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

You will build and maintain infrastructure for ML engineers, tackle complex architecture challenges, and lead projects from design to launch.

Lead the data engineering team at Atlassian, architect solutions, build scalable data pipelines, and maintain data quality for impactful business decisions.

As a Big Data DevOps Lead, you will oversee Big Data infrastructure, coordinate initiatives, ensure reliability, and support operational tasks.

As a Senior Applied Scientist, you will build machine learning models, mentor teams, and optimize business processes across various teams at Coinbase.

The Senior Machine Learning & Computer Vision Engineer role involves developing computer vision models, researching AI methods, working with large datasets, and implementing MLOps best practices to enhance Dandy's 3D dental platform.

Develop and improve AI systems for patient and physician products, mentor team members, and conduct evaluations for ML features.

The Senior Data Engineer will build and deploy data pipelines, develop warehouse architectures, and design analytics solutions for the team.

The Machine Learning Architect will design and implement ML solutions on cloud platforms, working directly with customers to align strategies with business goals. Responsibilities include end-to-end project management, model deployment, and maintaining strong customer relationships.

The role involves building ML systems, improving models across product surfaces, and leveraging data for personalization and user engagement.

Lead the design and implementation of scalable backend architectures, build and optimize data pipelines, and mentor engineering teams.

The role involves assisting instructors and supporting students in their learning journey in data analytics boot camps, including providing feedback and tutoring.