Data Engineer Jobs in San Jose, CA

Join the Next-gen Firewall dataplane team to design and develop advanced networking software for next-generation firewalls, ensuring security and performance across multiple environments.

The Big Data Developer (Spark) will be responsible for Spark and Scala development, Hadoop performance tuning, and SQL coding. Requires extensive experience in data processing and performance optimization.

The Big Data Engineer will work with Java, Spark, and Hadoop to design and implement large-scale data processing systems, focusing on distributed systems and machine learning algorithms.

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.

Design and optimize large-scale data systems for risk management. Collaborate with teams to transform business needs into data solutions. Ensure data pipeline efficiency.

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

As a Software Engineer on Glean's Data Foundations team, you'll build and scale data ingestion connectors, transforming unstructured content into structured data while ensuring system reliability and security throughout the data processing pipeline.

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

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.

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.

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

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

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.

Seeking a Data Scientist to leverage data analysis and machine learning for autonomous driving challenges, utilizing large datasets, collaborating with cross-functional teams, and optimizing algorithms.

Lead the architecture, design, and implementation of a high-performance data processing engine focused on large-scale data processing.

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

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.

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

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

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.

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

Design and develop scalable software for Prisma Access. Collaborate across teams, optimize systems for cloud operation, and mentor new members.