Senior Data Engineer, Fulfillment
Philadelphia, PA
Penn Interactive
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 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
- A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design
- 5+ years of experience in data engineering or software engineering
- Have built distributed systems to solve complex problems over very large datasets
- Strong knowledge of Python and at least 1 compiled language like Java, Go, or Elixir
- Experience with FastAPI, Flask, or another Python web framework
- Experience with Kafka, Pub/Sub, or similar messaging systems
- Strong knowledge of tools like Airflow to orchestrate data pipelines
- Very comfortable deploying and maintaining services on Kubernetes
- Strong knowledge of relational databases and SQL
- Experience with a cloud data warehouse like BigQuery or Redshift
- 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.
- Comprehensive Benefits package.
- Fun, relaxed work environment.
- Education and conference reimbursements.
#LI-Hybrid
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs AWS Azure BigQuery Computer Science Data pipelines Data warehouse Distributed Systems Elixir Engineering FastAPI Flask GCP Java Kafka Kubernetes Machine Learning Pipelines Python RDBMS Redshift SQL Streaming
Perks/benefits: Career development Competitive pay Equity / stock options Startup environment
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