Top Remote Data Engineer Jobs in San Diego, CA
As a Staff Data Engineer at Ivans, you will design and implement scalable data pipelines using cloud-native technologies, optimize data infrastructure, support BI product development, and collaborate with stakeholders to ensure successful project outcomes. Additionally, you will implement data governance tools and automate data workflows for reliable operations.
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.
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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.
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.
As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.
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As an Enterprise Data & Analytics Product Owner at Amplitude, you will lead the roadmap development for the enterprise data warehouse, collaborate with various teams to gather and document business requirements, optimize data models for business processes, manage project timelines, and oversee user acceptance testing to ensure alignment with business needs.
The Azure Data Engineer will provide technical expertise in developing and supporting data solutions, utilizing tools like Microsoft Fabric and Power BI. Responsibilities include ETL process development, operational data store design, implementing data improvement processes, supporting business intelligence solutions, and collaborating with stakeholders to meet data-related needs.
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