Data Engineer Jobs in Fremont, CA

Design, develop, and maintain AI/ML platform infrastructure ensuring scalability and reliability. Collaborate across teams, drive technical direction, and own components.

As an Engineer II, you will design and build scalable components for a Data Lakehouse, lead architecture sessions, innovate with new tools, and ensure system quality and performance while collaborating across teams.

The Staff Engineer will design and build scalable Data Lakehouse components, lead architecture sessions, innovate with open-source tools, and mentor other engineers.

Design and develop data visualization tools for AI performance, collaborate with engineers, define visualization standards, and drive user experience innovation.

The Senior Software Engineer will scale open-source data infrastructure, handle data lifecycle tasks, and support internal and external products.

The Senior Data Engineer will develop and manage data infrastructure and pipelines, collaborating with the ML team to support analytics and machine learning applications.

Transform raw data into trusted datasets; build and optimize data pipelines; integrate customer data; ensure data quality and reliability.

Design and develop core data infrastructure for AI platform, focusing on scalable systems, database architecture, and high-throughput data management, enabling efficient data streaming for model training.

As a Senior Staff Data Engineer, you'll design and develop scalable data platforms, mentor engineers, and ensure compliance while enhancing the developer experience for data scientists and ML engineers.

Design and implement evaluation pipelines for AI models, focusing on user feedback integration and performance optimization in consumer products.

Design and develop data solutions, optimize ETL/ELT pipelines, integrate ML models, collaborate with engineers, and operationalize analytics for semiconductor R&D and operations.

As a Data Engineer, you will design and optimize data models, ETL pipelines, and analytics workflows to support data-driven decision-making for business stakeholders.

The Data Operations Engineer will optimize and maintain data labeling workflows, automate tasks, and ensure quality in data annotation processes.

The role involves designing and implementing data acquisition and processing pipelines, improving data quality, and enhancing data pipeline infrastructure in robotics at Google Deepmind.

The role involves designing and implementing data ingestion pipelines, developing components for data transformation, improving platform observability, and collaborating with data consumers.

The Senior Software Engineer will design and maintain systems for efficient data transfer to facilitate NVIDIA's AI workflows, focusing on distributed systems and protocols.

Develop and implement features in VLM data infrastructure, collaborate with ML teams to address issues in data processing, and design scalable solutions for model improvement.

The Staff Data Engineer will design scalable data solutions, lead development of a Unified Customer Profile, and mentor team members, influencing data strategies.

Design and implement data engineering solutions, build data pipelines, and partner with teams to enhance data-driven initiatives within a modernized data ecosystem.

As a Software Engineer on the Data Platform team, you will design, build, and optimize distributed systems for high-throughput data processing, collaborating with diverse teams to enhance data workflows.

As a Forward Deployed Engineer, you will design scalable data pipelines, optimize code for data processing, and collaborate with AI teams to meet their data needs.

The Senior Data Analytics Engineer will support data analytics projects by creating dashboards, performing trend analysis, and designing data pipelines.