Lead Analytics Engineer

TL;DR

Lead Analytics Engineer (Data/Analytics): Building and optimizing robust data pipelines and scalable analytics infrastructure with an accent on software engineering principles like version control and automated testing. Focus on leading high-impact data initiatives, managing large-scale migrations, and ensuring data quality through advanced testing frameworks.

Location: Must be based in Argentina, Brazil, Chile, or Costa Rica

Company

hirify.global is a leading education technology company providing AI-powered solutions to unlock student engagement and drive learning outcomes across K-12 classrooms.

What you will do

• Build and maintain data models and transformations using SQL and Python.
• Implement automated testing and validation checks for ETL/ELT pipelines.
• Manage large-scale data migrations within relational datastores.
• Collaborate with stakeholders to define business logic and data requirements.
• Develop tools and automation to support data infrastructure.
• Surface actionable insights to drive data-informed decision-making.

Requirements

• 8+ years of experience working with data in a software environment.
• Mastery of SQL and Python.
• Advanced experience with dbt, business semantic layers, and data cataloging.
• Proficiency with DAG orchestration tools like Airflow or Dagster.
• Experience with cloud infrastructure (AWS/GCP) and Terraform.
• Must be based in Argentina, Brazil, Chile, or Costa Rica.

Culture & Benefits

• Opportunity to impact the future of education and improve student outcomes.
• Work in a data-driven environment with modern engineering practices.
• Collaborative culture focused on meaningful learning outcomes.