Golden State Logo

Golden State

Data Engineer

Posted Yesterday
In-Office
San Francisco, CA, USA
144K-153K Annually
Mid level
In-Office
San Francisco, CA, USA
144K-153K Annually
Mid level
Build and optimize scalable ELT/ETL pipelines, data models, schemas, and monitoring systems in BigQuery. Ensure data quality, governance, compliance, and pipeline reliability while collaborating with data scientists, analysts, engineers, and business partners. Develop generative AI data products and document engineering standards. The role requires cloud data experience, SQL, programming, orchestration tools, and strong communication skills.
The summary above was generated by AI

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 Senior Director, Business Strategy and Analytics. 

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.

Similar Jobs

9 Days Ago
Remote or Hybrid
USA
125K-159K Annually
Mid level
125K-159K Annually
Mid level
AdTech • Automotive • Big Data • Consumer Web
Administer and enhance Edmunds’ Databricks data platform and AWS infrastructure. Build and maintain ETL pipelines, infrastructure-as-code tooling using Terraform or CDK, and operational dashboards, alerts, and reports. Collaborate with business, engineering, analytics, security, and infrastructure teams to support data platform users and AI solutions. Evaluate new technologies, troubleshoot platform issues, and improve operational, cost, and security visibility.
Top Skills: SparkAWSAws CdkDatabricksInfrastructure As Code (Iac)PythonScalaSQLTerraform
10 Days Ago
Easy Apply
Hybrid
San Francisco, CA, USA
Easy Apply
50-50 Annually
Internship
50-50 Annually
Internship
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Build and maintain data pipelines and scalable cloud infrastructure supporting analytics and machine learning. Integrate internal and external data sources, ensure data integrity, contribute to analytical investigations, document findings, and apply data governance, security, and performance optimization practices while collaborating with senior engineers and cross-functional teams.
Top Skills: APIsAWSAzureCloud-Native DesignDistributed SystemsGCPGenerative AiLarge Language Models (Llms)MicroservicesPythonRelational DatabasesSQL
10 Days Ago
Remote or Hybrid
USA
120K-180K Annually
Senior level
120K-180K Annually
Senior level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Architects, deploys, and operates CrowdStrike’s data platform infrastructure and services. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and access controls, developing DBT data models, cataloging assets in OpenMetadata, writing Python automation, and mentoring engineers. The role requires cloud, container orchestration, SQL, data modeling, compliance, and AI technology expertise, along with eligibility for CJIS clearance.
Top Skills: AIApache AirflowApache SupersetAWSAzureCi/CdDbtDockerGCPIamKubernetesMachine Learning PipelinesOciOpenmetadataPythonSQLTerraform

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account