Data Engineer: Build Scalable ELT Pipelines & AI Data (SF)

Chase Center; San Francisco, Northern (CA, KY); Hybrid; USD 144,000 - 153,000; Full time

Benefits offered by this job

Comprehensive Medical, Dental and Vis​

Employer 401K match

Vacation, Summer Half-Day Fridays anda

Job summary

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

You will implement data governance, quality checks, monitoring, and stay current with AI technologies, including generative AI data products.

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

Skills

SQL

Python

Airflow

Data modeling

Data governance

Data quality

Communication

BigQuery

Education

Bachelor's degree in Computer Science/Data Science

Tools

dbt

Google Cloud Platform

Job description

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

You will implement data governance, quality checks, monitoring, and stay current with AI technologies, including generative AI data products.