Remote Senior Data Engineer

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SumerSports

πŸ“Remote - Worldwide

Job highlights

Summary

Join our dynamic team as a Senior Data Engineer and contribute to designing and implementing state-of-the-art data-driven solutions at SumerSports, a leading football intelligence technology company.

Requirements

  • Proven experience as a data engineer, preferably with at least 3 or more years of relevant experience
  • Some exposure designing cloud native solutions and implementations with Kubernetes
  • Experience with Airflow or similar pipeline orchestration tools
  • Strong background in Python programming
  • Demonstrated experience in collaborating with Data Science and Engineering teams in a production environment
  • Firm grasp on SQL and knowledge of relational data modeling schemas

Responsibilities

  • Develop and maintain data pipelines using Databricks, Airflow, or similar orchestration systems
  • Write robust, maintainable code in Python, following best practices and coding standards
  • Design and implement solutions using Kubernetes, ensuring high availability and scalability
  • Gather product data requirements and implement solutions to ingest, process, and serve that data to applications at scale
  • Collaborate closely with Data Science and Engineering teams to build production-ready applications, optimizing for performance and scale
  • Cultivate data from a wide range of sources for use by our data scientists and maintain documentation for data
  • Design a modern data stack, with a keen focus on providing a platform for data scientists and ML engineers to develop production ready models and pipelines
  • Work across Data Science and Engineering teams to ensure effective collaboration and communication
  • Actively participate in code reviews, coaching, and mentoring within cross-functional teams
  • Enhance the developer experience through improved tooling and reduced toil
  • Stay informed of industry advancements and advocate for the adoption of new technologies and best practices

Preferred Qualifications

  • Preference for experience with Databricks or Spark
  • Familiarity with modern data stack design and strong opinions on data lifecycle management, testing, and governance

Benefits

  • Comprehensive health insurance plan
  • Retirement savings plan (401k) with company match
  • Remote working environment

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