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# Data Engineer

- **Company:** Golden, LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $144,000.0 - $153,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, BigQuery, Cloud Computing, Code Review, Continuous Integration, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Database Storage Structures, Document-Oriented Databases, Monitoring of Systems, Python (Programming Language), SQL Databases, Workflow Management Systems, Data Storage Management, Google Cloud, Information Technology, Software Version Control, Data Pipelines, Programming Languages
- **Published:** November 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e808d3078fb93a07

## About the Role

* 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

## Description

* 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