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Data Engineer, Fulfillment

PENN Interactive

Toronto

Hybrid

CAD 80,000 - 100,000

Full time

Today
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Job summary

A leading interactive entertainment company in Toronto is seeking a Data Engineer to enhance data-driven solutions within their dynamic team. The ideal candidate will have a solid background in data engineering with proficiency in Python and SQL, and experience with tools such as Apache Airflow and Docker. This role offers a hybrid work environment and a competitive compensation package.

Benefits

Competitive compensation package
Fun, relaxed work environment
Education and conference reimbursements

Qualifications

  • 2+ years of experience in data engineering, software engineering, or a related technical field.
  • Strong foundation in computer science, including data structures, algorithms, and software design.
  • Proficient in Python with experience in object-oriented programming.

Responsibilities

  • Develop and maintain APIs, services, and orchestration systems.
  • Integrate with 3rd party APIs and landing zones.
  • Collaborate with the team to define, track, and meet SLOs.

Skills

Python
SQL
Data Engineering
Collaboration
Software Design

Education

Bachelor's Degree in Computer Science or related field

Tools

Apache Airflow
Docker
Kubernetes
BigQuery
Kafka

Job description

PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences. From casinos and racetracks to online gaming, sports betting and entertainment content, we deliver the experiences people want, how and where they want them.

We’re always on the lookout for those who are passionate about creating and delivering cutting-edge online gaming and sports media products. Whether it’s through ESPN BET , Hollywood Casino, theScore Bet Sportsbook & Casino , or theScore media app, we’re excited to push the boundaries of what’s possible. These state-of-the-art platforms are powered by proprietary in-house technology, a key component of PENN’s omnichannel gaming and entertainment strategy.

When you join PENN Entertainment’s digital team, you’ll not only work on these cutting-edge platforms through theScore and PENN Interactive, but you’ll also be part of a company that truly cares about your career growth. We’re committed to supporting you as you expand your skills and explore new opportunities.

With locations throughout North America, you can build a future at PENN Entertainment wherever you are. If you want to challenge conventions in gaming, media and entertainment, we want to talk to you.

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
  • Collaborate with the team to define, track, and meet SLOs
  • Maintain and expand existing systems, tooling and infrastructure

About You

  • 2+ years of experience in data engineering, software engineering, or a related technical field
  • Strong foundation in computer science, including data structures, algorithms, and software design
  • Proficient in Python, with experience in object-oriented programming and building data workflows and services
  • Familiarity with Python web frameworks such as FastAPI or Flask (nice to have)
  • Experience designing and maintaining scalable data pipelines using orchestration tools like Apache Airflow
  • Skilled in SQL, with hands-on experience in data modeling, transformation, and analysis using relational databases
  • Experience working with cloud data warehouse like BigQuery or Redshift
  • Experience with Kafka, Pub/Sub, or similar messaging systems
  • Exposure to stream processing frameworks such as Apache Beam is a plus
  • Experience deploying scalable applications using Docker and Kubernetes
  • Experience with at least one major cloud platform (AWS, GCP, Azure)
  • Strong collaboration and organizational skills, with excellent written and verbal communication

What We Offer

  • Competitive compensation package.
  • Fun, relaxed work environment.
  • Education and conference reimbursements.

#LI-Hybrid

Penn Interactive is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.Base pay is one part of the Total Rewards that Penn Interactive provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Penn Interactive provides best-in-class benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life.

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