Top Data Engineer Jobs in San Francisco, CA
As a Senior Software Engineer on the ML Platform team at Upstart, you will build and maintain software applications enabling machine learning models, develop infrastructure for model training, support automation, and collaborate with data engineers and scientists to enhance deployment processes.
The Solutions Architect at CDW specializes in Microsoft Data and AI solutions, engaging directly with clients to understand their business needs, creating technical solutions, and overseeing the delivery process. This role emphasizes presales support, document preparation, sales planning, partner relationship management, and the development of intellectual property
As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.
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As a Senior Data Engineer on the Finance team, you will manage financial data pipelines, ensuring accurate reporting and collaborating with cross-functional teams. You will design scalable solutions and have autonomy in driving key initiatives that impact the company's financial data vision.
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
As a Senior Data Engineer at Dandy, you will design and maintain data infrastructure, own end-to-end data pipelines, and collaborate with stakeholders to ensure reliable data solutions. You'll mentor junior engineers and continuously improve systems to enhance data-driven decision-making across the organization.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
The Senior Data Engineer will design and create infrastructure for real-time and batch analytics pipelines, facilitate best practices for data management, and collaborate across teams to optimize data solutions. Responsibilities include writing ETL processes, monitoring data pipelines, and enhancing data discovery to improve overall platform quality.
As a Staff Data Analyst at Aurora, you will work with engineering teams to enhance the development of the Aurora Driver by automating, monitoring, and analyzing processes. Your role includes designing metrics and dashboards, collaborating on data analytics projects, and providing data-driven insights to support decision-making.
The Senior Data Engineer will work on building and maintaining scalable ETL pipelines, design automation frameworks, engage in data pipeline development, and mentor junior members. The role focuses on leveraging advanced machine learning to optimize data utilization and capacity management for Salesforce's infrastructure.
The Data Engineer will develop, automate, and maintain scalable ETL pipelines and data frameworks. This role involves end-to-end delivery responsibilities, including performance tuning and monitoring applications, while collaborating with global teams and addressing production issues.
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