AlchemySan Francisco, CABuilds and owns canonical data models in Snowflake and dbt transformation layer to serve as company-wide source of truth for AI tools and teams across Finance, Marketing, Sales, Product, and Data Science. Requires 6+ years data engineering with strong SQL and Snowflake expertise.
Own end-to-end high-quality dataset creation pipelines for voice AI agents, from data synthesis and scraping to annotation workforce management, cleaning, analysis, and linguistic preference judgment. Requires 2+ years in computational linguistics or language data, strong scripting skills, and native English linguistic judgment.
Decagon is seeking a Senior Data Infrastructure Engineer to design, build, and operate data systems for their AI products. This role involves owning critical data pipelines and storage layers, improving reliability and performance, and creating paved paths for engineers to work with data at scale.
As a Senior Data Infrastructure Engineer, you will design, build, and operate data systems for Decagon's AI products, owning critical data pipelines and storage layers. You will improve reliability and performance, and enable engineers to work with data at scale.
Leads design and evolution of analytics infrastructure for research reporting, owning pipelines, datasets, and platform standardization. Collaborates with data scientists using Python, SQL, distributed engines like Presto/Spark. Requires 6+ years in data infrastructure.
Builds and maintains a high-quality data platform delivering Forge data to clients, implementing features with agile methodologies. Requires 3-5+ years in TypeScript/C#/Java/Python, React, modern data architectures, CI/CD, AWS, and SQL databases; hybrid in Soho, NY.