Top Data Engineer Jobs in San Diego, CA

The Vice President of Data Science at Thumbtack is responsible for leading a team of 40+ Data Scientists across various analytics domains to drive data-driven decision-making and support long-term product strategy. This role involves partnering with senior leaders in product management, engineering, and design to elevate the product development process and achieve business goals.

As an Analytics Engineer, you will create and manage reliable datasets, establish new data sources, improve the data platform's performance, and collaborate with team members to support inclusive engineering practices. You'll also contribute to technical discussions and promote a positive team culture.

The Senior Data Engineer at Spokeo will develop and optimize data technologies, build automation pipelines, collaborate with stakeholders to create data products, monitor performance, and follow data governance best practices.

As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.

As a Senior Machine Learning Engineer, you'll design and manage distributed services and pipelines for Underwriting & Credit, collaborate cross-functionally, adhere to high code quality, and mentor fellow engineers while tackling technical challenges and contributing to new machine learning applications.

The Data Engineer will work closely with Enterprise Architecture and Technology Leadership to design and implement modern data infrastructure on Azure. Responsibilities include developing data models, migrating data workloads, defining requirements for stakeholders, and collaborating throughout the entire delivery lifecycle.

The Senior Data Engineer will design and implement ETL processes in a cloud environment, develop monitoring solutions, document datasets, and collaborate with the Data Science team. This role requires building ETL processes and a strong understanding of data modeling.