Data Engineer Jobs in Sunnyvale, CA

The AV Safety Data Reporting Engineer gathers, analyzes, and reports safety data, ensuring compliance with regulations while collaborating with various teams to maintain safety standards.

Lead the architecture and development of data systems and services for F5 Distributed Cloud, focusing on data engineering, analytics, and AI solutions.

The Staff Software Engineer - Vehicle Data Management will work on scalable data frameworks, APIs, and optimize systems using cloud technologies while collaborating across teams.

The Data Pipeline Engineer will implement and maintain big data infrastructure, develop REST APIs, and perform statistical analysis within an Agile environment.

As a Marketing Science Associate Analyst, you'll automate processes with SQL and Python, analyze data documentation, and collaborate with teams to enhance data management and analytics.

The Senior Data Engineer will implement quality data solutions, build pipelines, analyze raw data, develop tools, and collaborate with teams to meet business objectives.

Build and maintain scalable data pipelines in healthcare; develop solutions for data ingestion and modeling; collaborate with teams; ensure data quality and compliance, and explore AI tools.

Design and develop ML/DL algorithms and architectures for automated data analysis, build scalable ETL pipelines, and work collaboratively on projects.

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

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

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.