Senior Data Engineer – BI

Trafilea Tech E-commerce Group

Senior Data Engineer architecting and scaling data infrastructure for Machine Learning at Trafilea. Designing ETL pipelines and optimizing data frameworks in a fully remote setting.

Posted 6/23/2026full-timeRemote • 🇦🇷 ArgentinaSeniorWebsite

Tech Stack

Tools & technologies

AirflowAWSETLSQL

About the role

Key responsibilities & impact

Architect and scale the data infrastructure behind our Machine Learning platform
Design the systems that turn billions of data points into production-ready models
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

Requirements

What you’ll need

2–3+ years as a Data Engineer or ML Engineer in production environments
You think in systems, not scripts
You care about scalability, cost-efficiency, and precision
You reject mediocrity — performance and reliability matter
You document your work and raise the bar for quality

Benefits

Comp & perks

100% Remote
USD competitive salary
Paid time off

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data infrastructureMachine LearningETL pipelinesBig Data technologiesSQLdata workflowsdata modelingdata qualitydata governancedata tools

Soft Skills

system thinkingscalabilitycost-efficiencyprecisionperformancereliabilitydocumentationquality improvement