Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (AI): Building and optimizing scalable data solutions and pipelines for Journey Analytics with an accent on code maintainability and reusable components. Focus on refactoring legacy codebases, designing modular data models, and ensuring high-quality datasets for reporting.

Location: Guadalajara, Mexico (Flexible working options; open to candidates in LATAM)

Company

hirify.global is a premier AI services provider focused on aligning human expertise with artificial intelligence to drive innovation and meaningful impact for its clients.

What you will do

• Maintain, optimize, and automate code repositories using GitHub.
• Refactor legacy code to simplify maintenance and enable reuse across multiple use cases.
• Design and build modular, reusable code components to support journey analytics.
• Develop and manage automated data pipelines in Databricks.
• Consolidate key KPIs and metrics into standardized, scalable data models.
• Collaborate with analytics and engineering teams to improve data architecture and reliability.

Requirements

• 5+ years of experience in data engineering or similar roles.
• Strong proficiency with GitHub and version control workflows.
• Hands-on experience developing data pipelines in Databricks or Snowflake.
• Proven track record of refactoring and maintaining legacy codebases.
• Deep understanding of data modeling and reusable component design.
• Excellent written and verbal English proficiency for team communication.

Culture & Benefits

• Certifications in AWS, Databricks, and Snowflake.
• Access to AI learning paths and Udemy Business.
• Tailored study plans, courses, and professional development.
• English lessons and career mentorship programs.
• Company-provided equipment and special milestone rewards.
• Flexible working options to support work-life balance.