Ulvior
Open positions
Senior Data Engineer - GCP, BigQuery Pipelines (Hybrid)
Ulvior seeks a Senior Data Engineer for a ~2-month (extendable) hybrid project in Las Condes, Santiago: building GCP data pipelines with BigQuery and complex API integrations. Requires strong Python and SQL and good development practices; banking experience is valued. The work supports advanced analytics and AI.
Full-Stack Developer
Ulvior is hiring a full-stack developer in Chile to build and maintain low-to-medium complexity software features, fix bugs, write unit tests, document work, and join agile ceremonies. Core stack: HTML, CSS, JavaScript with React and Node.js fundamentals, basic SQL databases, Git, and API consumption.
Senior Full-Stack Developer | Node/React/NestJS | Hybrid
Senior full-stack developer leading both backend (Node.js/NestJS) and frontend (React/Next.js) development in a hybrid role in Santiago, Chile. Core stack is TypeScript with REST/GraphQL APIs on Google Cloud Platform, emphasizing clean code, testing, and documentation.
Hybrid Backend Engineer (Python) — Data Pipelines & AI
Junior backend engineer in a hybrid role in Santiago, Chile, building data-intensive services and pipelines with Python and APIs on modern cloud architectures. Uses AI-assisted development tools and works alongside senior engineers to deliver analytics for global brands.
Senior Data Engineer - GCP, BigQuery Pipelines (Hybrid)
Senior data engineer building data pipelines on GCP (BigQuery) and complex API integrations for a ~2-month project (extendable) in Chile. Hybrid role from Las Condes, Santiago; collaborates with multidisciplinary teams to enable advanced analytics and AI.
Data Engineer GCP / por Proyecto
Data engineer to design, build and maintain scalable data pipelines on Google Cloud Platform (BigQuery, Cloud Storage, Cloud Run, Cloud Scheduler) for a banking-sector project in Santiago, Chile. Hybrid role based in Las Condes; strong Python and SQL required; ~2-month project with possible extension.
Data Engineer
Data Engineer on the Data & Analytics team building the scalable, highly available infrastructure and data pipelines behind AI projects (predictive maintenance, pricing optimization, computer vision). Core stack: Python, advanced SQL, and cloud data-processing services on GCP/AWS/Azure, plus IaC, observability and monitoring.