Data Engineer

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, software engineer, or machine learning 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 streaming data pipelines

Work with data science to build best-in-class SDLC and MLops processes

Deploy and orchestrate data science models

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

About You

A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design

3+ years of experience in data engineering, machine learning or software engineering

Strong knowledge of Python and at least 1 compiled language like Java, Go, or Elixir

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

Strong knowledge of relational databases and SQL

Some experience setting up CI/CD pipelines for Machine Learning projects. Skilled in testing and validating code, data, data schemas, and models

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

Fun, relaxed work environment

Education and conference reimbursements.

Parental leave top up

Opportunities for career progression and mentoring others

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.