Top Hybrid Data Engineer Jobs in San Francisco Bay Area
Responsible for designing, building, and managing distributed services and pipelines for Underwriting & Credit at Cash App. Lead impactful projects, ensure high code quality, collaborate with cross-functional teams, and contribute to development capabilities through mentoring.
Build and integrate ML solutions for evaluating customer cash flow risk, supporting multiple products, empowering teams, and experimenting with modeling techniques on comprehensive customer data.
As a Senior Data Operations Specialist at ServiceNow, you will be responsible for evolving the foundational Data services and capabilities for AI and Machine Learning solutions. You will collaborate with AI Product Managers and engineers, troubleshoot data requests and issues, and ensure excellent support to the business units.
GoodRx is hiring a Principal Data Engineer to lead the design and development of enhanced data pipeline services, collaborate with teams to build data pipelines, mentor team members, and architect cloud-based data infrastructure solutions.
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As a Machine Learning Engineer on the Marketing Technology team, you will transform the way marketing is done at Grammarly. You will improve data-driven decision-making, enhance customer experiences, and optimize marketing campaigns.
The Senior BI Engineer will be responsible for designing and building scalable BI platforms and customizable business-ready datasets. They will empower teams to make data-driven decisions and improve products and services. The engineer should have a deep understanding of big data and experience in creating semantic layers and self-service BI analytics.
Senior Solutions Architect role within the Enterprise Technology function, responsible for shaping the strategy, architecture, design, and implementation of scalable solutions for the Data Intelligence team. Requires strong technical skills, business acumen, and the ability to lead presentations and mentor junior team members.
Design and implement cutting-edge machine learning algorithms for multimodal data to shape the future of AI-driven creation at Roblox
As a Machine Learning Engineer on the Banking & SFS team at Block, you will support Data Scientists in building and deploying machine learning models for banking and lending products. This role involves implementing modeling approaches, utilizing data science techniques, and collaborating with cross-functional teams.
The Machine Learning Engineer at ZS will be responsible for building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, enhancing ML engineering platforms, implementing ML Ops, writing production-ready code, collaborating with client teams, and researching and evaluating new technologies.
Snap Inc. is looking for a Machine Learning Engineer to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building lasting and scalable products. Strong machine learning understanding and prior experience developing machine learning models are required.
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