Top Data Engineer Jobs in San Francisco, CA

The Senior Machine Learning Engineer will build automated pipelines for AI/ML models, collaborating with data scientists and engineers to deploy solutions. They will lead model deployment, enhance personalization, mentor team members, and conduct experiments to optimize algorithms, while designing reliable distributed systems and maintaining high-performance ETL processes.

The Senior Software Engineer will build systems and tools to enable data scientists in creating machine learning applications, improve frameworks for scalable pipeline development, collaborate with product owners, and mentor junior team members within the C3 AI Platform engineering team.

As a Senior Data Engineer at Trunk, you will build scalable data pipelines, design efficient data storage solutions, and optimize distributed applications. You will work closely with customers to understand their needs and integrate AI models for analytics. The role requires a strong understanding of distributed systems and experience in building data applications.

The Database Administrator will manage the database environment, create PostgreSQL database clusters, configure cloud database clusters on AWS Aurora, ensure database health and security, manage backups and disaster recovery, optimize SQL queries, and provide technical support across teams while maintaining best practices.

As a Director of Engineering in Machine Learning at Waymo, you will manage multiple teams, drive technical vision, and push the boundaries of deep learning to tackle complex autonomous driving challenges. Your focus will be on innovation in robotics while fostering collaboration across the organization.

As a Senior Data Engineer, you'll build and maintain data pipelines, databases, and report infrastructures crucial for operational metrics and analytics. You'll ensure data integrity and support analytics needs, empowering teams across the organization with timely and accurate data. Your expertise will help enhance reporting capabilities for both internal operations and clients.

As a Senior Product Analytics Engineer at Faire, you will lead the design and implementation of scalable data models and pipelines, supporting product launches and driving insights for small and medium businesses. Your role will involve collaboration with Data Scientists and Software Engineers to enhance data capabilities that directly impact product features and user satisfaction.

The Staff Analytics Engineer will lead data modeling and analytics projects, collaborate with technical and non-technical stakeholders, and develop scalable data models to enhance analytics for SMBs. Responsibilities include optimizing SQL queries, establishing coding standards, and driving data initiatives to support product development.

The Staff Software Engineer will lead the Core Data Infrastructure team, designing data capabilities for product launches while maintaining data quality and security standards. Responsibilities include optimizing operational processes, collaborating with cross-functional teams, and ensuring the strategic vision of the data infrastructure is realized.