Top Data Engineer Jobs in San Francisco Bay Area
GoodRx is looking for a Sr. Data Engineer II to work on building data pipelines and processes, collaborating with teams to guide business decisions, and making smart engineering decisions based on data auditing. The role involves improving infrastructure scalability, efficiency, and reliability.
The Staff Data Engineer at Square Banking will work on building a Financial Data Mesh Platform using real-time Big Data technologies. Responsibilities include designing data processing systems, building core datasets, addressing data quality issues, and collaborating with cross-functional teams to accelerate decision-making processes.
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Seeking a Senior Machine Learning Engineer to contribute to shaping the future of ML/AI at TaskRabbit. Responsible for building scalable ML infrastructure, pipelines, monitoring services, and collaborating with engineering teams. Requires 3+ years of experience and expertise in Python.
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Develop and implement machine learning models for fraud detection, analyze large datasets, collaborate with cross-functional teams, monitor and evaluate model performance, and stay up-to-date with the latest machine learning and fraud detection techniques.
Research, design, and build high-impact end-to-end machine learning systems for customer growth. Partner with cross-functional teammates in Product, Design, Content, and Marketing to understand their problems and design solutions. Lead the design of scalable ML solutions in production. Promote and role-model best practices of data science, engineering, and communication throughout the organization. Evangelize ML adoption and innovation across the product and engineering teams. Foster a diverse community of data scientists and ML engineers.
Machine Learning Engineer specializing in NLP to join the Responsible AI team at Grammarly. Develop and implement new ML solutions to improve safety and fairness of Grammarly products.
As a Senior Analytics Engineer at Calm, you will lead the development of scalable data models for both internal and external data products. You will collaborate with various teams to design and build data models, inform key decision makers through data insights, and drive strategic decisions through data-driven analysis. Your role will involve developing, testing, and documenting core data models to support business success.
Design and develop data models in Snowflake with DBT for internal business partners. Write advanced SQL queries for ELT and data warehousing. Collaborate with teams to drive projects and promote self-service reporting. Ensure data governance, security, and privacy best practices are followed. Experience with GitHub, SQL, Python, and Power BI.
Join GRAIL as a Staff Data Engineer to support data needs in clinical and research activities, enhance data infrastructure, and contribute to early cancer detection efforts. Collaborate on data infrastructure, tools, and automation to streamline operations and ensure high standards of quality, compliance, and privacy.
Design, build, evaluate, deploy and iterate on large scale Machine Learning systems. Understand and optimize the user experience at all stages of the user journey. Work with Product, Design, Infra, and Frontend teams to bring models and features to life. Evaluate the performance of machine learning systems against business objectives.
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