Data Engineer
Software Engineering, Data Science · Full-time
USD 144k-153k / year
Posted on Nov 7, 2026
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 ResponsibilitiesBuild scalable and efficient data pipelines to extract, load, and transform (ELT/ETL) data from various sourcesWork closely with data scientists, engineers, and analysts to design optimal data models and schema structures for efficient data storage and retrieval in BigQueryOptimize data pipelines, queries, and database structures for improved performance, throughput, and cost efficiencyImplement data quality checks, validation processes, and data governance policies to ensure data accuracy, integrity, and compliance with industry standards and regulationsDevelop monitoring systems and proactive alerts to identify and resolve data pipeline issues, performance bottlenecks, and system failuresCollaborate with cross-functional teams to understand data requirements, provide technical guidance, and document data engineering processes, standards, and best practicesMaintain a deep understanding of emerging data and AI technologies, develop, and deliver scalable generative AI data products and pipelines that drive organizational efficiencyOther duties as assignedRequired Experience & SkillsBachelor's degree in Computer Science/Data Science, or equivalent work experienceMinimum 4 years working on a data teamExperience managing and working with data in a cloud environmentStrong 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 schemasFamiliarity with data governance, data quality, and compliance practicesExcellent written and verbal communication; strong presentation skills with the ability to influence technical and non-technical partnersAbility to build positive working relationships with business partners and peers at all levels within the organizationAbility to balance multiple projects at once in a fast-paced work environmentPassion and curiosity about sports and entertainmentPreferred QualificationsMaster’s degreeTrack record of developing and supporting production analytical models using dbtFamiliarity with GCP (Google Cloud Platform) data solutions and servicesPrior collaboration with Business Intelligence (BI) teamsComfortability utilizing software engineering best practices, including version control, code reviews, testing, and CI/CDFamiliarity integrating data with generative AI tools to support conversational analyticsCompensation$144,000 - $153,000 Per Year + BonusComprehensive Medical, Dental and Vision benefits for employees and dependentsEmployer 401K matchVacation, Summer Half-Day Fridays and a generous paid time off plan for pregnancy and parental leavesWarriors 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/employmentPlease refer to our California Privacy Notice for more information about how we process your personal information, and your data protection rights.