Data Engineer

TL;DR

Data Engineer (Data Engineering): Designing and maintaining scalable data pipelines to power supply chain operations and business analytics with an accent on cleaning, transforming, and aggregating data from disparate sources. Focus on modeling complex data patterns, optimizing backend infrastructure, and enabling advanced analytics through agile development practices.

Location: Must be based in Mexico (Guadalajara)

Company

hirify.global is a software development partner for North American retail e-commerce companies.

What you will do

• Collaborate with Supply Chain teams to deliver actionable analytics
• Design, build, and maintain data pipelines using ETL technologies
• Continuously improve backend systems using agile development practices
• Model and integrate data sources to provide comprehensive views of user flows
• Develop data models to support predictions and business decisions

Requirements

• 5+ years of experience with SQL and data visualization tools
• 4+ years of experience building data pipelines using ETL
• Hands-on experience with cloud platforms (AWS or GCP)
• Strong communication skills for explaining technical concepts
• Ability to work in a dynamic, research-oriented environment

Nice to have

• Experience with Metabase, Looker, or Airflow
• Python experience
• Prior experience in Supply Chain domain

Culture & Benefits

• 100% Mexican payroll with local benefits like Aguinaldo and savings fund
• Work from home support including internet and electricity allowance
• Comprehensive leave policy including paid vacation, sick days, and parental leave
• Training and sport compensation
• English language classes