Data Engineer Jobs in San Jose, CA

As a Data Engineer, you will develop data models and optimize data flow for business intelligence and analytics, applying Kimball modeling principles and utilizing various data formats and databases to empower decision-making processes.

As a Senior Software Engineer focusing on data, you will build reliable data infrastructure, ensure data integrity, collaborate across teams, and scale data systems to support high-impact decisions and products.

The Staff Software Engineer will lead technical direction on data architecture, optimize data processes, and mentor teams within GM Commerce to enhance system performance and scalability.

The Senior Engineer will develop applications for data management, implement data platforms, and ensure data flow and security compliance.

Collaborate to design, deploy and automate secure data infrastructure. Ensure data quality and compliance while mentoring team members. Drive innovative data solutions.

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

Lead the development of AI-driven analytics applications, collaborate on data insights, mentor juniors, and ensure model performance in a fast-paced environment.

As a Senior Data Engineer, you will build scalable systems for financial operations, develop event-driven pipelines, and ensure data integrity and quality.

The Data Engineer will design data ingestion pipelines, integrate datasets, analyze time-series data, and collaborate with software engineers to enhance data processes.

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

As an AI Data Engineer Intern, you'll collaborate with engineers to develop data pipelines, support AI-based marketing tools, and analyze data to enhance marketing outcomes.

The Senior Data Center Electrical Engineer leads the design and delivery of electrical infrastructure for data centers, ensuring performance and scalability while collaborating with teams and performing technical calculations.

The Senior Data Center Mechanical Engineer will design and implement mechanical solutions for data centers, ensuring efficiency and scalability across projects. Responsibilities include managing the design process, collaborating with internal and external teams, and evaluating emerging technologies for cooling strategies.

As a Data Engineer at Sprinter Health, you will work on AI initiatives, leveraging your full-stack or backend experience in a startup environment to innovate and enhance healthcare access.

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.

Designing, deploying, and managing data center networks for AI infrastructure. Collaborating across teams to troubleshoot and ensure operational excellence.

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.

The Data Engineer will build scalable systems supporting ML models, managing data schemas, transformations, and pipelines for enhanced application performance.

As a Data Engineer at Waymo, you'll design and implement data models and data warehousing solutions, ensuring data quality and collaboration with stakeholders.

The Staff Data Engineer will manage the end-to-end data lifecycle, develop data pipelines, ensure compliance, and mentor team members in a hybrid role focused on early cancer detection.

Lead engineering excellence and innovation in cybersecurity solutions, mentoring teams and guiding technical direction in Data Protection and Endpoint Security.

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 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.