About the job

SummaryBy Outscal

This role involves building distributed systems for processing large datasets, using Java and frameworks like Springboot. Experience with Kafka, Airflow, Docker, and Kubernetes is essential. Familiarity with cloud platforms is a plus.

Penn Interactive (PI) is an interactive gaming company headquartered in Philadelphia. PI is the digital arm of PENN Entertainment (NASDAQ: PENN), the largest regional casino operator in the U.S.). Our mission is to challenge the norms of the gaming industry by building an immersive interactive gaming experience that is responsible, innovative, and fun. We are committed to helping our team members grow and succeed.  We believe that hiring talented individuals that love what they do will help us win!

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 a passion for data, a strong background in computer science with recent experience as a data engineer or software engineer. 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 event-driven distributed systems that process large amounts of data and integrate with downstream back end services
  • Build internal tools and libraries to help accelerate other backend teams
  • Build streaming data pipelines
  • Work with data science and data engineering teams to build best-in-class SDLC processes
  • Oversee the design and maintenance of data systems and contribute to the continual enhancement of the data platform
  • Collaborate with the team to define, track, and meet SLOs
  • Maintain and expand existing systems, tooling and infrastructure
  • Other duties as required.

About You

  • A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design
  • 6+ years of experience in data engineering or software engineering
  • Strong knowledge of Java, Java frameworks (Springboot or Quarkus), Design Patterns and Domain Driven Design
  • Passionate about clean code architecture and software craftsmanship.
  • Have built distributed systems to solve complex problems over very large datasets
  • Experience with Kafka, Pub/Sub, or some other streaming platform
  • Strong knowledge of tools like Airflow to orchestrate data pipelines
  • Familiarity with Docker and Kubernetes
  • Experience with at least one major cloud platform (AWS, GCP, Azure)
  • Strong organization and collaboration skills
  • Excellent written and oral communications skills.
  • Nice to have: Knowledge of Python, GO, Reactive programming

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

#LI-Remote

#LI-Hybrid

Check out our LinkedIn page!

Recently being recognized as a top workplace in the United States, we believe people work their best when they can be themselves. We are looking for hungry, innovative thinkers to help us challenge the status quo of the gaming industry.  Diversity, equity, and inclusion are vital to all of our processes, programs, and structures. Your story, who you are, and your experience matter here.

About The Company

Penn Interactive (PI) is an interactive gaming company headquartered in Philadelphia,PA with offices in Greenfield, MA, and Cherry Hill, NJ. As the digital arm of PENN Entertainment (NASDAQ: PENN), North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences, we are poised for fast-paced growth in the sports betting and online casino space. We have teamed up with theScore to create a unique and exciting sports betting experience through our retail books and the Sportsbook mobile apps.

Pennsylvania, United States (Hybrid)

Pennsylvania, United States (Hybrid)

Pennsylvania, United States (Hybrid)

Pennsylvania, United States (Hybrid)

Pennsylvania, United States (Hybrid)

Pennsylvania, United States (On-Site)

Pennsylvania, United States (Hybrid)

Pennsylvania, United States (Hybrid)

Pennsylvania, United States (Hybrid)

Pennsylvania, United States (Hybrid)

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