Data Engineer Jobs in San Jose, CA

As a Sr. Staff Software Engineer, you will design and run Databricks' Data Intelligence Platform, develop tooling for large-scale systems, and lead architecture efforts while mentoring engineers.

The role includes backend development for threat intelligence analysis, optimizing data pipelines, and collaborating on product integration.

The Principal Engineer will design and develop data-plane applications for Prisma Access, enhancing security features cloud-wide while mentoring teams and troubleshooting issues.

Design and develop cloud-native software features for Prisma Access, collaborating across teams to ensure quality and troubleshoot issues while mentoring others.

Design and build data infrastructure and data pipelines, focusing on big data processing, modeling, and automation to support engineering teams at NextSense.

Lead and shape Sprinter's Clinical Data Platform team, building systems for integrating clinical, operational, and logistics data while ensuring data quality and usability across various applications.

The role entails designing, developing, and managing data platforms, analytics, and AI services in a multi-cloud environment, focusing on SaaS products and security.

The Senior Software Engineer will manage data lifecycles, design foundational datasets, ensure data quality, and collaborate across teams to enhance data transparency and governance.

Lead technology initiatives in data lifecycle management, drive technology vision and architecture, and serve as a mentor within Equinix and the industry.

As a Senior Solutions Engineer, you will support customers in deploying ML applications, ensuring technical success, and enhancing their understanding of Flyte and Union Cloud.

Design and maintain scalable data pipelines, develop infrastructure for dataset reliability, implement benchmarking systems, and automate quality checks for ML models.

Interns will design and implement features in an Angular/C++ stack, focusing on frontend UX. They will collaborate with teams to improve ML workflows.

The role involves designing and developing scalable software features for Palo Alto Networks' Prisma Access, collaborating across teams to enhance software quality, and troubleshooting customer issues.

Design and develop scalable data infrastructure for AI platform, optimize database performance, create data pipelines, and mentor junior engineers while collaborating across teams.

Develop and maintain internal web-based tools for client telemetry and logging by collaborating with cross-functional teams and ensuring data integrity.

As a Staff Software Engineer on the Data Science team, you'll develop and scale data science tools and machine learning models for the company's marketing intelligence platform, ensuring reliability and performance in data-driven solutions.

As a Staff Software Engineer on the Data Science team at Northbeam, you'll design and implement data-driven solutions, scale data products, and develop machine learning models, directly impacting the company's core product.

Build and automate infrastructure for large-scale data processing, optimize distributed loading for model training, and manage datasets for model training.

The role involves designing and building resilient data processing infrastructure, optimizing systems for large-scale data operations, and collaborating with researchers on technical requirements.

As a Senior Data Engineer, you will lead projects, design and maintain scalable data architectures using cloud technologies, and collaborate with stakeholders to enhance data solutions and business intelligence capabilities.

The Lead Data Engineer is responsible for designing, developing, and maintaining ETL pipelines to manage financial data, ensuring compliance and business intelligence.

The Senior Data Engineer will standardize and reuse data, develop features, create ETL processes, and collaborate with cross-functional teams.

The Lead Data Engineer will design and implement a modern data infrastructure for analytics and ML at Midi, leading cross-functional collaboration and developing data products.

As a Senior Software Engineer in Data Tooling, you will build scalable data exploration tools, improve ML infrastructure, and integrate user feedback.

Design and improve data pipelines, maintain data flows, apply ML techniques for data curation, and collaborate across teams.