Data Engineer Jobs in San Jose, CA

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

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

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

The Senior Software Engineer will design and build data pipelines, ensuring data quality and scalability while collaborating with researchers and product teams to analyze user vote data.

The Senior Data Ops Engineer will build and maintain data infrastructure in AWS and GCP, focusing on reliability, scalability, and performance tuning. Responsibilities include collaborating with engineering, DevOps, and InfoSec teams, as well as automating infrastructure with IaC code.

As a Software Engineer at Databricks, you will focus on distributed data systems, optimizing query execution, and enhancing data security and storage management.

The Senior Data Software Engineer will enhance and manage data systems, optimize applications, and develop data integration solutions to support strategic objectives.

Develop and optimize data processing infrastructure for robotic systems, enabling data access and visualization, supporting engineering teams with insights from logs.

As a Software Engineer, you will enhance the data infrastructure by building new concurrency controls, indexing schemes, and optimizing distributed data processing algorithms.

The Staff Engineer - Finance Data Specialist will develop and support a Finance Data Warehouse, collaborating with Finance and Tech teams on data management and analytical solutions.

As a Senior Engineer, you will build scalable data solutions, lead design sessions, and mentor engineers while driving innovation in data analytics.

As a Staff Data Engineer, you will lead data infrastructure initiatives, build complex data pipelines, and mentor other engineers in advertising data products.

The Senior Software Engineer will design and maintain data infrastructure, optimize data systems, and work with cross-functional teams to deliver innovative solutions.

The role involves automating and scaling big data technologies on cloud infrastructure, building CI/CD pipelines, and monitoring production systems.

The Senior Data Engineer will enhance data infrastructure, manage data pipelines, troubleshoot issues, mentor junior engineers, and collaborate on data processes.

The Staff Data Platform Engineer will lead the design and scaling of data storage systems and caching solutions to petabyte capacity, improving data access and reliability for mission-critical applications.

As a Data Infrastructure Engineer, you will design and maintain data pipelines for Snowflake, utilizing AWS services and ensuring high data quality in a banking environment.

As a Senior Data Reporting Software Engineer, you'll develop BI tools, reporting solutions, and UIs, ensuring data-driven decisions across stakeholders.

The role involves developing models, analyzing large datasets, and collaborating with teams to create impactful digital solutions at Adobe.

As a Senior Data Engineer at TRI, you will design and build robust data infrastructure and pipelines to support autonomy research and simulation workflows.

As a Software Engineer on the ML Platform team, you will design scalable data infrastructure to support ML model training, collaborate on data management, and enhance pipelines.

The Data Science Engineer analyzes data to improve customer engagement, provides insights for business strategies, and collaborates with data engineering teams for robust data strategies.

The Senior Data Engineer will build and maintain scalable data pipelines, integrate data sources, and enhance reporting infrastructure while ensuring data quality and optimizing systems for real-time processing.

Lead architectural design for Coupang's data ecosystem, drive technical decisions, and collaborate with engineering teams on implementations to enhance data capabilities and operational excellence.

Design and enhance large-scale data pipelines for machine learning teams, ensuring high-quality dataset delivery and facilitating new model deployments.