Top Senior Data Engineer Jobs in San Francisco Bay Area, CA

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

The Senior Data Engineer will design and maintain scalable data pipelines and infrastructure, enforce best practices, collaborate with stakeholders, and contribute to architectural decisions.

As a Senior Data Analytics Engineer at Envoy, you will develop the Intelligence Platform, guide product strategy, support ML workflows, and ensure engineering rigor while mentoring team members.

The Senior Data Engineer will enhance analytics and AI infrastructure, manage dbt warehouses, build AI tools, design metrics APIs, and collaborate across departments to translate business needs into data-driven solutions.

The Senior Data Engineer will build and maintain data pipelines, distributed ETL/ELT workflows, and data storage systems while collaborating with various teams to optimize data quality and performance.

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

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 Senior Data Engineer designs and implements scalable data pipelines and reporting infrastructure, ensuring high throughput, reliability, and observability in distributed systems.

As a Senior Data Engineer, you'll own data infrastructure, build scalable pipelines from various services, and ensure data reliability for AI systems in a healthcare context.

Lead design, build, and maintenance of scalable data pipelines and lakehouse infrastructure using PySpark, Databricks, and Airflow. Own data & ML platform (Terraform, Databricks), improve observability, data quality, and developer tooling, and partner closely with Data Science and engineering teams.

In this role, you'll build and scale high-throughput data pipelines, ensure data quality, and leverage AI for improved data operations. You'll also lead initiatives in a fast-paced environment focused on real estate data engineering.

The Senior Data Engineer will build and maintain ETL pipelines, enhance entity resolution processes, implement risk calculation logic, and collaborate with product and development teams to refine requirements and manage data releases.

Design and implement data infrastructure and pipelines, ensuring reliability and quality. Collaborate with teams for data solutions and optimize processes. Coach junior engineers.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Sr. Data Engineer will build automation and observability for the EDAS platform, focusing on reliability through data-driven tools and workflows. Responsibilities include developing frameworks for monitoring, optimizing data pipelines, and collaborating to enhance platform performance and compliance.

The Senior Data Engineer will construct and optimize data pipelines, work with cross-functional teams, ensure data quality and governance, and mentor junior engineers while leading advanced analytics initiatives.

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 Senior Data Engineer will design and optimize data infrastructure, build scalable data pipelines, and ensure data quality while collaborating with various teams.

The Data Engineer Senior will optimize data pipelines, work within scrum teams, mentor others, and improve data quality, reliability, and governance.

The Senior Data Engineer will build and maintain data platform infrastructure, ensuring data reliability across the business, drive architecture decisions, and enhance monitoring of data systems while partnering cross-functionally.

The Lead Data Engineer drives enterprise-scale data solutions, oversees project scoping, and leads a team, ensuring best practices in data engineering.

The Lead Data Engineer will design and architect data retrieval systems, build inference infrastructure, improve data quality, and mentor a specialized team to enhance customer success through AI integration.

The Senior Data Engineer will develop and maintain Oura's Datalake and support data processing systems while collaborating with various stakeholders to enhance data quality and compliance.

Responsible for designing, developing, and maintaining scalable data pipelines and infrastructure, implementing data governance, and collaborating with teams to meet data needs.