FluidstackSan Francisco, CABuild software and analytics for power systems in large-scale AI data centers. Model capacity, detect anomalies, and automate event analysis using EPMS and power quality data. Requires production coding experience on power systems with electrical knowledge.
Research Engineers at Distyl build data systems and pipelines that power reliable compound AI workflows in enterprise environments. They create data quality frameworks, synthetic data strategies, and evaluation tools while partnering with researchers and customers to turn raw data into production AI value.
Software Engineer on the Datastore team building and scaling backend data infrastructure, event-driven pipelines, data models, and APIs for brain EEG data to support scientific and clinical analytics. Requires 5+ years backend experience with strong data engineering focus.
Build and maintain Confido's centralized data warehouse and analytics infrastructure. Design scalable data models, establish data standards, and enable self-service analytics across the organization.
Data Engineer building and owning Sardine's internal data platform and warehouse. Integrates GTM, product, finance, and operational data sources via ETL pipelines; owns billing infrastructure, security, and KPIs to drive executive and revenue decisions. Requires 5+ years in data engineering/analytics with Python, SQL, modern data stack (BigQuery/dbt), and tools like Salesforce/HubSpot.
Build scalable data pipelines and integrations for an AI-powered financial operating system in healthcare. Requires 5+ years data engineering experience with Python, distributed systems, AI pipelines, and big data technologies; NYC-based hybrid role.