Top Staff Data Engineer Jobs in San Francisco, CA

The Sr. Staff Data Platform Engineer will architect data infrastructure, manage data governance, lead engineering excellence, and mentor engineering teams. You will focus on building scalable data solutions and optimizing cloud workloads.

As Staff Engineer, you will lead a data engineering team, architect data pipelines, mentor engineers, and optimize performance while ensuring system reliability and adherence to standards.

As a Senior/Staff Software Engineer, you will enhance data operations, build scalable infrastructure, mentor engineers, and lead projects in a collaborative environment focused on AI and finance.

Develop novel metrics for measuring ML model driving trajectories, build data pipelines, and conduct data analysis to improve performance of generative AI models.

The Partner Engineer will support strategic partners in architecting data collaboration strategies, prototype Delta Sharing solutions, and troubleshoot complex data-sharing issues.

As a Staff Data Engineer at Discord, you'll lead data strategy and infrastructure for advertising products, manage complex data pipelines, and mentor fellow engineers, driving technical innovation and data-driven insights.

Responsible for the architecture and implementation of key components of a modern data platform, driving technical innovation, mentoring engineers, and collaborating across teams to enhance platform capabilities and reliability.

The Data Platform Engineer leads the architecture of large-scale systems, developing scalable microservices and APIs, ensuring data quality, and 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.

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.

Develop and enhance LiveRamp's Data Marketplace by designing frontend and backend services, creating RESTful APIs, and ensuring system performance and reliability.

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.

The Staff Software Engineer will design, build, and launch data products and capabilities, focusing on backend systems and clinical data processing, while ensuring high-quality and scalable solutions.

As a Staff Software Engineer on the Data Platform team, you'll architect and develop cloud-native SaaS services, lead distributed systems design, and mentor engineering teams to drive innovative data solutions.

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.

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.

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.

Lead the design and development of core data storage, streaming, and indexing platforms while collaborating with cross-functional teams to deliver new features and improve processes.

Join the Data Engineering team as an Enterprise Python Expert to design and build scalable data pipelines and services, ensuring high-quality software engineering and system architecture.

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

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