Remote Senior Data Engineer

Summary

Join Penn Interactive as a Data Engineer to work with a team of smart, friendly, and dedicated engineers to develop high-quality data products that power core features of our app. As a key member of the Data Engineering team, you will develop event-driven distributed systems, build internal tools and libraries, and collaborate with teams to define SLOs.

Requirements

• 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

Responsibilities

• 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

Benefits

• Competitive compensation package
• Fun, relaxed work environment
• Education and conference reimbursements
• Parental leave top up