Senior Data Engineer, Fulfillment at theScore

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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 theScore Data Engineering team, you will be working 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. You’ll work hand in hand with the ML, Analytics, and Reporting teams to develop and maintain data pipelines & 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 professional sports, betting and/or eSports is a plus.

About the Work

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

Develop and maintain APIs, services, and orchestration systems to facilitate data fulfillment for partners and internal consumers
Integrate with 3^rd 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

About You

A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design
5+ years of experience in data engineering or software engineering
Have built distributed systems to solve complex problems over very large datasets
Strong knowledge of Python and at least 1 compiled language like Java, Go, or Elixir
Experience with FastAPI, Flask, or another Python web framework
Experience with Kafka, Pub/Sub, or similar messaging systems
Strong knowledge of tools like Airflow to orchestrate data pipelines
Very comfortable deploying and maintaining services on Kubernetes
Strong knowledge of relational databases and SQL
Experience with a cloud data warehouse like BigQuery or Redshift
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.
Comprehensive Benefits package.
Fun, relaxed work environment.
Education and conference reimbursements.

#LI-Remote

#LI-Hybrid

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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