Top Lead Data Engineer Jobs in San Francisco, CA

The Lead Data Engineer will develop robust data pipelines and solutions, ensuring data integrity and accessibility while collaborating cross-functionally within GoodRx.

As Lead Data Engineer, you will guide a team, manage the data platform, and oversee the development of ML infrastructure and feature stores.

As a Lead Software Engineer, you'll design and develop core data connectivity systems for the Zeta Marketing Platform, focusing on scalable integrations and high-performance data pipelines, while leading a team and ensuring engineering excellence.

Design and maintain high-scale data infrastructure, build ETL pipelines, integrate data sources, optimize performance, and collaborate with data scientists.

As a Lead Data Engineer, you will design and maintain data platforms, oversee data ingestion pipelines, enforce standards, collaborate on solutions, and ensure best practices in healthcare data operations.

The Lead Data Engineer will design and deploy AI/ML systems, automate data pipelines, and collaborate with multiple teams to support Salesforce's marketing goals.

The Lead Data Engineer/Architect designs and implements GCP solutions, focusing on data pipelines, architecture, and leadership in a client-facing role.

As Lead Data Engineer, you will design and build Benepass's data infrastructure, partner with teams to deliver data capabilities, and set the vision for data engineering. You'll ensure data governance and manage pipelines in an AWS environment while preparing for future team growth.

The Lead Data Engineer will manage the AI Data Platform, scale data pipelines, ensure data quality, and lead technical strategy for data initiatives.

The Lead Data Engineer is responsible for designing, developing, and maintaining ETL pipelines to manage financial data, ensuring compliance and business intelligence.

Seeking a Software Engineer with 7+ years in backend development to own and operate large-scale distributed services using technologies such as Java, Python, and Apache projects.

Lead a team of data engineers to develop software solutions, mentor team members, and ensure compliance with standards while using innovative cloud technologies.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

The Lead Data Engineer will onboard customers to the data warehouse, analyze data use cases, and implement improvements using modern cloud-native technologies. Responsibilities include collaborating with various teams, ensuring data quality, and automating processes for efficient analytics and infrastructure designs.

Design and develop financial trading applications using Java, manage multi-threaded backend components, troubleshoot issues, and mentor junior engineers.

The Lead Data Engineer will own the data platform, ensuring data quality, optimizing infrastructure, mentoring engineers, and collaborating with teams to create scalable data solutions.

The Lead Data Engineer will design and build scalable data pipelines and infrastructure for trading analytics, overseeing data architecture and collaborating with cross-functional teams.

As a Lead Software Engineer, you will modernize the core data ecosystem, manage data pipelines, and oversee system design and architectural solutions.

Lead a team to design and implement large-scale backend services for data processing using Spark and Hadoop, ensuring high reliability and performance in a collaborative environment.

As Staff Engineer, you will lead a data engineering team, architect data pipelines, mentor engineers, and optimize performance while ensuring system reliability and adherence to standards.

Lead fullstack applications and data systems for Yahoo Search, overseeing technical direction, coach engineers, ensure code quality, and collaborate on scalable solutions.

Lead the development of internal tools and infrastructure to enhance productivity for the pre-training data team, focusing on developer experience and best practices in code organization.

The Senior Data Engineer will build and deploy data pipelines, develop warehouse architectures, and design analytics solutions for the team.

As a Forward Deployed Engineer, you will design scalable data pipelines, optimize code for data processing, and collaborate with AI teams to meet their data needs.

As a Principal Data Engineer, you will lead efforts to modernize data systems, create data pipelines, implement observability frameworks, and collaborate across teams to enhance data strategy and analytics.