Data Engineer Jobs in San Jose, CA

As a Distinguished Software Data Engineer, you will define technical strategies, mentor engineers, and optimize data platforms for AI readiness at Capital One.

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.

The Staff Data Platform Software Engineer will design, improve, and maintain the Veza Access Graph system, focusing on performance, scalability, and collaborating on product features to enhance identity and access management experiences.

The Solutions Data Engineer will manage data integrations end-to-end, utilizing FloQast's Data Platform and Data Studio to connect source systems and transform data for reliable outputs across applications.

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 Senior Software Engineer, Data will develop and optimize FloQast's core data platform, ensuring reliability and scalability while collaborating across teams, mentoring staff, and enhancing data infrastructure.

As a Sr. Staff Machine Learning Engineer, you will drive the development of cloud security features, leveraging AI/ML to solve real-world challenges and optimize production systems.

The Staff Data Center Operations Engineer will provision hardware, troubleshoot build environments, and collaborate with various teams to optimize processes for Zscaler's global cloud.

The Data Center Optical Engineer ensures installation, maintenance, and operation of optical infrastructure in data centers, conducting audits and supervising optical testing.

Lead diverse technology projects and a team to create solutions for regulatory needs, leveraging distributed microservices and collaboration with product managers.

Design and build scalable data ingestion pipelines and modernize Block's CDC platform while collaborating cross-functionally to ensure data flows reliably for analytics and ML initiatives.

The role entails architecting and delivering production-grade data engineering pipelines, maintaining datasets for ML and Gen AI applications, and collaborating with various teams to ensure data-driven AI product delivery.

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.

The AI and Data Engineer will develop and enhance a Generative AI Platform, focusing on prompt design, testing, and optimization in collaboration with cross-functional teams.

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

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.

As a Founding Data Engineer, you'll build ETL pipelines, design scalable data models on AWS, and process complex healthcare data to improve patient care.

Build and maintain ETL pipelines and workflows to process cloud billing data. Design data storage systems and develop validation systems to ensure data quality.

As a Cloud Data Engineer, you'll build and maintain data pipelines, evaluate new technologies, and enhance AI outcomes. You'll collaborate with data scientists and develop applications in cloud environments using big data technologies.

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 Data Engineer will process flight test and health data, develop data architectures, optimize ETL processes, and ensure data quality for analytics and reporting.