Senior Data Engineer

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. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia. 

Position Summary: 

We are seeking a highly skilled and experienced Data Engineer to join our dynamic and fast-paced team. As a Data Engineer at SumerSports, you will be at the forefront of designing and implementing state-of-the-art data-driven solutions.

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