Data Engineer

About the Position

The Golden State Warriors are looking for an experienced Data Engineer to join the growing Business Strategy and Analytics team. In this role, you will help us achieve our mission of becoming a global leader in experiences and entertainment by working collaboratively with a team of data engineers, data scientists, and analysts. This position reports to the Senior Director, Business Strategy and Analytics.

Come share your expertise while learning more about this growing sports and entertainment organization that values your passion and initiative!

This is a full-time position based onsite in San Francisco, CA.

Key Responsibilities

• Build scalable and efficient data pipelines to extract, load, and transform (ELT/ETL) data from various sources

• Work closely with data scientists, engineers, and analysts to design optimal data models and schema structures for efficient data storage and retrieval in BigQuery

• Optimize data pipelines, queries, and database structures for improved performance, throughput, and cost efficiency

• Implement data quality checks, validation processes, and data governance policies to ensure data accuracy, integrity, and compliance with industry standards and regulations

• Develop monitoring systems and proactive alerts to identify and resolve data pipeline issues, performance bottlenecks, and system failures

• Collaborate with cross-functional teams to understand data requirements, provide technical guidance, and document data engineering processes, standards, and best practices

• Maintain a deep understanding of emerging data and AI technologies, develop, and deliver scalable generative AI data products and pipelines that drive organizational efficiency

• Other duties as assigned

Required Experience & Skills

• Bachelor's degree in Computer Science/Data Science, or equivalent work experience

• Minimum 4 years working on a data team

• Experience managing and working with data in a cloud environment

• Strong proficiency in SQL and at least one programming language (e.g., Python)

• Experience building and maintaining complex ELT/ETL data pipelines, using orchestration tools (e.g., Airflow)

• Knowledge of data modeling concepts and experience in designing efficient data models and schemas

• Familiarity with data governance, data quality, and compliance practices

• Excellent written and verbal communication; strong presentation skills with the ability to influence technical and non-technical partners