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

Lead the evolution of SimplePractice's data stack, building scalable systems for analytics, reporting, and product insights in a fast-paced environment.

Lead a team to enhance systematic trading strategies, conduct research, improve algorithmic execution quality, and manage relationships with brokers.

The Analytics Engineer - Finance will collaborate to design data pipelines and internal tools, manage data integrity, provide analytics support, and empower team members with user training.

The AI engineer will develop and implement AI models, collaborate with teams, deploy applications, and ensure system performance and scalability.

The role involves owning an LLM safety domain, generating synthetic data, training LLMs, conducting benchmarking, and developing techniques for safer models. Co-author research papers with the team.

Lead the development and validation of analytical pipelines and statistical models, automate processes, mentor peers, and ensure compliance for clinical reporting.

As a Senior Data Engineer, you will design and build data products, establish best practices, and lead technical initiatives in data architecture and workflows within the single-family rental industry.

Lead design and implementation of scalable data infrastructure, build reliable data pipelines, collaborate cross-functionally, and influence data architecture to support analytics and operations.

The IBM TM1 Developer will manage the SDLC for Finance applications, focusing on TM1 and migrating from Essbase, while collaborating with global teams.

The Data Architect will design data architecture, establish standards, optimize performance, and collaborate with engineering teams to enable AI/ML and analytics at scale across various platforms.