Data Engineer Jobs in Sunnyvale, CA

Design and implement data platforms, manage data infrastructure, develop streaming architectures, improve performance, and ensure data compliance.

As a Senior Associate in Audit and Assurance, you'll evaluate AI solutions, manage AI/ML controls, and enhance transparency in reporting. Responsibilities include data analysis for governance strategies, guiding compliance practices, and contributing to innovative thought leadership in AI governance.

Lead the design and implementation of enterprise AI/ML solutions, oversee project performance, mentor leaders, and ensure compliance with Responsible AI.

The role involves designing and implementing AI/ML solutions, leading teams, mentoring staff, and managing project delivery while ensuring client satisfaction.

Lead the architecture and evolution of Granica's distributed data systems, focusing on efficiency, platform reliability, and team mentorship. Collaborate with AI teams and contribute to research in data infrastructure.

The Data Engineer will design, develop, and maintain scalable data systems, focusing on AWS and big data technologies to support data-driven decision-making and ensure data security.

The Data Engineer will analyze data quality, design prediction algorithms, collaborate with the engineering team, and generate business insights.

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 Analytics Engineer will design data models, build pipelines, and ensure data quality to support AI evaluation and insights.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

Design, deploy, and maintain a hybrid data infrastructure including Vertica, SQL Server, and PostgreSQL clusters; build and optimize ETL pipelines; automate Windows/Linux operations with PowerShell and Python; manage VMware hypervisor platform and storage; develop IaC, runbooks, and monitoring; lead incident response and capacity planning.

Design and implement scalable data infrastructure and production data transformations. Lead and mentor a small Data Engineering team, ensure quality delivery, collaborate with Product, Data Analysts, and Data Scientists to operationalize algorithms and build robust data repositories.

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.

Develop and maintain scalable data systems for sensor data, including ETL pipelines, hardware/software integration, and workflow collaboration.

The AWS Sales Engineer will define and scale cloud and AI offerings, aligning strategies, architecture, and monetization models to create measurable business impact while managing go-to-market strategies and ensuring compliance with security and AI ethics.

As a Full-Stack Engineer at Labelbox, you will develop and maintain AI tools, focusing on data training systems, intermediate user interfaces, scalable architectures, and work in a collaborative, fast-paced environment.

Lead design and delivery of production data platforms, pipelines, and analytics. Architect Snowflake/Databricks solutions, build ETL/streaming ingestion, implement dbt transformations, data quality, observability, and governance, support BI and AI/ML feature/data pipelines, and mentor engineers while driving DataOps and platform best practices.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The Senior Data Engineer will architect event-driven data pipelines, automate ETL processes, and ensure operational excellence in NVIDIA's financial infrastructure.

The role involves developing large-scale data processing pipelines, automating data selection, and collaborating on ML model improvements to enhance vehicle performance and safety.

The Staff Software Engineer will design, develop, and maintain scalable cloud-based solutions, manage data ingestion and retrieval, and lead architectural innovation while collaborating with cross-functional teams.

Build and automate large-scale ML data pipelines and tooling for autonomous trucking. Improve dataset curation, deduplication, labeling, evaluation, and metrics infrastructure. Collaborate with robotics, autonomy, and infra teams to support continuous learning, deployment, and scalable AI infrastructure for Kodiak's fleet.

The role involves bridging machine learning and systems engineering to enhance autonomy performance by optimizing data quality and developing frameworks for synthetic data in autonomous systems.

The Software Engineer Intern will enhance an event mining framework for data insights, focusing on automating monitoring, CI/CD integration, and data visualization.

Contribute to the development of metrics dashboards by optimizing image/video search indexing, building iterative search features, and creating smart sampling strategies.