Data Engineer Jobs in Sunnyvale, CA

Develop high-performance components using Golang for the Litmus Data Platform, focusing on streaming data integration and system resilience.

The Lead Data Engineer will develop and manage B2B data pipelines and infrastructure, ensuring data quality and collaboration with cross-functional teams for marketing analytics.

Design and operate distributed data systems for large-scale data ingestion, processing, and transformation. Collaborate with ML researchers for data preparation and ensure data quality and scalability.

The Senior Software Engineer will develop data processing pipelines, ML infrastructure, and scalable applications for a hybrid work marketplace, requiring expertise in big data technologies.

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

The Data Engineer will design and implement data warehouse architecture, build data systems, and support both real-time and batch processing for business insights.

Lead Glean's engineering team in building and scaling enterprise data management systems, collaborating on product initiatives and delivering robust solutions.

As a Senior Software Engineer, you will design and implement data infrastructure for creating and managing multimodal datasets to enhance AI safety systems.

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.

The Senior Data Engineer will create data pipelines, maintain data architecture, collaborate with teams, and analyze data integration for payment systems.

The Sr. Data Engineer will design and implement data platforms, develop data pipelines using Python and SQL, and ensure system reliability and performance.

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

Develop and maintain data visualization components for Visa's component library, ensuring accessibility and user satisfaction, while collaborating with designers and engineers to enhance data experiences.

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

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

Lead the design and development of scalable data acquisition systems, architect core components, and mentor engineers while collaborating across teams to fulfill data integration needs.

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

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 building data strategies, collaborating on model evolution, and designing data storage systems to enhance foundation model training for autonomous driving.

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.

The role involves developing labeling tools for 3D annotations, collaborating with teams to enhance data processes, and improving label quality with ML automation.