Top Lead Data Engineer Jobs in San Francisco, CA

The Lead Data Engineer will design and build the data warehouse, develop ETL/ELT pipelines, and establish data governance and quality practices while building a team to support data-driven growth.

The Lead Data Engineer will design, develop, and maintain ETL pipelines, ensuring effective data extraction, transformation, and loading from various sources, while collaborating with stakeholders and solving complex business issues.

Seeking an ETL Engineer to design and maintain ETL pipelines, troubleshoot issues, and contribute to the data engineering team, working with various data sources and ensuring compliance with financial regulations.

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

Design and build Spark ETL pipelines on an AWS data platform, collaborate with stakeholders to deliver reliable large-scale data products, optimize and maintain data infrastructure, ensure data quality/governance, and manage platform operations and incident response.

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

The Lead Data Engineer will architect and develop a healthcare data platform on GCP, guiding teams in pipeline development, data modeling, and ensuring compliance with HIPAA. They will collaborate across functions, set technical directions, and mentor junior engineers.

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 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.

Build and maintain Lead-to-Opportunity Salesforce solutions, integrations, and data enrichment workflows. Troubleshoot production lead capture/routing issues, document processes, and collaborate cross-functionally to support GTM pipeline creation and lifecycle engagement.

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 Technical Lead will build software systems for AI-native drug discovery, design data pipelines, develop APIs, and collaborate with scientists to create efficient workflows and solutions.

Lead the reliability of the data platform, ensuring accuracy in data pipelines from ingestion to reporting, while mentoring junior data engineers.

Lead the design and scaling of Serve's robotics data infrastructure, managing the lifecycle of data and mentoring engineers to enable real-time analytics and operations.

The Lead Full Stack Engineer will oversee software development lifecycle phases and lead a team of developers in migrating a Mainframe system to the Cloud.

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.

Lead the Web Data Acquisition team as a Principal Software Engineer, responsible for designing web crawling infrastructure and mentoring engineers.

Lead and own the data science function: design and build production ML systems (recommendation, forecasting, segmentation), develop configurable multi-tenant models, run rigorous experimentation and causal analyses, connect model outputs to business impact, set scientific standards, and hire and mentor a high-velocity data science team.

The Lead Data Consultant will design and deliver scalable data solutions, manage project teams, and optimize client data environments, ensuring effective project execution and communication.

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.

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 Senior Software Engineer, you'll architect systems, develop ETL pipelines, and design data models to support blockchain data analysis at petabyte scale. You'll collaborate with teams to enhance product offerings while ensuring high performance and availability.

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.