Data Engineer - ELT/ETL & Gen AI Pipelines (Onsite SF)

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

Benefits offered by this job

Medical, Dental, Vision

401K match

Vacation & PTO

Warriors game tickets & perks

Job summary

Golden State Warriors seeks an experienced Data Engineer to join the Business Strategy and Analytics team in San Francisco, onsite. You will build scalable data pipelines, work with data scientists and analysts, and help design efficient data models to empower strategic decision making.

Reporting to the Manager, Data Engineering, you will implement data governance, QA checks, and monitoring, while applying generative AI data products to enhance organizational efficiency.

Qualifications

• Bachelor's degree in CS/Data Science or equivalent experience.
• 4+ years on a data team.
• Experience with cloud data environments (GCP) and BigQuery.
• Strong SQL and Python; experience with ELT/ETL and Airflow.
• Excellent communication and stakeholder engagement.

Responsibilities

• Build scalable ELT/ETL data pipelines from diverse sources.
• Collaborate with data scientists and analysts to design data models.
• Optimize pipelines, queries, and database structures for performance and cost.
• Implement data quality checks, governance and compliance.
• Develop monitoring and proactive alerts for data pipelines.
• Document processes and best practices; guide data engineering standards.
• Stay updated on AI tech; deliver scalable generative AI data products.
• Other duties as assigned.

Skills

SQL

Python

Airflow

ELT/ETL pipelines

Data modeling

Data governance

Cloud experience

Communication

Cross-functional collaboration

BigQuery

Education

Bachelor's degree in Computer Science / Data Science

Tools

BigQuery

GCP

CI/CD

Job description

Golden State Warriors seeks an experienced Data Engineer to join the Business Strategy and Analytics team in San Francisco, onsite. You will build scalable data pipelines, work with data scientists and analysts, and help design efficient data models to empower strategic decision making.

Reporting to the Manager, Data Engineering, you will implement data governance, QA checks, and monitoring, while applying generative AI data products to enhance organizational efficiency.