Data Engineer Jobs in Berkeley, CA

Design and improve data pipelines, maintain data flows, apply ML techniques for data curation, and collaborate across teams.

The Network Engineer will label, annotate, and structure data from networks, supporting the development of AI-driven infrastructure solutions.

The Staff Engineer will focus on finance data analysis and modeling, contributing to innovations that improve customer experience and business performance.

Lead the architecture and scaling of core API infrastructure, developing APIs for internal and external users while optimizing for performance and reliability. Mentor team members and ensure engineering excellence in a fast-paced, high-output environment.

Lead the architecture and execution of AI and data platform, mentoring engineers and driving technical excellence in ML infrastructure.

As a Principal Engineer, you will lead the Data Infra team in building scalable data processing systems for millions of users while ensuring compliance with data regulations.

The Staff Engineer will design and build scalable Data Lakehouse components, ensuring quality and performance while mentoring team members and innovating with new tools.

You will build and maintain data systems for sustainability assessments, design data models, develop data pipelines, and ensure data quality and availability for various teams.

As a Staff Software Engineer, you will design high-performance data infrastructure, develop scalable backend systems, and collaborate on advanced engineering solutions.

Develop and implement scalable solutions for a high-performance online infrastructure for AI inference, architecting low-latency serving platforms and enhancing query execution capabilities.

As a Staff Software Engineer, you will architect and scale compute engines and storage, improve query optimization, and lead technical domains and cross-functional projects.

As a senior engineer, you'll architect and scale compute engines and storage architecture, optimize query performance, and mentor junior engineers.

The Software Engineer II will design and optimize distributed systems for processing metadata, collaborating closely with cross-functional teams to integrate machine learning models into production pipelines.

The Sr. Data Engineer will build and implement data infrastructure, manage data migrations, and develop analytics tools using big data and machine learning technologies.

The role involves developing data integrations, maintaining data-oriented applications, and ensuring data quality while collaborating with cross-functional teams.

The Data Engineer will design and maintain data pipelines, support model training, and improve data quality for analytics and ML applications.

The Staff Data Engineer will develop and maintain data pipelines, integrating external data, optimizing systems for real-time insights, and enhancing blockchain reporting at BitGo.

Develop and maintain software systems for sonar data processing and mapping. Involve full-stack development from data ingestion to API creation and visualization.

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.

Data Center Engineer II responsibilities include deploying and maintaining infrastructure, troubleshooting hardware and network issues, and managing inventory.

Responsible for deploying and maintaining data center infrastructure, troubleshooting hardware and network issues, managing inventory, and optimizing operations.

Develop and maintain scalable data pipelines for drone data, ensuring reliability and safety, while collaborating with cross-functional teams.

Design and scale infrastructure for multimodal training and evaluation, manage distributed data pipelines, translate research requirements into production systems, and ensure reliability and efficiency.

As a Staff Software Engineer, you will build distributed data systems, focusing on reliability and performance for large-scale data processing, using technologies like Apache Spark™ and Delta Lake.