Data Engineer Jobs in San Jose, CA

The role involves facilitating hardware and platform specifications, provisioning hardware, troubleshooting issues, and collaborating with engineering teams to optimize processes. Candidates should have extensive experience in a hardware automation/build environment and knowledge of server and network configurations.

The Staff Data Center Operations Engineer will provision hardware, troubleshoot issues, collaborate with teams, and optimize processes in their role at Zscaler.

As a Senior Software Engineer on the Data Integrations and Transformations Platform, you'll design and maintain backend services, mentor engineers, and enhance data access for business-critical applications.

Design, implement, and maintain scalable data pipelines and analytical solutions, optimizing performance and ensuring data quality while collaborating with stakeholders.

The Configuration Data Engineer will develop tools and automate workflows for managing engineering data integrity and compliance while collaborating with teams across engineering and IT.

As a Senior Software Engineer, you will design and build components for the Data Operations Platform, improve internal frameworks, and ensure data quality and governance while collaborating with various teams for scalable solutions.

As a Staff Data Engineer, you'll architect and model data, create ETL pipelines, and standardize datasets for compliance teams. You'll guide best practices and lead data solutions while collaborating with various stakeholders.

The role involves designing and developing data applications, working with large data sets, and requires expertise with various data processing technologies. Candidates should have strong analytical skills and experience in prototyping software applications.

The Data Engineer will process raw data, develop predictive models, and conduct statistical analysis to support business decisions, collaborating with engineering teams and business partners.

The Data Engineer will gather and process large datasets, develop algorithms, conduct data analysis, and improve predictive models for business decisions.

The Data Engineer will gather and process data, analyze trends, support business decisions, and collaborate on predictive models while improving algorithms and efficiency.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

As a Data Engineer at Adobe, you will design and maintain data pipelines, analyze cloud usage data, and collaborate with data scientists to derive actionable insights.

As a Senior Data Engineer for Customer Operations, you will develop and maintain data models, pipelines, and visualizations to support decision-making within cross-functional teams and improve customer support experiences.

The Senior Data Engineer will design and maintain data solutions, build ETL pipelines, and create data models to support customer operations, driving data-driven decisions and optimizing data infrastructure.

The Finance Data Engineer focuses on building analytics products to provide financial insights, enhancing models and tools for data analytics, and optimizing architecture for financial data solutions.

As a Data Engineer II, you will build and maintain ETL pipelines, analyze requirements, and mentor junior colleagues while supporting customer implementations.

The Data Engineer will manage the full data stack, design database architecture, build ETL pipelines, create data integrations, and oversee reporting and data quality.

The CRM System Admin and Data Engineer role involves managing Dynamics 365, developing integrations, and supporting data warehousing and user adoption using Microsoft technologies.

The Data Engineer will support the development of autonomous driving technologies by creating algorithms, designing data pipelines, analyzing test data, and automating reports for decision-making.

Develop and optimize data processing infrastructure for robotic systems, enabling data access and visualization, supporting engineering teams with insights from logs.

The Lead Data Engineer will manage data architecture, develop data pipelines, and ensure data quality while collaborating with business analysts and data scientists to support marketing measurement tools and processes.

Design and implement teleoperation systems for robots, build data pipelines, and develop algorithms for efficient data collection to enhance robot capabilities.

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.

As a Senior Data Engineer, you will develop data pipelines, analyze raw data, build algorithms, and collaborate with data scientists to create a Quality Data platform for Operations.