Top Hybrid Data Engineer Jobs in San Francisco, CA
As a Senior Associate in Tech & Data Solutions, you will leverage advanced analytics and data visualization techniques to drive insights for clients. Your responsibilities include building tech-enabled solutions, mentoring junior members, analyzing complex problems, and maintaining professional standards while managing stakeholder expectations.
As a Deals Tech & Data Solutions Associate at PwC, you will leverage advanced analytics techniques to analyze large datasets, support clients in decision-making, and navigate multiple engagements while developing your skills in business consulting.
As a Guidewire Data Conversion Lead Manager at PwC, you will be responsible for managing data conversion projects from legacy systems, implementing data migration strategies, and designing data warehouses. You will leverage your expertise in data analytics, data modeling, and business intelligence to ensure effective data integration and synchronization.
The Principal Engineer will lead efforts in machine learning and AI, collaborating with teams to build impactful products, setting technical standards, and mentoring others. Responsibilities include hands-on development, technical leadership, and influencing hiring and coding practices.
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As a Senior Data Engineer, you will design and maintain data infrastructure for Square's Marketing team, focusing on web event data. Responsibilities include building data pipelines, translating requirements for ETL processes, analyzing data sources, monitoring pipeline performance, and improving data quality and efficiency. Your work will significantly influence business decisions and reporting accuracy.
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As a Data Science Associate Consultant, you'll develop advanced algorithms, apply statistical techniques, and analyze data trends. You'll collaborate with clients, contribute to technology assessments, and mentor junior team members, driving impactful solutions and fostering innovation.
The Senior Machine Learning Engineer at Cash App will design and enhance ML inference services, support ML model development, and collaborate with cross-functional teams to drive strategic initiatives in financial crime detection.
As a Senior Technical Sourcer for Machine Learning at Snap, you will be responsible for sourcing, screening, and engaging candidates for machine learning roles. You will work with recruiters and hiring managers to understand hiring needs, develop sourcing strategies, and enhance the candidate experience, all while managing data and hiring metrics.
Lead the Model Engineering team to develop state-of-the-art ML runtime environments, ensuring high availability and low latency for ML model deployment. Collaborate with product stakeholders to create innovative scalable platform solutions while mentoring team members and fostering a culture of inclusion and collaboration.
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 Senior Data Engineer, you will design and maintain scalable data pipelines, develop data warehouse architecture, and enable advanced analytics across the organization. You will collaborate closely with software engineers to ensure data quality, create data models, implement data governance, and develop data visualization tools, all while mentoring team members and establishing best practices.
As a Staff Data Engineer, you will drive data platform initiatives, design and optimize data architecture, and implement ETL/ELT processes for analytics and reporting, enhancing insights through machine learning and generative AI technologies.
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