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Data Engineering Associate
Build and maintain cloud data pipelines for a global bank, migrating on-premise systems to the cloud and supporting PowerBI reporting for Caribbean teams.
Senior Data Developer (Analytics Engineer), Colombia
Build and own end-to-end data products—ingesting, modeling, and validating data—so AI and analytics teams can deliver accurate, business-ready insights and solutions.
Senior Platform Architect & Data Engineering Lead
Define platform architecture and lead data engineering for a fintech company, designing scalable systems and setting engineering standards while mentoring engineers.
Data Engineer (Senior) – BI & Data Analytics (Argentina or Uruguay)
Senior Data Engineer designs and builds scalable data pipelines, warehouses, and analytics models for enterprise clients using cloud platforms like Azure, AWS, or GCP.
Full Stack Engineer: Menu Platform & AI-Driven Backend
Builds and maintains a TypeScript-based menu platform backend with Node.js/NestJS and React, integrating pricing, promotions, and ordering features.
Senior Full-Stack Engineer: PHP CMS & Vue 3, Remote
Builds backend features for a compliance-focused PHP CMS platform and integrates them with a Vue 3 frontend, modernizing a large-scale codebase.
Senior Full-Stack Engineer: Own a Live, AI‑Driven Platform
Senior full-stack engineer building and maintaining a live AI-driven platform using Python backend APIs, modern frontend frameworks, and scalable databases with Temporal workflows.
Senior Data Engineer - Real-Time Data & Platform Expert
Designs and maintains real-time data pipelines and BI systems using SQL, Snowflake, DBT, and Kafka to deliver analytics for a global client base.
Senior Data Engineer - ETL/Node/GCP
Build and optimize scalable data pipelines and services for e-commerce platforms using Node.js, GCP, and Kubernetes to power analytics, personalization, and real-time systems.
Data Engineer (Azure) - Remote, Latin America
Design and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to move and transform data for analytics and reporting.
Microsoft Fabric Senior Data Engineer
Design and build scalable data pipelines and lakehouse architectures using Microsoft Fabric, Azure Databricks, and Spark to enable robust analytics and reporting for a global packaging leader.
Data Engineer Sr- Remote Latam – ID #00199
Senior Data Engineer to design, build, and optimize data pipelines and warehouses, migrating 1,000 pipelines to Snowflake using Talend, Active Batch, Docker, and GitHub.
DATA ENGINEER/DBA – Remoto Latam ID #00289
Build and optimize cloud data pipelines and databases using SQL, Python, and Azure tools to support analytics and reporting for clients.
Remote Azure Data Engineer - ETL & Analytics
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL, design data warehouses, and ensure reliable data flows for analytics.
Snowflake Data Engineer: Dimensional Modeling Pro
Designs and builds Snowflake-based data warehouses using SQL and dimensional modeling to create reporting-ready datasets for enterprise analytics.
Senior Full Stack Engineer (CMS PHP + Vue)
Builds and maintains PHP-based CMS modules and workflow integrations, supports Vue 3 frontend integration, and delivers backend features in a compliance-focused platform.
Azure Data Engineer — ETL & Synapse Optimization
Designs and optimizes ETL pipelines in Azure Synapse using PySpark, ensuring scalable data integration and governance for analytics and reporting.
Senior Data Engineer - SAP Data Platform (Snowflake/Databricks)
Designs and builds cloud data pipelines in Snowflake and Databricks to feed analytics and AI workloads, using Python, SQL, AWS, and dbt.
Azure Data Engineer - Remote, Flexible Hours, Global Impact
Design and implement Azure-based data pipelines using Data Factory, Synapse Analytics, and Microsoft Fabric, with Power BI integration for reporting.
Data Engineer, Azure - Remote, Latin America
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL, design data warehouses, and ensure data quality for enterprise clients.