Top Data Engineer Jobs in San Francisco Bay Area, CA

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 Data Engineer, you will build and maintain data ingestion pipelines, develop data transformations, and migrate SQL Server processes to Azure-native solutions, supporting marketing campaigns and analytics teams.

Develop and manage Sutter Health's data infrastructure, ensuring data quality, building pipelines, and collaborating with researchers on projects involving sensitive data under HIPAA regulations.

The Principal Data Engineer designs data solutions, mentors teams, guides implementation, and connects data to real-world outcomes to enhance educational data value.

The role involves architecting intelligence infrastructure, building data pipelines, collaborating with other teams, and ensuring data accessibility and security for threat detection systems.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

As a Data Engineer, you'll build and maintain data architectures, develop scalable data pipelines, and optimize data systems to support analysts and data scientists. Responsibilities include designing databases, implementing ETL processes, and collaborating with teams to ensure efficient data workflows.

The Data Engineer will build and scale Baseten's internal data platform, designing data models and pipelines while enabling self-service analytics and ensuring data reliability.

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.

The Staff Data Engineer will design and implement a unified semantic data layer, integrating heterogeneous data sources and enabling AI interactions while ensuring security and compliance across the organization.

The Looker Data Engineer will build and optimize data models, develop reporting solutions, and support data-driven decisions using Looker and other technologies.

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.

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

The Senior Data Engineer will build and maintain data pipelines, optimize data processing, and ensure data privacy and quality within the healthcare tech space.

As the founding engineer of the Data Intelligence team, you will design semantic layers, develop AI tooling, and automate data processes to drive business insights.

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.

The Data Engineer will design and maintain data pipelines, optimize cloud data warehouses, and collaborate with analytics teams while mentoring junior staff.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

The role involves owning the data infrastructure and pipeline, building robust data pipelines, managing Snowflake and dbt, and delivering analytics and dashboards.

The Data Engineer designs and manages data pipelines for lead generation, collaborates with Sales, analyzes metrics, and ensures data quality and integrity.

The Principal Data Modeler will design and manage data models for the Marketing Data Warehouse to support data-driven marketing decisions and optimize data architecture.

Design, build, and maintain scalable data pipelines and tooling to support AI and analytics. Manage datastores (MySQL, Redshift, OpenSearch), implement AWS-based ETL/ELT solutions, collaborate with data science and product teams, and ensure data quality, automation, and production reliability.

The Scientific Data Engineer will design data architecture, build ETL/ELT pipelines, implement data quality checks, and develop semantic layers for AI-consumable data products in healthcare research.

As a Data Engineer, you'll develop data architectures and pipelines, manage scalable data processing, automate workflows, and ensure data quality within the Data Platform organization.

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.