Data Engineer, Services

Full-time

Remote

Canada, Canada

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:

Collaborate with Data Science, Reporting, Analytics and other engineering teams to build data pipelines, infrastructure and tooling to support business initiatives
Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture
Collaborate with the team to meet performance, scalability, and reliability goals
Write out tests and thorough documentation for processes and tooling
Adapt to working with new technologies and frameworks, sometimes headlining the investigation into their usefulness to the team
Maintain and expand existing systems, tooling and infrastructure
Maintain streaming pipelines that ingest near-real time data
Take ownership of projects, plan and collaborate with other members of the Analytics and Reporting teams or others within the company
Other duties as required

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 or software engineering
Strong knowledge of Python or Java
Strong knowledge of relational databases and SQL
Experience with Docker and Kubernetes
Experience with streaming technologies, such as Kafka, Spark, Flink and Beam
Experience building out a scalable infrastructure to fit the needs of a growing company
Experience with BigQuery, Redshift or other SQL-based data warehouses
Experience with at least one major cloud platform (GCP, AWS, Azure)
Experience with testing frameworks such as Pytest, PyUnit, Junit, Mockito
Experience with RESTful API development
Strong organization and collaboration skills
Excellent written and oral communications skills
NICE TO HAVE: Experience working with Data Scientists or deploying machine learning 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

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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.

Apply now

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