Top Staff Data Engineer Jobs in San Francisco, CA

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 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.

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.

Design and manage data pipelines for healthcare clients, ensuring compliance with data regulations, and transforming health data into actionable formats.

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.

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.

As a Staff Data Engineer, you'll architect secure data systems, build pipelines, enforce best practices for sensitive data management, and mentor teams across Tonal.

As a Staff Data Engineer, you'll design and build real-time streaming data pipelines, standardizing data across multiple product teams for analytics and machine learning.

The Data Engineer will design and maintain scalable data pipelines, integrate APIs, support ML teams, and optimize data systems for performance and reliability.

As a Staff Software Engineer in the Data Platform group, you'll lead architecture decisions, mentor engineers, and enhance operational systems while collaborating with cross-functional teams to shape data-based solutions.

Lead automation and data pipeline initiatives, design integrations, build scalable data models, mentor engineers, ensuring system performance and reliability.

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.

Lead design, build, and support of cloud-based ETL, data warehousing, and reporting solutions. Develop/optimize ETL pipelines, data models, and queries; deploy containerized services on Kubernetes; automate workflows; mentor teammates; collaborate with architects, data scientists, and stakeholders to deliver scalable analytics and reporting products.

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.

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.

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

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

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.

Lead design and implementation of scalable batch and streaming data infrastructure. Build and maintain ETL/ELT pipelines, ensure data quality and observability, troubleshoot production issues, mentor engineers, and partner with cross-functional teams to deliver reliable, self-serve data products.

As a Staff Data Engineer, you will lead the data engineering practice, modernize the data stack, and build data pipelines for analytics and machine learning at Postscript.

The Staff Data Engineer at Apptegy will lead the design and implementation of scalable data solutions, mentor teams, and establish data engineering best practices while collaborating across departments.

The role involves designing and developing Quizlet's analytical data and ML infrastructure, emphasizing scalability and reliability while collaborating with cross-functional teams.