Top Staff Data Engineer Jobs in San Francisco, CA

As a Staff Data Engineer, you will lead data infrastructure initiatives, define data standards, and mentor other engineers while influencing technology choices to deliver high-quality data assets.

Lead architecture and delivery of SoFi's data platform: build scalable data pipelines, drive cloud-native and AI-enabled tooling, enforce governance and security, mentor senior engineers, and support production on-call.

Lead design and implementation of shared, reusable analytics data models and pipelines. Drive standardization, governance, observability, and CI/CD for analytics; partner with Data Science, Infrastructure, and Product to certify metrics, modernize orchestration, and integrate AI-native tooling.

As a Staff Data Engineer, you will design and optimize data infrastructure, collaborate with stakeholders, ensure data quality, and provide technical leadership while owning architectural improvements and driving operational excellence.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

Lead the architecture and development of robust data pipelines and backend services for MLS data, integrating AI solutions and ensuring data quality.

Lead design and implementation of a unified event-tracking data platform. Collaborate with Data, Product, and Engineering to build reusable event-publishing frameworks, monitoring/alerting, and deprecate legacy systems. Coach mid-level engineers, influence roadmap and processes, manage cloud/SaaS spend, create documentation, and participate in on-call rotations to ensure platform reliability and data trustworthiness.

As a Senior Data Engineer, you will define and own data pipelines, design schemas, partner with scientists, and improve data infrastructure for Merge Labs' molecular optimization platform.

As a Staff Data Platform Engineer, you will oversee the strategy, architecture, and operation of data and AI platforms, mentor teams, and resolve complex challenges using advanced data solutions.

The Staff, Data Center Augmentation Engineer will lead engineering efforts to upgrade data center infrastructure for AI workloads, focusing on power and cooling enhancements and managing complex retrofits.

Design and implement near real-time data pipelines and reporting systems. Ensure reliability and scalability of distributed data systems and collaborate with cross-functional teams.

Lead the technical strategy for Coinbase's Data Platform, architecting data systems for AI/ML workloads and ensuring data reliability, performance, and cross-functional alignment.

The Staff Data Engineer will design and maintain data infrastructure using Azure and Databricks, optimize data workflows, ensure data quality, and collaborate with teams for data-driven decisions.

As a Staff Engineer, you will lead the development of data migration tools, collaborating with teams to design scalable solutions and mentor engineers while driving technical excellence and innovation.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

The Staff Data Engineer designs and builds data platforms and pipelines, ensuring data integrity and collaboration across teams for analytics and reporting.

As a Staff Data Engineer, you'll architect a scalable data platform, optimize data pipelines, establish data standards, and mentor teams to drive technical excellence.

Design, build, and operate the core data warehouse, ingestion, orchestration, and cataloging platform. Develop batch and streaming pipelines, ensure data quality, governance, observability, and provide ML data platform capabilities. Lead architecture, improve platform reliability and performance, and collaborate with product, engineering, data science, security, and compliance teams.

As a Staff Data Engineer, you'll lead the data engineering team, own the Databricks platform, build production pipelines, and engage with stakeholders while driving architectural judgement and maintaining platform quality.

Lead architecture, strategy, and hands-on execution for Faire's data platform. Build and scale secure, cost-efficient data ingestion, ETL/ELT, warehousing, orchestration, monitoring, and governance. Mentor engineers, influence cross-team priorities, and drive performance and cost optimization for analytics and data products.

The Staff Data Engineer will architect and build data pipelines, manage data strategy, ensure data quality, and mentor teams.

Lead architecture and implementation of scalable, secure, serverless and event-driven data pipelines and services in a Node.js/TypeScript ecosystem; mentor engineers, improve reliability, observability, CI/CD, and collaborate on scientific data solutions.

The Staff Data Engineer will design data architecture, develop scalable data pipelines, ensure data quality, and lead governance practices while collaborating across teams.

The role involves building scalable data platforms, developing data pipelines, mentoring engineers, and enhancing data security while collaborating across teams.

As a Staff Data Engineer, you will design and build large-scale data processing systems, ensuring data integrity and reliability while collaborating with cross-functional teams to influence architecture and technical roadmap.