Top Data Engineer Jobs in San Francisco Bay Area, CA
As a Senior Architect, you will provide guidance on DataBricks, design data flow and processing pipelines using modern tools like Spark, and ensure data management and integrity. You'll coach consultants, collaborate with data application owners, and contribute to best practices in a variety of sectors including Healthcare and Financial Services.
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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 Machine Learning Engineer at Snap Inc, you will create models that enhance user experience, evaluate technical trade-offs, perform code reviews for quality assurance, and build scalable products while prioritizing swift iteration.
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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 Engineer will design, implement, and maintain data infrastructure for business intelligence and analytics, focusing on ETL/ELT processes. Responsibilities include building data pipelines, optimizing workflows, ensuring data quality, and supporting BI tools, while working closely with cross-functional teams.
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.
As the Head of Data at Philo, you'll lead a team of Data Scientists, Data Engineers, and Data Analysts to enhance data-driven decision-making across the organization. You will collaborate with various departments to deliver insights from our extensive data pipeline and oversee the execution of data projects related to user engagement and content personalization.
The Staff Data Engineer at GRAIL will manage the data lifecycle from ingestion to analysis, ensuring data integrity and compliance in a regulated biotechnology environment. Responsibilities include developing ETL pipelines, collaborating with scientists and clinical teams, and maintaining data quality and documentation for research and regulatory purposes.
Top Companies in San Francisco Bay Area, CA Hiring Data Engineers
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