Top Staff Data Engineer Jobs in San Francisco, CA

Own and evolve the data platform by leading architectural evolution, collaborating with teams for strategic data initiatives, and ensuring reliable data systems.

The Staff Data Engineer will architect and implement a next-generation data platform, build data pipelines, and ensure data integrity for actionable insights.

The Staff Data Engineer will enhance the data ecosystem at WeightWatchers by developing data pipelines, collaborating cross-functionally, and ensuring data quality while leading projects and technical initiatives.

As a Senior Data Engineer, you'll build and maintain reliable data ingestion pipelines, ensure data quality and performance, and oversee data readiness for features, using technologies like ClickHouse and Rails.

Own and design data pipelines for customer-facing analytics, ensuring accuracy and freshness while collaborating across teams for data-powered features.

The Staff Data Engineer will design and maintain data systems, streamline workflow for Data Analytics and Machine Learning teams, and ensure data pipelines are efficient and reliable. Responsibilities also include driving large projects, collaborating across teams, mentoring, and supporting the company's strategy.

The Senior Staff Data Engineer at SmithRx will define technical vision, improve data engineering efficiencies, and enhance data governance while mentoring other engineers and leading cross-functional collaborations.

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

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.

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

Lead the design and optimization of scalable data ingestion pipelines, develop reusable ETL components, and mentor junior engineers while leveraging expertise in Python and AWS for the Arine platform.

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.

The role involves developing high-performance data processing systems, collaborating across teams, and improving data infrastructure at Airbnb. It requires designing scalable data architectures and advocating for engineering quality in data operations.

Design and maintain backend platform for sustainability data processing, ensuring data integrity and performance while collaborating with scientists and engineers.

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

Lead the design and evolution of systems for data ingestion, transformation, and access; mentor engineers and ensure data governance best practices.

Design and deliver scalable, GCP-native data solutions focusing on machine learning and analytics, architecting data storage, and implementing data workflows.

The role involves designing and scaling the data platform for Actively AI, including integrating data from various sources, ensuring data quality, and supporting real-time decision-making for automated agents.

The Staff Data Engineer will lead financial data operations, ensuring accuracy and reliability of data pipelines, while collaborating with Finance, Product, and Engineering teams to enhance systems and decision-making processes.

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

The Staff Engineer / Architect will design and build a central data and identity platform for a consumer membership ecosystem, ensuring compliance and integration across products.

Design and implement data-intensive platform components, mentor engineers, and optimize streaming infrastructure to enable scalable data services at Okta.

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.

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.

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