Data Engineer

Golden State • San Francisco, CA

8d • Onsite

About The Position

The Golden State Warriors are seeking an experienced Data Engineer to join the growing Business Strategy and Analytics team. The role supports the organization’s mission to become a global leader in experiences and entertainment, working collaboratively with data engineers, data scientists, and analysts. The position reports to the Manager, Data Engineering and is based onsite in San Francisco, California. It is a full-time position.

Requirements

• Bachelor’s degree in Computer Science or Data Science, or equivalent work experience.
• At least 4 years of experience 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, such as Python.
• Experience building and maintaining complex ELT/ETL data pipelines using orchestration tools such as Airflow.
• Knowledge of data modeling concepts and experience designing efficient data models and schemas.
• Familiarity with data governance, data quality, and compliance practices.
• Excellent written and verbal communication skills and strong presentation skills, including the ability to influence technical and non-technical partners.
• Ability to build positive working relationships with business partners and peers at all organizational levels.
• Ability to balance multiple projects in a fast-paced work environment.
• Passion and curiosity about sports and entertainment.

Nice To Haves

• Master’s degree.
• Track record of developing and supporting production analytical models using dbt.
• Familiarity with GCP (Google Cloud Platform) data solutions and services.
• Prior collaboration with Business Intelligence (BI) teams.
• Comfort using software engineering best practices, including version control, code reviews, testing, and CI/CD.
• Familiarity with integrating data with generative AI tools to support conversational analytics.

Responsibilities

• Build scalable, efficient ELT/ETL data pipelines that extract, load, and transform data from various sources.
• Collaborate with data scientists, engineers, and analysts to design data models and schema structures for efficient storage and retrieval in BigQuery.
• Optimize data pipelines, queries, and database structures to improve performance, throughput, and cost efficiency.
• Implement data quality checks, validation processes, and data governance policies to support data accuracy, integrity, and compliance with standards and regulations.
• Develop monitoring systems and proactive alerts to identify and resolve pipeline issues, performance bottlenecks, and system failures.
• Work with cross-functional teams to understand data requirements and provide technical guidance.
• Document data engineering processes, standards, and best practices.
• Keep up with emerging data and AI technologies and develop and deliver scalable generative AI data products and pipelines that drive organizational efficiency.
• Perform other duties as assigned.

Benefits

• Comprehensive medical, dental, and vision benefits for employees and dependents.
• Employer 401(k) match.
• Vacation and a generous paid time off plan.
• Summer half-day Fridays.
• Paid time off for pregnancy and parental leaves.
• Warriors home tickets.
• Team store discount.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level