Top Staff Data Engineer Jobs in San Francisco, CA

As a Sr. Staff Software Engineer, you will design and run Databricks' Data Intelligence Platform, develop tooling for large-scale systems, and lead architecture efforts while mentoring engineers.

Lead and build data pipelines for Backflip's foundation model, driving data architecture, augmentation, and evaluation to enhance model performance in manufacturing and CAD.

The Staff Software Engineer will work on data pipelines and RESTful services, focusing on collecting and managing health data for the Zus platform.

As a Staff Software Engineer, you'll lead the architecture and implementation of core systems and data platforms, ensuring adaptability and planning technical strategies.

As a Staff Software Engineer on the Data Science team, you'll develop and scale data science tools and machine learning models for the company's marketing intelligence platform, ensuring reliability and performance in data-driven solutions.

As a Staff Software Engineer on the Data Science team at Northbeam, you'll design and implement data-driven solutions, scale data products, and develop machine learning models, directly impacting the company's core product.

Design and implement a real-time data pipeline, migrate to cloud-based architecture, and collaborate on a technical roadmap with engineering teams.

As a Staff Software Engineer focused on Scylla, you'll optimize performance, manage data infrastructure, collaborate on services, and debug production systems.

The Staff DataOps Engineer applies DevOps principles to data platforms, automating pipelines, leading initiatives to improve data system reliability and scalability, and mentoring teams.

The Staff Data Platform Engineer will architect and build AWS-based data solutions, leading teams to enhance data pipelines, ensuring performance and scalability while collaborating with analytics and executive teams on strategic initiatives.

Responsible for designing, implementing, and enhancing endpoint security products, developing automation solutions, and ensuring software quality. Collaborate with teams for effective user experience and manage release quality.

As a Staff Engineer, you will design, build, and maintain backend functionality for scalable services, focusing on storage systems and reliability.

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.

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.

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 Data Lake Engineer, lead the development of an enterprise data platform, mentor junior engineers, and ensure technical execution in data architecture and strategy while collaborating across teams.

Lead the design and development of scalable data acquisition systems, mentor engineers, and integrate diverse internal and external data sources. Architect platform components for high-volume data processing with a focus on reliability and governance.

As a Senior Staff Software Engineer, you will architect data models and systems, ensuring data integrity and consistency for enterprise use, while collaborating with various teams.

Design and build data infrastructure systems focusing on access control, financial reporting, cloud storage reliability, and data processing tooling.

As a Staff Data Platform Engineer, you'll design and manage the data infrastructure, optimize costs, ensure governance, and mentor engineers.

Architect and develop robust, petabyte-scale data pipelines, provide technical leadership, and collaborate with ML Engineers at Watney Robotics.

Lead design and implementation of cloud-native, scalable data infrastructure on AWS, focusing on reliability and performance. Mentor teams and drive best practices.

The role involves developing AI applications, building data pipelines, maintaining analytics infrastructure, and collaborating with sales teams to enhance go-to-market strategies using data-driven insights.

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.