Senior Data Engineer

Summary

Join Penn Interactive's theScore Data Engineering team as a key member contributing to high-quality, sustainable data-driven solutions. Collaborate with ML, Analytics, and Reporting teams to develop and maintain data pipelines and internal tools. Develop and maintain APIs, services, and orchestration systems for data fulfillment. Integrate with third-party APIs and landing zones, overseeing data system design and maintenance. Build streaming data pipelines and collaborate on defining and meeting SLOs. Maintain and expand existing systems, tooling, and infrastructure. The ideal candidate possesses a strong background in data engineering, database management, and computer science, along with a passion for data.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

An interest in professional sports, betting and/or eSports is a plus

Benefits

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