Data Engineer Jobs in San Jose, CA

The Sr. Distinguished Data Engineer will lead in developing innovative data engineering solutions, promote engineering excellence, mentor talent, and implement complex data analytics frameworks within Capital One.

The Staff ML Data Engineer leads data engineering for AI systems, building scalable data pipelines, ensuring quality, and mentoring engineers to enhance data architecture for robust machine learning projects.

The Founding Data Engineer will design and build OpenArt's core data platform, ensuring data reliability, consistency, and scalability to support leadership and product metrics.

As a Growth Data Engineer, you will build and manage marketing data and attribution systems, ensuring reliable data flow and accurate measurement of acquisition efforts. The role involves collaboration across product, marketing, and data teams with a focus on optimizing campaign performance.

The posting contains company and benefits information but no role-specific responsibilities. The title indicates a Data Engineer supporting digital marketing, likely focusing on data pipelines, analytics, and collaboration with marketing and engineering teams.

Drive yield improvement and process optimization for advanced packaging by building scalable data pipelines, integrating ATE/DFT/fab data, performing statistical and ML-based yield analytics, enabling self-serve analytics, and delivering reports and recommendations across cross-functional teams and external partners.

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 Senior Data Engineer, you'll design scalable data models, manage cloud pipelines using Google Cloud services, and optimize data architecture while collaborating with cross-functional teams.

As a Software Engineer III at GlossGenius, you will lead data engineering efforts, designing and implementing data models and pipelines while mentoring engineers and shaping the data platform's vision.

As a Senior Staff Engineer, Data, you'll lead the design and implementation of FloQast's core data platform, ensuring scalability and reliability. You'll define standards for data ingestion and governance while collaborating with multiple teams and mentoring engineers.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

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 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.

Lead the design and development of scalable data acquisition systems, mentor engineers, and integrate diverse internal and external data sources. Architect platform components for high-volume data processing with a focus on reliability and governance.

Design and implement data systems, manage projects, ensure data quality, mentor junior engineers, and collaborate with stakeholders.

As a Data & Integration Engineer, you'll design and build integrations for ERP and CRM systems, ensuring reliable data flows and collaboration with cross-functional teams.

Lead the design and optimization of data infrastructure, focusing on scalability. Requires expertise in GCP, ETL/ELT processes, and collaboration across teams.

The Data Infrastructure Engineer will analyze large datasets for edge cases in autonomous driving, collaborating with Machine Learning Engineers to improve safety and comfort.

Lead the design and implementation of complex data systems and architectures, ensuring data quality and mentoring junior engineers. Develop and maintain data pipelines, optimize data processes, and collaborate with cross-functional teams to meet business needs.

The Software Principal Engineer will develop software solutions for a Data Protection storage appliance, debug complex issues, and collaborate in an agile team, impacting customer business goals.

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.