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.

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 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.

As a Software Engineer 2 - Data Acquisition, you'll design and build data ingestion pipelines, ensuring quality and performance across multiple data domains while participating in code reviews and collaborating with data consumers.

As a Software Engineer, Data, you will develop scalable data infrastructure and pipelines using GCP, mentor junior engineers, and optimize data processes.

As a Senior Full-stack Software Engineer, you will develop web applications for test automation, optimize data processing pipelines, and collaborate with teams to deliver scalable data solutions.

The Principal Software Engineer will develop backend systems using Rust or Go, debug integrations, manage middleware components, and optimize data flows while following SDLC practices and collaborating with teams.

Lead design and implementation of a scalable observability and data platform: build high-performance ingestion, governance and policy systems, unified web APIs/UX, tiered storage, and automation for lifecycle and pipeline orchestration to support NVIDIA engineers at scale.

As a Staff Data Engineer, you will design and build large-scale data processing systems, ensuring data integrity and reliability while collaborating with cross-functional teams to influence architecture and technical roadmap.

The Lead Data Engineer will design, develop, and maintain ETL pipelines, ensuring effective data extraction, transformation, and loading from various sources, while collaborating with stakeholders and solving complex business issues.

Seeking an ETL Engineer to design and maintain ETL pipelines, troubleshoot issues, and contribute to the data engineering team, working with various data sources and ensuring compliance with financial regulations.

The Senior Data Engineer will build analytics-driven data platforms for EDA datacenters, transforming observability data into usable datasets for analysis and insights, collaborating with cross-functional teams, and ensuring data quality and scalability.