Top Data Engineering Jobs in San Francisco, CA

As a Senior Software Engineer in Data Engineering, you'll build scalable data pipelines, design schemas, ensure data quality, and collaborate with teams to produce insights, thus enhancing decision-making throughout the fintech sector.

The Senior Data Engineer will design, implement, and maintain data infrastructure and ETL pipelines, optimize data flow, and develop reporting solutions. They will collaborate with teams to enhance data quality and support data-driven decision-making.

As a Data Engineer at Notion, you'll build datasets, integrate financial systems, design data pipelines, and support analytical needs for the finance team.

As a GTM Analytics Engineer at Gusto, you'll build and maintain data infrastructure, automate data processes, and support Sales metrics to drive revenue growth.

The Digital Innovation Co-Op role involves collaborating with data scientists and engineers to develop AI-powered tools, contribute to ML model development, analyze supply chain data, and present findings, all while gaining exposure to applied AI/ML in operational settings.

Lead and manage data engineering efforts, focusing on data models and pipelines for risk and AI applications in the banking sector while mentoring a team of data engineers.

The Data Engineer will build scalable analytics pipelines, define data models and integrations, optimize systems, and collaborate with teams for data architecture projects.

Lead the transformation of Rula's data landscape by managing analytics engineering, building ELT pipelines, and enabling cross-functional data insights.

The Data Center Technician will be responsible for maintaining and managing the technical operations of the data center, ensuring optimal performance and reliability of IT systems.

The Senior Data Engineer will develop and maintain end-to-end data pipelines, manage data integration, and work with varied data sources to enable analytics and drive customer success.