Data Engineer
Golden State Warriors
San Francisco, CA · Posted November 2, 2026
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November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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Pay compared with the market
This listing does not state pay. Across 204 open data engineer listings that state pay, the middle half runs $112,000 to $160,000 and the median is $136,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
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 Manager, Data Engineering.
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
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
Preferred Qualifications
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
Comfortability utilizing software engineering best practices, including version control, code reviews, testing, and CI/CD
Familiarity integrating data with generative AI tools to support conversational analytics
Compensation
$144,000 - $153,000 Per Year + Bonus
Comprehensive Medical, Dental and Vision benefits for employees and dependents
Employer 401K match
Vacation, Summer Half-Day Fridays and a generous paid time off plan for pregnancy and parental leaves
Warriors home tickets, team store discount and more!
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Golden State is an equal opportunity employer.
We will ensure that qualified applicants with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
Want to learn more about who we are and what we value? Visit www.warriors.com/employment
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