Top Data Engineer Jobs in San Francisco, CA
Looking for a Data Engineer to influence the architecture and tools that power data analytics and reporting capabilities. Responsibilities include owning data workflows, ensuring data quality, developing data models, and establishing data engineering best practices. Requires 5+ years of hands-on data engineering experience in a SaaS environment with expertise in SQL, dbt, Python, and cloud services like AWS or GCP.
Seeking a skilled and forward-thinking Cloud Database Engineer with expertise in MySQL, AWS Aurora, DocumentDB, and multi-region cloud architectures to optimize, secure, and scale databases across multiple regions at Postman in the Bay Area. Responsibilities include designing multi-region database architecture, optimizing database performance, implementing security measures, and collaborating with cross-functional teams.
Seeking a VP, Data Science & ML to lead modeling and AI/ML initiatives across the enterprise. Responsibilities include setting strategic direction, managing existing models, collaborating on machine learning platform deployment, and leading a team.
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As a Senior Data Engineer at Cruise, you will architect & automate end-to-end data processing and management on Google Cloud Platform. Collaborate with XFN partners, build data pipelines, and mentor junior team members. Requirements include experience with Big Data Systems, Data Lakes/Warehouse/Lakehouse, ETL/ELT pipelines, Python/Java/C, Data Modeling, and SQL programming.
The Senior Data Engineer will expand and optimize data pipeline architecture, build data pipelines for the machine learning platform, and develop integration architecture for various data sources, while collaborating with cross-functional teams.
The Developer Architecture Analyst role at Imply involves gathering insights from Apache Druid users, maintaining qualification criteria for real-time analytics databases, deploying and evaluating technologies, and shaping marketing content. You'll also influence product roadmaps based on data collected and provide educational materials for developers.
As a Staff Data Engineer, you will lead the evolution of the CS Data Platform, building and maintaining data pipelines and APIs, collaborating with cross-functional teams to improve data handling capabilities for AI-driven customer support solutions.
The Data Annotator will label and curate data for training AI models, focusing on multimodal data (text and images), generating educational content, and performing quality assurance on annotations. The role is flexible and allows for task-based work to impact AI developments.
As a Staff/Senior Staff Data Engineer at Valo Health, you will lead the development of complex data transformation initiatives, integrating real-world data into analysis-ready products, while collaborating with scientists and engineers. Responsibilities include building data pipelines, maintaining data quality, and providing technical leadership within the data engineering team.
As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.
The Principal Data Privacy Consultant will assess compliance with data privacy regulations, develop privacy policies and documentation, conduct gap and maturity assessments, and provide advisory services to clients. This role involves mentoring colleagues and contributing to the growth of the data privacy consulting practice.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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