Data Engineer Jobs in San Jose, CA

The Data Engineer will gather and process large datasets, develop algorithms, conduct data analysis, and improve predictive models for business decisions.

The Data Engineer will gather and process data, analyze trends, support business decisions, and collaborate on predictive models while improving algorithms and efficiency.

The role involves designing and developing data applications, working with large data sets, and requires expertise with various data processing technologies. Candidates should have strong analytical skills and experience in prototyping software applications.

Manage the development and validation of AI models, lead projects, provide strategic client interaction, and foster team improvement.

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.

Seeking a Staff Engineer to lead data platform development, focusing on stream processing, data architecture, and team mentorship within a high-performance environment.

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.

As a Lakehouse Core Engineer, you'll enhance data systems, optimize storage and compute, develop ACID transactions, and improve query performance, focusing on petabyte-scale efficiency.

As a Software Engineer, you'll build M365 protection software, design and maintain systems, analyze data, and solve problems collaboratively.

Design and develop distributed services, collaborate on customer-centric solutions, and manage the software development lifecycle for Adobe Experience Platform.

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

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.

As a Data Engineer II, you will build and maintain ETL pipelines, analyze requirements, and mentor junior colleagues while supporting customer implementations.

Lead the design and implementation of data infrastructure for Voice AI products, enabling scalable data systems and collaboration across teams.

As a Data Engineer, you will create and optimize datasets and data pipelines, focusing on large-scale data collection across various modalities and collaborating with multiple teams.

You will build and optimize data infrastructure for machine learning, design data pipelines, index systems, and ensure compliance in data handling.

As a Data Engineer, you will build and maintain data pipelines, collaborate on data modeling, and automate data processes for the Games team at Netflix.

The Data Engineer will manage the full data stack, design database architecture, build ETL pipelines, create data integrations, and oversee reporting and data quality.

As a Data Engineer at Influur, you will build and optimize data infrastructure, design ETL and ELT pipelines, and ensure data quality while collaborating with cross-functional teams.

The CRM System Admin and Data Engineer role involves managing Dynamics 365, developing integrations, and supporting data warehousing and user adoption using Microsoft technologies.

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 Senior Software Engineer will develop algorithms for processing video and sensor data, improve ML models, and collaborate on backend systems and data infrastructure.

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

Lead a team to build data platforms for evaluating autonomous driving software, define strategies, and collaborate with analytics teams.

Design and deploy machine learning models to estimate weather conditions using camera, lidar, and radar data. Collaborate with teams to address weather-related needs and build evaluation systems for rapid deployment.