Penn Interactive is hiring a
Senior Data Engineer

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Penn Interactive

πŸ’΅ ~$142k-$196k
πŸ“Remote - United States

Summary

Join Penn Interactive as a Data Engineer and contribute to the development of high-quality data-driven solutions. Collaborate with teams to build data pipelines, infrastructure, and tooling. Work on designing and maintaining data pipelines, adapting to new technologies, and expanding existing systems.

Requirements

  • A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design
  • 7+ years of experience in data or software engineering
  • Strong knowledge of Python or Java
  • Strong knowledge of relational databases and SQL
  • Strong knowledge of streaming technologies, such as Kafka, Spark, Flink and Beam
  • Experience with Docker and Kubernetes
  • Experience building out a scalable infrastructure to fit the needs of a growing company
  • Experience with BigQuery, Redshift or other SQL-based data warehouses
  • Experience with at least one major cloud platform (GCP, AWS, Azure)
  • Experience with testing frameworks such as Pytest, PyUnit, Junit, Mockito
  • Experience with RESTful API development
  • Strong organization and collaboration skills
  • Excellent written and oral communications skills

Responsibilities

  • Collaborate with Data Science, Reporting, Analytics and other engineering teams to build data pipelines, infrastructure and tooling to support business initiatives
  • Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture
  • Collaborate with the team to meet performance, scalability, and reliability goals
  • Write out tests and thorough documentation for processes and tooling
  • Adapt to working with new technologies and frameworks, sometimes headlining the investigation into their usefulness to the team
  • Maintain and expand existing systems, tooling and infrastructure
  • Maintain streaming pipelines that ingest near-real time data
  • Take ownership of projects, plan and collaborate with other members of the Analytics and Reporting teams or others within the company
  • Other duties as required

Benefits

  • Competitive compensation package
  • Fun, relaxed work environment
  • Education and conference reimbursements
  • Parental leave top up
  • Opportunities for career progression and mentoring others

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