Senior Data Engineer
2 weeks ago
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
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