Data Engineer — ETL/ELT, BigQuery (Onsite SF)

Golden State Warriors; San Francisco (CA); On-site; USD 144,000 - 153,000; Full time

Benefits offered by this job

Medical, Dental and Vision

401K match

Vacation and PTO

Warriors home tickets

Team store discount

Job summary

The Golden State Warriors are seeking an experienced Data Engineer to join the Business Strategy and Analytics team in San Francisco, onsite. You will build scalable data pipelines (ELT/ETL) and design data models for BigQuery, collaborating with data scientists, engineers, and analysts.

You will implement data quality, governance, monitoring, and develop scalable AI data products. Strong SQL, Python, Airflow, and cloud experience are required.

Qualifications

• 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.
• Ability to build positive working relationships with business partners and peers at all levels within the organization.
• Ability to balance multiple projects at once in a fast-paced work environment.
• Passion and curiosity about sports and entertainment.

Responsibilities

• Build scalable and efficient data pipelines to extract, load, and transform data from various sources.
• Design optimal data models and schema structures for BigQuery storage and retrieval.
• Optimize data pipelines, queries, and database structures for performance and cost efficiency.
• Implement data quality checks, governance, and compliance practices.
• Develop monitoring systems and proactive alerts for pipeline issues and bottlenecks.
• Collaborate with cross-functional teams and document data engineering processes and standards.
• Maintain understanding of emerging data and AI technologies and develop scalable generative AI data products.
• Other duties as assigned.

Skills

SQL

Python

Airflow

ELT/ETL pipelines

Data modeling

Data governance

Communication skills

Cross-functional collaboration

Cloud environment experience

Sports/entertainment passion

Education

Bachelor's degree in Computer Science/Data Science

Master's degree

Tools

BigQuery

dbt

GCP

Airflow

Job description

The Golden State Warriors are seeking an experienced Data Engineer to join the Business Strategy and Analytics team in San Francisco, onsite. You will build scalable data pipelines (ELT/ETL) and design data models for BigQuery, collaborating with data scientists, engineers, and analysts.

You will implement data quality, governance, monitoring, and develop scalable AI data products. Strong SQL, Python, Airflow, and cloud experience are required.