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

As a Senior Analytics Engineer at Lob, you'll develop data pipelines, build data models, and collaborate with various teams to enable data-driven decisions. You'll also champion data governance and mentor fellow engineers, ensuring best practices in analytics engineering.

Join Instacart as a Senior Data Engineer in Finance, where you'll build and maintain critical data pipelines for financial reporting. You'll work with SQL and Python, collaborate with various teams, and have significant ownership over processes while ensuring high-quality solutions are delivered swiftly.

As Director of Data Science and AI, you will lead a diverse team of Data Scientists, Machine Learning Engineers, and Data Analysts. Your role involves finding AI opportunities, overseeing the design and deployment of ML solutions, and collaborating with product and engineering leaders. You will guide your team towards project objectives and contribute strategically to the company's goals.

As a Staff Machine Learning Engineer for Conversational AI at Square, you will lead machine learning projects, focusing on creating intelligent solutions across products. Responsibilities include collaborating with stakeholders, driving end-to-end ML projects, mentoring team members, and ensuring engineering quality.

As a Knowledge Graph/Data Engineering Manager, you'll lead a team to solve complex business issues related to cybersecurity, privacy, and data management. This role focuses on developing data governance strategies, managing stakeholder relationships, and implementing controls to protect client data. You'll also coach team members and drive innovation within the firm.

The Data Center Selection team member will define regional vendor strategies, manage end-to-end deals involving data center vendors, and work with multiple stakeholders to support Cloudflare's infrastructure growth while maintaining vendor relationships and overseeing budgetary concerns.

The Senior Machine Learning Modeler will develop scalable solutions for detecting and preventing financial crimes by leveraging machine learning. Responsibilities include building machine learning solutions, collaborating with stakeholders, producing regulatory documents, and identifying future needs. The role requires experience in software engineering and machine learning, with an emphasis on continuous learning and improving team culture.