Data Engineer Jobs in Santa Clara, CA

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 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 Business Systems Engineer will manage systems supporting Data Center operations, focusing on capacity planning, lifecycle management, integrations, and asset tracking across infrastructure and finance. Responsibilities include architecture design, data modeling, and ensuring operational compliance.

The Staff, Data Center Augmentation Engineer will lead engineering efforts to upgrade data center infrastructure for AI workloads, focusing on power and cooling enhancements and managing complex retrofits.

As a Senior Business Systems Engineer, you will support data center operations by integrating and automating systems, managing lifecycles, and ensuring operational reliability.

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.

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.

The Founding Data Engineer will manage the company's data models, ensure metric integrity, and work with various teams to deliver reliable metrics and reporting systems.

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 CRM System Administrator and Data Engineer will manage Dynamics 365 and the data warehouse, collaborating with users to optimize processes and support system integration.

The Senior Software Engineer will design and build a performance data lake, manage telemetry schemas, extend time-series databases, create BI dashboards, optimize query performance, and ensure authoritative reporting.

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.

The role involves designing data models, managing data ingestion and transformation workflows, and collaborating with machine learning teams on critical datasets for energy operations.

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 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.

As a Senior Software Engineer, you'll design and build data models, APIs, and backend services for a complex datacenter infrastructure platform, while ensuring high performance and scalability.

The AV Site Engineer is responsible for designing, developing, and maintaining infrastructure for General Motors' AV projects, collaborating with teams, and supporting hardware systems.

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.