Position Overview:The Data Engineer is responsible for creating and maintaining data infrastructure in a greenfield stack. This role will work with basketball statistical data from the NBA and other leagues, basketball qualitative data (e.g. scouting reports), and health and performance data, researchers and data scientists to build datasets that are clean and can be analyzed and visualized in web and mobile applications.
Do you have a passion for sports and building scalable data solutions and redefining sophisticated information into meaningful insights?! We would love to hear from you!
Responsibilities:- Create and maintain data pipelines to ingest, validate, and organize critical data using orchestration tools (e.g. Prefect).
- Optimize pipelines and data storage to handle large datasets.
- Build thorough data validation procedures to ensure data is of the highest quality.
- Implement medallion architectures to organize our data structure and provide data lineage.
- Work with key cross-department team members (front office executives, coaches, scouts, salary cap strategists, medical/performance directors, etc.) to build products, implement feedback, and efficiently fix bugs.
- Keep up to date with emerging technologies like generative AI and integrate them into development workflows without using them as a crutch.
- Other duties as assigned.
Minimum Qualifications:- 3+ years of professional software development experience.
- Advanced knowledge of Python and SQL.
- Experience using data engineering systems such as Prefect, dbt, etc.
- Familiarity with open-source backend frameworks such as Rails, Django, Next.js, etc.
- Passion for "building things the right way" using best practices (e.g., clean maintainable code; implementing unit tests, continuous integration, Git, detailed documentation, etc.)
- Ability to effectively prioritize tasks and manage time efficiently.
- Demonstrates high integrity; diligence, and ability to handle confidential information.
- Experience with AWS, GCP, Microsoft Azure, or another cloud service.
- Experience working with large datasets.
- Familiarity with agile development frameworks.
- Flexibility to work evenings, weekends, and holidays as needed.
Pay Rate: $130k - $150k USD.
Benefit Eligibility: This role is eligible to participate in health and welfare benefits.
