Senior Data Engineer
October 17
Description
• Senior Data Engineer • About SumerSports: SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. • Position Summary: We are seeking a highly skilled and experienced Data Engineer to join our dynamic and fast-paced team. • 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.
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. • Preference for experience with Databricks or Spark • Familiarity with modern data stack design and strong opinions on data lifecycle management, testing, and governance. • Effective communicator with the ability to advocate best data practices across the organization. • Passion for coaching and working in a team-oriented environment. • Commitment to improving developer experience and productivity. • Experience with distributed systems, microservices architecture, and cloud platforms (e.g., AWS, Azure, Google Cloud). • Excellent problem-solving skills and the ability to analyze and debug complex issues. • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
Benefits
• Comprehensive health insurance plan • Retirement savings plan (401k) with company match • Remote working environment
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