Top Senior Data Engineer Jobs in San Francisco Bay Area, CA

The Senior BI Engineer will design and implement scalable business intelligence platforms, create aggregate datasets, and support analytics frameworks to facilitate data-driven decisions for WBD's streaming and digital products. You will work with a global team to provide business-ready data solutions and ensure effective data usage across various teams.

The Senior Data Engineer at Babylist will focus on enhancing data platforms, particularly in building ML pipelines. Responsibilities include developing robust systems, collaborating across teams, and driving data-driven decision-making to support product innovation.

Lead and contribute to advancing a modern data lakehouse, translate requirements into effective data models, develop in data technologies, manage project life cycle activities, mentor team members, and provide on-call support as needed.

In this role, you will develop an AI/ML strategy to enhance customer support at Canva, lead the creation of natural language systems, collaborate with engineering teams, and leverage machine learning capabilities across the organization.

The Sr Manager, Machine Learning Platform will lead the Model Engineering team at Disney, focusing on building a state-of-the-art ML runtime environment. Responsibilities include mentoring the team, providing technical direction, and partnering with stakeholders for scalable ML solutions while maintaining a culture of innovation and collaboration.

As a Senior Software Engineer on the ML Platform team, you'll build and maintain software applications for machine learning model deployment and process automation. The role includes developing tooling and infrastructure for research scientists, enabling rapid model experimentation, and ensuring automated, repeatable processes for model training and deployment.

Lead research projects in drug discovery, focusing on real-world data studies. Collaborate with interdisciplinary teams, design observational studies, implement project plans, and translate research into actionable insights using advanced computational methods. Manage complex projects and utilize technical skills to solve challenges while ensuring stakeholder engagement.