Sports Data Engineer: Build Scalable Data Pipelines

Washington Wizards; Washington (District of Columbia); On-site; USD 130,000 - 150,000; Full time

Benefits offered by this job

Health benefits

Job summary

Monumental Sports & Entertainment is seeking a Data Engineer to build and maintain a greenfield data stack using basketball statistics and health data. You will collaborate with researchers, coaches, and analysts to create clean datasets for web and mobile applications.

Responsibilities include creating pipelines with Prefect, optimizing storage, implementing data validation, and applying medallion architecture.

Qualifications

• 3+ years of professional software development experience.
• Advanced knowledge of Python and SQL.
• Experience with data engineering systems such as Prefect and dbt.
• Familiarity with Rails, Django, Next.js, or similar frameworks.
• Commitment to best practices: clean code, tests, CI, and documentation.
• Ability to prioritize tasks and manage time.
• Experience with cloud services (AWS, GCP, Azure).
• Experience handling large datasets and Agile work style.

Responsibilities

• Create and maintain data pipelines to ingest and organize data.
• Optimize pipelines and storage for large datasets.
• Build data validation procedures to ensure data quality.
• Implement medallion architectures to organize data and lineage.
• Collaborate with cross‑functional teams to implement feedback.
• Stay current with emerging tech like generative AI and apply it appropriately.
• Other duties as assigned.

Job description

Monumental Sports & Entertainment is seeking a Data Engineer to build and maintain a greenfield data stack using basketball statistics and health data. You will collaborate with researchers, coaches, and analysts to create clean datasets for web and mobile applications.

Responsibilities include creating pipelines with Prefect, optimizing storage, implementing data validation, and applying medallion architecture.