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Builds modern full-stack products using Java 17/Spring Boot, React/TypeScript, Flutter, PostgreSQL, and cloud-native stacks (GCP/AWS) with Docker/Kubernetes.
Build and scale Checkr’s core data platform that powers identity and background checks for Uber, Airbnb, DoorDash and others, using PySpark, Kafka, AWS and modern data stacks.
Build and maintain high-performance eCommerce solutions using VTEX IO, handling both frontend and backend development in an agile team.
Build and maintain scalable data pipelines on Microsoft Azure, using Azure Data Factory, Databricks, PySpark, and Python to integrate and transform data for digital-transformation projects.
Designs and builds Azure-based ETL pipelines and data integration solutions using Data Factory, Databricks, PySpark, SQL, and Python.
Build and maintain data pipelines, models, and connectors using SQL, dbt, and cloud tools to deliver clean, standardized datasets for analytics and AI.
Build full-stack apps with React/Next.js/TypeScript on the frontend and NestJS/Express/Python on the backend, leveraging AI tools to automate workflows and accelerate development.
Builds and maintains scalable data pipelines and storage systems on AWS to feed analytics and business processes across a large Latin American retail company.
Design and standardize data models for business journeys, ensuring consistency and traceability using SQL, BigQuery, and Python in a GCP environment.
Builds the tech backbone for a Chilean PropTech startup that manages rentals, brokerage, and real-estate assets using Next.js, Supabase, and third-party APIs.
Build full-stack web apps for U.S. clients using Elixir/Phoenix backend and JavaScript frontend, collaborating daily with designers and engineers.
Senior Data Engineer builds scalable cloud data pipelines and Lakehouse architectures using Python, SQL, PySpark, and Azure for modern data projects.
Builds and maintains full-stack apps with Angular frontends, .NET Core backends, and SQL databases, integrating REST APIs and ensuring software quality.
Designs and maintains scalable data pipelines and cloud data warehouses (Snowflake/BigQuery), optimizing ETL/ELT processes and enabling self-service analytics for distributed teams.
Senior full-stack developer building and automating cloud-native pipelines, deploying scalable apps, and hardening security for a client in Santiago.
Design, build, and optimize scalable data pipelines and ETL/ELT workflows using GCP, dbt, and Airflow to integrate and process enterprise data from SAP and APIs.
Build and optimize GCP-based data pipelines and Lakehouse architecture to transform raw data into strategic business assets using BigQuery, Dataform, and Medallion model.
Build and maintain full-stack web applications using JavaScript, HTML, CSS, .NET, and Java in Santiago, Chile.
Data Engineer reviews existing SQL code and ETL pipelines to validate data flows, document technical dependencies, and ensure business rules are correctly implemented in an AI services provider's platform.
Design and build AWS-native data pipelines and warehouses, transforming raw data into insights using Python, SQL, and Terraform.
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