Top Data Engineer Jobs in San Francisco, CA
As a Senior Data Engineer, you'll design and maintain ETL pipelines for healthcare data, optimizing architecture, ensuring data quality, and implementing security measures. You will mentor junior engineers, troubleshoot data issues, and document processes while collaborating with various teams to meet data requirements.
As a Staff Data Architect at Credit Karma, you will design and implement scalable data solutions for the 360 Member Financial Profile, collaborate with stakeholders to understand their needs, enforce data architecture standards, and optimize data infrastructure for efficiency.
As a Senior Data Engineer, you will design, develop, and maintain complex data pipelines, focusing on flexibility and developer experience. Responsibilities include collaborating with teams to enhance machine learning capabilities, ensuring data quality, and mentoring junior engineers while improving the system architecture and performance.
Featured Jobs
.png)
The Financial Analytics Engineer will enhance data and analytics infrastructure, focusing on fund planning, portfolio construction, and performance analysis. They will design scalable data pipelines, collaborate on LLM solutions, and ensure seamless data operations with cross-functional teams.
As a Data Engineer at Brex, you will transform raw data into actionable insights, design and maintain data models and pipelines, collaborate with teams, and ensure data quality for analysis. You will also integrate data sources and establish standards across the organization.
The Sr. Global Privacy and Data Protection Counsel at Pendo will oversee global data privacy needs, ensure compliance with privacy regulations, lead legal activities related to Pendo’s privacy program, and provide counsel to various business units. The role requires collaboration with product and engineering teams, as well as training the legal department on data privacy regulations.
As a Data Engineer at Figma, you will own and scale data pipelines, work with Data Science and Infrastructure teams, and ensure efficient data delivery for various stakeholders. Responsibilities include optimizing data models, establishing best practices, and simplifying complex data-related issues for diverse audiences.
As a Senior Data Engineer, you will build and maintain data pipelines, working closely with various teams to support analytics needs. You'll participate in architectural decisions and promote best practices for data processing and modeling, influencing the company’s data systems and operations.
The Senior Data Engineer will design, develop, and maintain complex ETL pipelines using SQL and PySpark, focusing on processing time-series data and ensuring data quality. The role involves collaborating with product stakeholders and contributing to the production of data products.
Seeking an experienced Senior Data Engineer to lead the design, development, and management of scalable data pipelines and architecture for a cell therapy manufacturing platform. Responsibilities include data pipeline implementation, collaboration with cross-functional teams, data preprocessing for machine learning models, and documentation of processes. Requirements include a Bachelor's or Master's degree in Computer Science, 6+ years of data engineering experience, proficiency in Azure services, programming skills in Python or C#, and experience in data visualization tools and data governance.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
