Senior Data Engineer (BI - LATAM-Based Only)
Confidential
Posted: May 12, 2026
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Quick Summary
As a Senior Data Engineer at Trafilea, you will work on designing, developing, and deploying data pipelines for our AI Growth Engine, ensuring scalability and reliability.
Required Skills
Job Description
About Trafilea
Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands.
With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands.
We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint.
Why Trafilea
We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.
🚀 We build and scale our own brands.
🦾 We invest in AI and automation like few others in eCom.
📈 We test fast, grow fast, and help you do the same.
🤝 Be part of a dynamic, diverse, and talented global team.
🌍 100% Remote, USD competitive salary, paid time off, and more.
Job Responsibilities
We’re looking for a Senior Data Engineer to architect and scale the data infrastructure behind our Machine Learning platform. You won’t just maintain pipelines. You’ll design the systems that turn billions of data points into production-ready models powering global consumer brands.
• Architect and scale advanced ETL pipelines using modern Big Data technologies
• Design resilient data frameworks across the full lifecycle: extraction → transformation → ML modeling
• Lead the development of Airflow-driven data workflows
• Optimize large-scale datasets and complex SQL queries
• Operationalize machine learning models in batch and real-time environments
• Improve cost-efficiency and scalability across our AWS data ecosystem
• Elevate data quality standards with strong governance and monitoring systems
• Build internal data tools that empower Marketing Science & Analytics teams