Data Engineer (Wizards)

Monumental Sports & Entertainment•Washington, DC

4d•$130,000 - $150,000

About The Position

Monumental Sports & Entertainment (MSE) is a major integrated sports and entertainment company that owns and operates several professional sports teams and manages multiple venues. MSE is also expanding its media enterprises, including a regional sports network and digital platforms. The company is committed to providing first-class customer service, championing community engagement, building exceptional teams, making data-driven decisions, fostering innovation, and ensuring a fun work environment. The Data Engineer will be responsible for creating and maintaining data infrastructure in a new technology stack, working with various types of data including basketball statistics, qualitative scouting reports, and health/performance data. This role will collaborate with researchers and data scientists to build clean datasets for web and mobile applications, supporting teams like the Washington Wizards.

Requirements

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.

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.