Top Hybrid Data & Analytics Jobs in San Francisco, CA
The Principal Solutions Architect will manage multiple project workstreams, design cloud data architectures, lead junior members, communicate with clients, and contribute to proposal developments, ensuring high-quality deliverables and client satisfaction.
The IT Operations Analyst will oversee office support and operations, manage IT assets, lead IT projects, and provide level 2 and 3 IT support. Responsibilities include maintaining IT security measures, ensuring compliance with SOC2 and ISO 27001, and supporting special events. The role requires strong troubleshooting skills and collaboration with various teams.
As a Lead Data Engineer at Windfall, you will develop and optimize data pipelines for large datasets, collaborate with data science teams to implement machine learning models, and create data services for monitoring. Your role is pivotal in building the core data asset of the organization, emphasizing strong communication and collaboration skills.
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As a Product Data Analyst at Inkitt, you will build and maintain reporting dashboards, conduct deep dives into user behavior, guide product development with insights, and support data infrastructure. You'll partner with product, engineering, and design teams, handle ad-hoc analyses, and lead experimentation efforts.
Fivetran aims to simplify access to customer data, making it readily available in warehouses without the need for engineering. They promote diversity, equity, inclusion, and offer great employee benefits. This role invites potential candidates to submit general applications.
As a Software Engineer, Data, you will build core data infrastructure for acquiring, preprocessing, cleaning, and labeling multimodal datasets for model training, enhancing the quality of the models. You'll be leading teams, managing projects, and working closely with data vendors to improve video understanding systems.
Seeking an experienced Senior Data Engineer to lead the design, development, and management of scalable data pipelines and architecture for a cell therapy manufacturing platform. Responsibilities include data pipeline implementation, collaboration with cross-functional teams, data preprocessing for machine learning models, and documentation of processes. Requirements include a Bachelor's or Master's degree in Computer Science, 6+ years of data engineering experience, proficiency in Azure services, programming skills in Python or C#, and experience in data visualization tools and data governance.
The Associate Director, Process Analytics will serve as an analytical expert within the Conjugation team, providing leadership in analytical method development, validation, and optimization for biopharmaceutical processes. Responsibilities include reviewing QC methods, analyzing manufacturing data, authoring regulatory filings, and coordinating in-process testing to ensure methods meet process requirements.
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