Data Engineer - Remote

Overview

At EX Squared LATAM, we connect top analytics and engineering talent across the region with innovative, data-driven projects. We’re looking for a Data Engineer who excels at building clean, scalable, analytics-ready datasets — ideally with experience in e-commerce data models. This is a high-impact, high-autonomy role, contributing directly to a major data platform migration and the evolution of a modern analytics ecosystem.

In Short

• Design and maintain high-quality data models that transform raw data into analytics-ready datasets.
• Model e-commerce data (customers, orders, products, transactions) for reporting and analytics needs.
• Build, optimize, and document SQL transformations that power dashboards and decision-making.
• Work within a lakehouse environment (Databricks, Snowflake, BigQuery, Redshift) to structure and orchestrate scalable data pipelines.
• Ensure continuity and data quality when source systems or schemas evolve.
• Collaborate with analysts and engineers to translate business requirements into reliable data structures.
• Improve performance, documentation, and testing coverage across the data modeling ecosystem.
• Support BI and reporting layers by delivering well-designed, well-tested datasets.

Requirements

• 3+ years of experience in analytics engineering, data engineering, or similar roles (flexible with equivalent skill level).
• Advanced SQL — efficient, maintainable, and production-ready.
• Experience with Databricks, Snowflake, BigQuery, Redshift, or similar lakehouse/warehouse platforms.
• Understanding of dimensional modeling and data warehouse best practices.
• Experience working with e-commerce data models or operational datasets.
• Ability to communicate clearly, work autonomously, and make pragmatic technical decisions.
• Familiarity with modern data workflows, documentation, and testing practices.
• Strong plus (not required): experience working with Shopify data (customers, orders, products, transactions).
• Nice to have: dbt, BI tools, cloud infrastructure (Azure/AWS).

Benefits

• Competitive USD compensation aligned with technical seniority.
• 100% remote work from anywhere in Latin America.
• Flexible schedules and a people-first culture.
• Opportunities for continuous learning, engineering growth, and hands-on work with modern data technologies.