and/or eSports is a plus.

About the Work

As a key member of our Data Engineering team you will:

  • Develop event-driven distributed systems that process large amounts of data and integrate with downstream back end services
  • Build internal tools and libraries to help accelerate other backend teams
  • Build streaming data pipelines
  • Work with data science and data engineering teams to build best-in-class SDLC processes
  • Oversee the design and maintenance of data systems and contribute to the continual enhancement of the data platform
  • Collaborate with the team to define, track, and meet SLOs
  • Maintain and expand existing systems, tooling and infrastructure
  • Other duties as required.

About You

  • A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design
  • 6+ years of experience in data engineering or software engineering
  • Strong knowledge of Java, Java frameworks (Springboot or Quarkus), Design Patterns and Domain Driven Design
  • Passionate about clean code architecture and software craftsmanship.
  • Have built distributed systems to solve complex problems over very large datasets
  • Experience with Kafka, Pub/Sub, or some other streaming platform
  • Strong knowledge of tools like Airflow to orchestrate data pipelines
  • Familiarity with Docker and Kubernetes
  • Experience with at least one major cloud platform (AWS, GCP, Azure)
  • Strong organization and collaboration skills
  • Excellent written and oral communications skills.
  • Nice to have: Knowledge of Python, GO, Reactive programming

What We Offer

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

#LI-Hybrid

#LI-Remote

 

Candidates residing in Ontario requiring special accommodation can email accessibilityoffice@thescore.com

theScore is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability or age.

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Airflow Architecture AWS Azure Computer Science Data pipelines Distributed Systems Docker Engineering GCP Java Kafka Kubernetes Machine Learning Pipelines Python SDLC Streaming

Perks/benefits: Competitive pay Parental leave

Regions: Remote/Anywhere North America
Country: Canada

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