Data Engineer, Fulfillment

14 Hours ago • 2 Years + • Data Analysis • $75,000 PA - $150,000 PA

Job Summary

Job Description

As a Data Engineer on the theScore Data Engineering team, you will be instrumental in developing high-quality, sustainable data-driven solutions to enhance profitability, growth, and user experience. You will collaborate closely with ML, Analytics, and Reporting teams to build and maintain data pipelines and internal tools for workflow improvement and process automation. The role involves developing and maintaining APIs, services, and orchestration systems for data fulfillment, integrating with third-party APIs, overseeing data system design, building streaming data pipelines, and contributing to the enhancement of the data fulfillment platform. You will also collaborate to define and meet SLOs and maintain existing systems, tooling, and infrastructure.
Must have:
  • 2+ years in data or software engineering
  • Strong computer science foundation
  • Proficient in Python for data workflows
  • Skilled in SQL and data modeling
  • Experience with cloud data warehouses
  • Experience with messaging systems (Kafka, Pub/Sub)
  • Experience with Docker and Kubernetes
  • Experience with a major cloud platform
  • Strong collaboration and communication skills
Good to have:
  • Familiarity with Python web frameworks (FastAPI, Flask)
  • Experience with Apache Airflow for orchestration
  • Exposure to stream processing (Apache Beam)
Perks:
  • Competitive compensation package
  • Comprehensive Benefits package
  • Fun, relaxed work environment
  • Education and conference reimbursements

Job Details

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 3rd 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

  • 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.
  • Comprehensive Benefits package.
  • Fun, relaxed work environment.
  • Education and conference reimbursements.

#LI-Remote

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