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

The Data Storytelling Lead at Square will analyze vast data sets to create compelling narratives for stakeholders, utilizing data to identify trends, measure PR impact, and collaborate across teams. The role requires strong analytical skills, experience in data-driven storytelling, and the ability to simplify complex analyses for various audiences.

As a Senior AI Engineer, you will design and maintain large-scale AI/ML pipelines, train and tune models, and develop evaluation frameworks for machine learning and large language models. Collaboration with a team of AI engineers is essential for optimizing network applications.

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, 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.

As a Data Architect Manager at PwC, you will leverage advanced technologies to design and implement data infrastructure and pipelines, ensuring compliance with governance and security policies. Your role involves mentoring team members, managing projects and client relationships, and developing cloud-based solutions. You will also lead data strategy engagements, assess new technologies, and optimize data storage solutions across various platforms.

The Senior Machine Learning Engineer will design and maintain systems for real-time fraud detection, collaborating with ML Modelers and Software Engineers. The role involves solving complex scalability issues and integrating new data sources to enhance fraud prevention efforts across the platform.

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.