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Top Remote Data Engineer Jobs in San Francisco, CA
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As a Data Engineer, you will build and maintain data infrastructure for marketing, create data pipelines, analyze new data sources, and ensure SLAs are met. You'll collaborate with various teams to implement ETL processes and resolve data discrepancies, making improvements for efficiency and data quality.
As a Staff Data Engineer, you will lead the development of data infrastructure for marketing analytics at Square. This role involves building pipelines, translating stakeholder needs into ETL requirements, and analyzing data trends to support business reporting and decision-making.
As a Principal Data Engineer, you will lead the GTM-DE team in building a scalable data lake and enhancing data pipelines. You will convert vague requirements into concrete solutions, collaborate with stakeholders, and improve data usability and user experience.
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The Senior Machine Learning Engineer will build and deploy machine learning models for personalizing customer interactions in Cash App, partnering with product and marketing teams to enhance growth and engagement. Responsibilities include working with various ML algorithms and data analysis techniques to improve customer experiences.
As a Cloud Data & Analytics Senior Manager, you will guide clients in leveraging cloud data strategies to drive business results. Responsibilities include migrating data to cloud platforms, implementing data architectures, and leading teams to navigate complex business challenges while fostering a collaborative environment.
As a Staff Machine Learning Engineer at Cash App, you will build and integrate machine learning solutions to evaluate customer cash flow risk, support multiple products, optimize decisioning pipelines using AI/ML, and partner with cross-functional teams to leverage comprehensive customer data.
As Head of Data, you will lead and grow a team of Data Scientists, Engineers, and Analysts at Philo, working closely with various stakeholders to support data-driven decisions, build data models, run product experiments, and ensure efficient data processing across the organization.
As a Staff Machine Learning Engineer at Canva, you'll develop AI/ML strategies to enhance customer support, lead the creation of natural language understanding systems, and collaborate with teams to leverage ML capabilities while mentoring other engineers.
As a Data Analytics Engineer, you will design and maintain scalable data pipelines, automate workflows, and develop predictive models while collaborating with cross-functional teams. You'll support data governance and work with various tools to enhance analytics and reporting capabilities.
The Staff ML Infrastructure Engineer will be responsible for defining the technical vision and architecture for Thumbtack's machine learning infrastructure, leading cross-functional teams, and establishing best practices. The role includes mentoring, strategic decision-making, and aligning ML capabilities with business goals, all to support the company's AI-first approach.
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