Top Remote Senior Level Data Engineer Jobs in San Francisco Bay Area, CA
The Staff Machine Learning Engineer will leverage AI to create tools to enhance engineering productivity at Block. Responsibilities include developing a scalable AI platform, collaborating with teams to improve internal workflows, and driving AI strategy across the organization.
As a Senior Machine Learning Engineer in the Conversational AI team, you will lead machine learning projects, automate and optimize features, collaborate with business leaders, and advocate for best engineering practices. You will utilize your expertise in machine learning and generative AI to build intelligent products and drive the end-to-end project lifecycle.
As a Guidewire Data Conversion Lead and Manager, you will guide a team to resolve complex business issues, coach team members, and leverage data insights to inform decisions. You will manage data conversion processes from legacy systems, focusing on data analytics, migration performance, and business intelligence solutions.
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As a Senior Data Engineering Manager, you'll lead a team responsible for developing analytical and operational data products, optimize team efficiency, and mentor team members for career growth within Atlassian's Agile and Dev Ops organization.
As a Principal Data Engineer at Atlassian, you will lead the development of scalable datasets and data pipelines, manage analytical data models across various business functions, and enhance data-driven practices within the organization. Your role includes optimizing data storage and retrieval, utilizing advanced analytics tools, and fostering a data-driven culture.
Join Instacart as a Senior Data Engineer in Finance, where you'll build and maintain critical data pipelines for financial reporting. You'll work with SQL and Python, collaborate with various teams, and have significant ownership over processes while ensuring high-quality solutions are delivered swiftly.
As a Senior Machine Learning Engineer, you will design and build large-scale ML systems, collaborate with various teams, and evaluate ML performance to meet business objectives, directly impacting user experiences.
As Director of Data Science and AI, you will lead a diverse team of Data Scientists, Machine Learning Engineers, and Data Analysts. Your role involves finding AI opportunities, overseeing the design and deployment of ML solutions, and collaborating with product and engineering leaders. You will guide your team towards project objectives and contribute strategically to the company's goals.
The Data Engineer will design, implement, and maintain data infrastructure for business intelligence and analytics, focusing on ETL/ELT processes. Responsibilities include building data pipelines, optimizing workflows, ensuring data quality, and supporting BI tools, while working closely with cross-functional teams.
In this role, you will build AI and Machine Learning solutions to enhance user experiences and workflow efficiency in enterprise services, collaborating with teams to deliver high-quality cloud-based software.
As a Senior Software Engineer on the ML Platform team, you'll build and maintain software applications for machine learning model deployment and process automation. The role includes developing tooling and infrastructure for research scientists, enabling rapid model experimentation, and ensuring automated, repeatable processes for model training and deployment.
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