theScore

Data Engineering Manager, Services

Toronto, Ontario
Elixir Docker Machine Learning Python Java Go Kafka Streaming Kubernetes
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Description

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 strong leadership skills, a passion for data, a strong background in computer science, and an interest in professional sports, betting and/or eSports.

About the Work

  • Manage the day-to-day activities of the data engineering team, providing goal setting, mentorship, coaching, leadership, guidance and performance management and feedback. 
  • Liaise with product management and other engineering teams to bring a new data science solution to life, including integration with downstream back end services
  • Prioritize and manage data-related projects cross-functionally from inception to delivery
  • Help with hiring initiatives across the product and engineering departments
  • Collaborate with the team to define, track, and meet SLOs
  • Stay current with trends, techniques, technology and other factors impacting data engineering as deemed necessary

About You

  • A solid foundation in computer science, with strong competencies in data structures, distributed systems, and software/system design
  • Minimum 3-5 years in a data-oriented leadership or management role, combined with at least 8 years of experience in software development
  • Experience leading teams of 3 engineers or more
  • Demonstrated time management, project management and problem solving skills
  • Ability to communicate complex technical information to various stakeholders, including non-technical members of the organization
  • Excellent presentation and communication skills
  • Demonstrated ability to effectively collaborate and work with all levels of the organization
  • Excellent teamwork and team building skills with a proven ability to delegate
  • Knowledge of Python and at least 1 compiled language like Java, Go, or Elixir
  • Have built or led the development of distributed systems to solve complex problems over very large datasets
  • Experience with Kafka, Pub/Sub, or some other streaming platform
  • Understanding of tools like Airflow to orchestrate data pipelines
  • Familiarity with Docker and Kubernetes
  • Some experience overseeing the development CI/CD pipelines for Machine Learning projects.
  • Skilled in testing and validating code, data, data schemas, and models

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.

 

theScore
theScore
Apps Digital Media eSports Fantasy Sports Mobile Sports

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