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Data Engineer

Pay
$144,000–153,000/year — pay source
Compensation $144,000 - $153,000 Per Year + Bonus Comprehensive Medical, Dental and Vision benefits for employees and dependents
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
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-time
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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

What you’ll bring

All qualifications

Preferred experience

  • Familiarity with GCP (Google Cloud Platform) data solutions and services
  • Familiarity integrating data with generative AI tools to support conversational analytics
Qualification wording
Familiarity with GCP (Google Cloud Platform) data solutions and services
Familiarity integrating data with generative AI tools to support conversational analytics
Education & alternatives
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
Apply at Golden State

Posting record

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Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 4, 2026
Reposted
once since Aug 22, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

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.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 5 and day 54.

From 10,703 similar postings that came down. Coming down is not always a hire.

Golden State is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

  • 100% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • BigQuery
  • dbt
  • GCP
  • Airflow
Where the posting names them
- 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

Your next step

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Job description

View original posting ↗

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

Please refer to our California Privacy Notice for more information about how we process your personal information, and your data protection rights.

Source details

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Pay
Compensation $144,000 - $153,000 Per Year + Bonus Comprehensive Medical, Dental and Vision benefits for employees and dependents
Location & working pattern

San Francisco, CA

Working pattern and location restrictions need checking in the full posting.

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