Data Engineer (Analytics/Modeling)

Role Overview

This role is centered on building and evolving a modern, high-performance data platform that powers analytics across a global marketplace ecosystem. You will work on transforming legacy data workflows into scalable, production-grade data models that enable reliable, real-time insights for business-critical decision-making.

What You Will Do

Design, build, and maintain scalable data models and pipelines supporting analytics and marketplace intelligence use cases. Transform legacy ETL workflows into modern ELT processes using tools such as dbt and cloud-native architectures.

Why It Might Be a Fit

This is a high-impact role ideal for engineers passionate about data modeling, analytics engineering, and modern data stack architectures. You will collaborate with cross-functional teams to ensure analytics datasets are accurate, accessible, and production-ready.

Requirements

• 3–5+ years of experience in data engineering, analytics engineering, or advanced data-focused roles
• Strong expertise in SQL for complex transformations, debugging, and performance optimization
• Hands-on experience with Python for data processing, automation, and pipeline development
• Proven experience working with Snowflake or similar cloud data warehousing platforms
• Practical experience building ELT pipelines using dbt in production environments
• Familiarity with AWS cloud services such as S3, EC2, or related data infrastructure tools
• Strong understanding of data quality, validation, and reliability engineering principles

Benefits

• Fully remote work from anywhere in LATAM
• Contract-based full-time engagement with international teams
• Exposure to modern data stack technologies (Snowflake, dbt, Dagster)
• Opportunity to work on large-scale marketplace analytics systems
• Collaboration with experienced engineers and global technology experts
• Strong focus on technical excellence and continuous learning
• High-impact role influencing data-driven decision-making across business units