Top Data Engineer Jobs in San Francisco, CA
As a Data Engineering Manager, you will lead a team of data engineers to build and optimize the Ad EnGage data pipeline. This involves managing project workflows, addressing data engineering challenges, and collaborating across teams to define requirements and execute data-driven solutions.
As a Data Engineer, you will build complex data pipelines for EDO, ensuring efficient processing of large advertising datasets. You'll collaborate with Data Scientists and utilize a modern tech stack to optimize advertising outcomes, helping clients make informed decisions about their strategies.
The Director of Data Engineering will lead the optimization and scaling of Pendulum's data infrastructure, ensuring reliable data pipelines and compliance with governance standards. They will mentor a data engineering team, drive data strategies aligned with business goals, and support AI/ML initiatives.
The Lead Data Engineer will develop and optimize data infrastructure, build and maintain ETL pipelines, manage data warehouses, and collaborate with Data Science teams to support ML model deployment. The role emphasizes data integrity and the performance of data systems.
The Senior Data Science Consultant will collaborate with clients and internal teams to analyze data, build predictive models, and derive insights. Responsibilities include data acquisition, modeling, presenting findings, and contributing to internal projects while working with advanced analytics and machine learning techniques.
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The Senior Data Engineer will design and create infrastructure for real-time and batch analytics pipelines, facilitate best practices for data management, and collaborate across teams to optimize data solutions. Responsibilities include writing ETL processes, monitoring data pipelines, and enhancing data discovery to improve overall platform quality.
As a Staff Data Analyst at Aurora, you will work with engineering teams to enhance the development of the Aurora Driver by automating, monitoring, and analyzing processes. Your role includes designing metrics and dashboards, collaborating on data analytics projects, and providing data-driven insights to support decision-making.
The Data Engineer will develop, automate, and maintain scalable ETL pipelines and data frameworks. This role involves end-to-end delivery responsibilities, including performance tuning and monitoring applications, while collaborating with global teams and addressing production issues.
The Senior Data Engineer will work on building and maintaining scalable ETL pipelines, design automation frameworks, engage in data pipeline development, and mentor junior members. The role focuses on leveraging advanced machine learning to optimize data utilization and capacity management for Salesforce's infrastructure.
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Manager of Generative AI team responsible for managing and leading researchers and engineers. Leverage expertise in LLMs and generative models to create AI roadmap. Work on cutting-edge technologies and collaborate with professionals.
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Lead a team of data scientists and engineers to develop innovative measurement products and data-driven solutions, ensure high-quality project delivery, and establish best practices for data science projects. Collaborate with multiple teams to enhance TV measurement and methodology while mentoring team members and advancing an inclusive culture.
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The Data Science Manager will lead a team of Data Analysts in managing P&L for Lyft's rideshare business. Responsibilities include mentoring team members, providing analytics and insights, partnering with Data Scientists and Engineers, and presenting findings to senior leadership.
The Senior Director of Data Engineering will lead data engineering initiatives at GoFundMe/Classy, overseeing the development of data pipelines and analytics tools. Responsibilities include collaborating with stakeholders, managing a team of data engineers and analysts, and driving best practices in data management and continuous improvement. Additionally, they will develop key product metrics and foster a culture of innovation.
Top Companies in San Francisco, CA Hiring Data + Analytics Roles
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