Senior Data Engineer

2 weeks ago

Toronto, Canada theScore Full time

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, software engineer, or machine learning 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 streaming data pipelines
  • Work with data science to build best-in-class SDLC and MLops processes
  • Deploy and orchestrate data science models
  • 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

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, machine learning or software engineering
  • Strong knowledge of Python and at least 1 compiled language like Java, Go, or Elixir
  • 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
  • Strong knowledge of relational databases and SQL
  • Some experience setting up CI/CD pipelines for Machine Learning projects. Skilled in testing and validating code, data, data schemas, and models
  • Experience with at least one major cloud platform (AWS, GCP, Azure)
  • Strong organization and collaboration skills
  • Excellent written and oral communications skills.

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

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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