Pay
In line with similar jobs
$144K–$153K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
San Francisco, CA
Live, first seen by us 1 day agoCompensation $144,000 - $153,000 Per Year + Bonus Comprehensive Medical, Dental and Vision benefits for employees and dependentsRead the full posting
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
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Build scalable data pipelines that extract, load and transform data from many sources
Design data models and schemas in BigQuery with data scientists and analysts
Optimize pipelines, queries and database structures for speed and cost
Implement data quality checks, validation and governance policies
Build monitoring and alerts to catch and fix pipeline failures
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
Develop monitoring systems and proactive alerts to identify and resolve data pipeline issues
Familiarity with GCP (Google Cloud Platform) data solutions and services
Familiarity integrating data with generative AI tools to support conversational analytics
Required Experience & Skills - Bachelor's degree in Computer Science/Data Science, or equivalent work experience - Minimum 4 years working on a data team
Preferred Qualifications - Master’s degree - Track record of developing and supporting production analytical models using dbt
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In line with similar jobs
$144K–$153K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 1
Early. Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
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- 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)
- 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
- Master’s degree - Track record of developing and supporting production analytical models using dbt - Familiarity with GCP (Google Cloud Platform) data solutions and services
- 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
- 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
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
Required Experience & Skills
Preferred Qualifications
Compensation
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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Compensation $144,000 - $153,000 Per Year + Bonus Comprehensive Medical, Dental and Vision benefits for employees and dependents
San Francisco, CA
Working pattern and location restrictions need checking in the full posting.
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