Top Remote Data Engineer Jobs in San Francisco Bay Area
Lead the development of Large Language Models for Enterprise Language Generation at ServiceNow. Collaborate with Engineering and Product teams, build elegant architectures, architect reusable components, and influence leadership with AI strategies and advancements.
The Lead Data Specialist will supervise a team within Data Management, manage day-to-day operations, and interact with internal study teams and external end users to maintain exceptional database integrity.
Develop and improve machine learning models for customer support experiences, utilizing state-of-the-art algorithms and large language models. Collaborate with cross-functional teams to meet business needs and monitor model performance for continuous improvement.
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As an Applied Machine Learning engineer at Atlassian, you will work on the development and implementation of cutting-edge machine learning algorithms, training models, and collaborating with product, engineering, and analytics teams to integrate AI functionalities into Atlassian products. Responsibilities include designing system and model architectures, conducting model evaluations, and applying AI/ML to improve Atlassian products.
As a Professional Services Solution Architect, you will oversee client projects, develop reports and dashboards, manage a team of developers, provide training, and ensure client success in utilizing business intelligence tools like Power BI. You will work in a SaaS environment with a diverse client base and play a key role in driving business decisions through data analysis.
GoodRx is seeking a Data Engineer II to collaborate with cross-functional teams in developing and maintaining data pipelines using cloud technologies. Responsibilities include defining data specifications, deploying data processing pipelines, and analyzing large datasets. The ideal candidate has 2+ years of experience in cloud data spaces and engineering data pipelines with big data technologies.
Lead a team of developers in designing, developing, testing, implementing, and supporting technical solutions using full-stack development tools and technologies. Collaborate with product managers, data analysts, and data scientists to deliver cloud-based data solutions. Provide technical and people leadership to drive sound and well-managed solutions in a fast-paced organization. Assist in defining and executing the data strategy vision.
As the Head of Data at Square, responsible for leading Data Science, Analytics, Machine Learning, and Data Engineering teams, driving strategic direction, ensuring data governance, fostering a culture of agility and innovation, and delivering impactful insights to drive business performance.
Join Hims & Hers Health as a Senior Data Engineer to architect and develop data pipelines, maintain scalable infrastructure, design data processing pipelines, support analytics engineers and machine learning teams, and ensure data compliance and security policies.
As a Senior or Lead Big Data DevOps Engineer, responsible for setting up, scaling, and maintaining Big Data infrastructure and tools in private and public cloud environments. Drive efficiency improvements, lead architecture and design efforts, ensure availability and reliability of infrastructure, and build operational tools. Evaluate, design, and deploy monitoring tools and practices. On-call support of production systems.
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