SieveSan Francisco, CABuilds and scales data pipelines for video AI datasets, owning end-to-end projects from sourcing to delivery with ML filters and dashboards. Requires strong Python skills, clean code practices, and customer communication.
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.
Mochi Health is seeking a Data Manager to lead their Data team, driving execution across analytics, data engineering, and operational data work. This role requires strong technical depth in SQL and Python, with a focus on data quality, reliability, and compliance.