Top Data Engineer Jobs in San Francisco Bay Area, CA

The Data Engineer will build datasets and pipelines for marketing and sales reporting, collaborating with various teams to support data needs and ensure scalable solutions.

As a Senior Data Engineer, you'll design and develop models to integrate diverse data sources for analytics and AI applications, ensuring data consistency and quality across domains.

Transform Electronic Health Records (EHR) data into structured assets, build scalable data pipelines, and apply Generative AI techniques for analytics within a healthcare-focused team.

The Data Engineer II builds and maintains automated data services and pipelines, applies best practices in software development, and ensures data quality and compliance, while also supporting and improving existing services.

The Data Engineer will design and optimize ETL jobs using PySpark, build data pipelines, and collaborate on enterprise data systems.

As a Data Engineer at Figma, you'll build and maintain scalable data pipelines, optimize data models, and collaborate with teams to ensure timely data delivery.

As a Staff Data Engineer, you'll architect and model data, create ETL pipelines, and standardize datasets for compliance teams. You'll guide best practices and lead data solutions while collaborating with various stakeholders.

The Data Engineer II will design, develop, and improve analytical data models and pipelines, collaborating across teams to meet data needs.

As a Senior Data Engineer, you will design and maintain data pipelines, define governance standards, and collaborate across teams to enhance Headway’s data architecture.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

Lead data engineering projects within the Sales Analytics team at Visa, developing complex data solutions for business intelligence, creating scalable data pipelines, and ensuring high data quality. Engage with various teams to support initiatives and empower business insights.

As a Data Engineer, you'll design and maintain data pipelines, manage data architecture, and collaborate with teams to drive data solutions for operational efficiency.

As a Data Engineer II, you will build and maintain ETL pipelines, analyze requirements, and mentor junior colleagues while supporting customer implementations.

The Data Engineer will design, build and maintain scalable ETL pipelines and data integrations, ensuring data governance and operational excellence while collaborating with cross-functional teams.

The Staff Data Engineer will design and optimize data pipelines, collaborate with stakeholders, mentor team members, and lead architectural decisions in data infrastructure.

The Data Engineer will design and manage data pipelines, develop datasets for product metrics, and collaborate with teams to ensure robust data integration and processing.

As a Data Engineer at Rhythm360, you will optimize ETL workflows, develop data models, ensure data quality, and collaborate with teams to drive insights in healthcare.

As a Data Engineer, you'll design and manage the data warehouse and ingestion solutions, ensuring data integrity and quality while collaborating with various teams to support analytics and business intelligence needs.

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

Design and deploy data processing pipelines, analyze data to extract insights, and develop software systems for data management and privacy.

Build the data platform from scratch, architect data systems, analyze user engagement, optimize financial performance, and execute experiments.

The Data Architect designs data flows, defines standards, ensures data quality, and collaborates on data strategies while integrating advanced technologies.

The Data Engineer will build ETL pipelines and data infrastructure, ensure data quality, and implement modern data warehousing for analytics improvements, while collaborating with stakeholders across teams.

Design and build secure data pipelines, lead data architecture, collaborate across teams, ensure data quality, and mentor other engineers.