Data Engineer Jobs in San Jose, CA

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.

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

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.

The role involves building scalable data processing systems and maintaining data pipelines using big data technologies, while collaborating with other teams and managing projects.

As a Senior Engineer, you will design and build scalable data solutions, manage data pipelines, and mentor other engineers, ensuring high-quality data analytics for the organization.

Design and develop distributed system components and data infrastructures for AI/ML applications, ensuring scalability and performance while collaborating across teams.

Design and manage data pipelines, develop core datasets for search performance metrics, collaborate with teams, and lead data architecture decisions.

As a Data Infrastructure Engineer, you'll develop solutions for massive data orchestration, support ML deployment, and lead technical directions for the team.

The role focuses on improving Ray Data's performance, ensuring scaling of data pipelines, building data solutions for AI workloads, and enhancing fault tolerance.

As a Staff/Principal Data Platform & Analytics Engineer, you'll design cloud platforms, enhance data architecture, and lead analytics solutions for fleet reliability and site utilization.

As a Sr. Staff Software Engineer, you will design and run Databricks' Data Intelligence Platform, develop tooling for large-scale systems, and lead architecture efforts while mentoring engineers.

Design and build data infrastructure and data pipelines, focusing on big data processing, modeling, and automation to support engineering teams at NextSense.

The Staff Software Engineer - Vehicle Data Management will work on scalable data frameworks, APIs, and optimize systems using cloud technologies while collaborating across teams.

The Senior Software Engineer will manage data lifecycles, design foundational datasets, ensure data quality, and collaborate across teams to enhance data transparency and governance.

Join our team to enhance the next generation of automotive software by developing solutions for data processing and machine learning in the self-driving domain.

The role involves building a scalable data search platform for AD/ADAS, requiring collaboration with ML and engineering teams on data-driven projects and cloud infrastructure.

Build and automate infrastructure for large-scale data processing, optimize distributed loading for model training, and manage datasets for model training.

The role involves designing and building resilient data processing infrastructure, optimizing systems for large-scale data operations, and collaborating with researchers on technical requirements.

Design and build secure, scalable APIs and data systems for clinical platforms. Ensure data integrity and collaborate with cross-functional teams.