Top Data Engineer Jobs in San Francisco Bay Area, CA

The Data Center Selection Manager will lead the strategy and management of data center vendor relationships, oversee contract negotiations, and ensure effective collaboration across multiple teams to support the growth of Cloudflare's infrastructure.

As a Lead Data Engineer, you will design, develop, and support technical solutions in data engineering, analytics, and cloud technologies. Collaborate with Agile teams to implement robust cloud-based data management tools and drive innovative solutions that empower users and businesses.

The Senior Director of Technical Program Management will lead strategic initiatives in Capital One's Enterprise Data and Machine Learning division, overseeing complex technical projects, aligning teams, and ensuring successful delivery of data-driven solutions. The role emphasizes fostering innovation, enhancing data management practices, and developing the TPM discipline across the organization.

As a Senior Manager in Machine Learning Engineering, you will lead the design and implementation of machine learning applications, focusing on architectural design, model development, and ensuring performance. Collaborate with Agile teams to build optimized ML systems and data pipelines, utilizing best practices in machine learning and continuous deployment.

The Senior Director, Finance Advanced Analytics/AI will lead the Finance organization at ServiceNow by implementing AI-powered solutions to optimize financial processes and enhance strategic decision-making. Responsibilities include driving innovation, mentoring a team, ensuring data integrity, and aligning analytics strategies with business goals to support growth and efficiency.

The Staff Machine Learning Engineer will work with researchers and engineers to develop AI-powered solutions, focusing on Large Language Models (LLMs). Responsibilities include applying machine learning techniques to real-world problems, conducting LLM benchmarking, participating in data generation efforts, and collaborating with various teams to ensure high-quality software delivery. The role involves innovating new ideas and possibly publishing research findings.

The Data Engineer is responsible for designing, implementing, and maintaining the data infrastructure for business intelligence and analytics at Endpoint. This role involves building ETL/ELT pipelines, managing data warehouses, integrating various data sources, and ensuring data quality. The engineer will also collaborate with stakeholders to understand data needs and develop BI tools and dashboards for insights.

As a Senior Machine Learning Engineer at Samsara, you will lead ML initiatives, develop end-to-end applications, and collaborate with cross-functional teams. Your work will have a significant impact on improving the safety, efficiency, and sustainability of physical operations.

The Principal Data Engineer will lead the advancement of the Enterprise Data Platform, focusing on data ingestion, transformation, and quality. Responsibilities include designing robust architectures, implementing best practices, mentoring team members, and evaluating new tools. The candidate must have a strong technical background and a deep understanding of data engineering principles, enabling effective collaboration and strategic decision-making within a dynamic environment.

The Senior Principal Machine Learning Engineer will lead the integration of AI capabilities into Atlassian products, focusing on developing innovative machine learning models and extracting insights from vast datasets. This role involves collaboration across teams to ensure the intuitive implementation of AI features and the education of team members about AI potential.