Data Engineer Jobs in Sunnyvale, CA

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

Responsible for designing, building, and maintaining data pipelines and applications to support financial reporting. Collaborate with cross-functional teams to optimize data systems and enhance blockchain reporting infrastructure.

The role involves building data processing systems, managing workloads in cloud clusters, and preparing datasets for AI training.

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.

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.

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

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.

Design and implement privacy and compliance tools on the data analytics platform, ensuring GDPR and CCPA compliance, while working collaboratively to optimize ETL pipelines and data processing systems.

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.

The Senior Data Engineer will build and deploy data pipelines, develop warehouse architectures, and design analytics solutions for the team.

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

The Sr. Data Engineer will develop and manage data pipeline architectures, analyze data from various sources, build analytics tools, and support business users with actionable insights.

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.