Data Engineer Jobs in Santa Clara, CA

The role involves developing data integrations, maintaining data-oriented applications, and ensuring data quality while collaborating with cross-functional teams.

The role involves designing and implementing cloud data infrastructure, building data pipelines, and developing dashboards for insights from connected vehicle data.

The Data Visualization Engineer designs user-centric dashboards and reporting interfaces, collaborates with stakeholders for requirements, and ensures optimal performance and visual consistency in BI tools.

The Staff Data Platform Engineer will design and develop scalable data systems, drive data platform strategy, lead ETL workflows, and mentor teams to enhance data capabilities for machine learning and autonomy.

Design and implement data processing pipelines and systems for aircraft automation, collaborating with teams to enhance data services and governance.

Lead the design and operation of PostgreSQL-based data platform, optimizing databases and APIs for identity systems. Drive performance improvements and mentor engineers.

As a Staff Software Development Engineer, you will lead the design of foundational data platform services, focusing on APIs and data services while ensuring data governance and compliance. Responsibilities include architecting event-driven systems and mentoring engineers, collaborating closely with cross-functional teams.

Lead the design and implementation of complex data systems, ensuring data quality and mentoring junior engineers while optimizing processes.

The Staff Data Engineer will design and maintain the data platform for Figure's humanoid robots, focusing on scalability, reliability, and data accuracy. Responsibilities include architecting data pipelines, improving ETL processes, and collaborating with robotics experts.

Design and develop scalable software features for Prisma Access, troubleshoot issues, and work collaboratively across teams. Requires strong experience in cloud services and big data technology.

The role involves contributing to distributed data systems, managing real-time and batch data processing pipelines, and enhancing internal processes and products.

The role involves architecting and developing the data platform, including data lakes, streaming systems, and analytics enablement, requiring hands-on expertise in various data infrastructure technologies.

The role involves improving the data platform for Perception model training, developing APIs, and supporting cross-team integration while mentoring junior engineers.

As a Software Engineer in Data Acquisition and Web Crawling, you'll design large-scale systems for processing data and manage cloud computing workloads.

As a Data Science Engineer at Adobe, you will analyze data, develop machine learning models, and provide insights to drive business decisions in the B2B segment. Responsibilities include enhancing M/L models, implementing dashboards, and discovering opportunities for growth.

Contribute to the development of streaming data frameworks, build data pipelines, and monitor data ingestion for TigerGraph's graph database.

The Lead Data Systems Engineer will optimize data-driven manufacturing processes, develop full-stack applications, implement automation scripts, and collaborate with engineering teams.

Lead the design and delivery of large-scale solutions in Generative AI and Big Data, while mentoring teams and driving innovation.

Develop and maintain scalable data pipelines for drone data, ensuring reliability and safety, while collaborating with cross-functional teams.

Build next generation distributed data storage and processing systems, including projects like Apache Spark and Delta Lake, while focusing on customer value and handling complex data engineering pipelines.

As a Senior Software Engineer at Databricks, you will design and build advanced distributed data storage and processing systems focusing on optimizing performance and supporting various data workloads.

Design and build robust data pipelines for real-time analytics and support robotic systems, ensuring data quality and reliability.

The role involves designing and maintaining data infrastructure for robotics, optimizing GPU utilization, and collaborating with researchers on advanced data technologies.

As a Data Science Engineer, you'll develop revenue-generating models, analyze business performance, and enhance sales strategies through advanced data-driven insights.

Lead the design and scaling of data systems for multimodal sensor collections and ML datasets, mentor engineers, and improve internal efficiency.