Analytics Engineer

TL;DR

Analytics Engineer: Designing, developing, and maintaining data infrastructure and analytics solutions with an accent on ETL processes, data modeling, and performance optimization. Focus on building scalable data pipelines using DBT, ensuring data quality, and collaborating with cross-functional teams to drive data-informed decision-making.

Location: Must be based in Latin America (Remote)

Company

hirify.global helps U.S. companies build and scale world-class AI, ML, and Data teams by connecting top-tier talent in Latin America with high-impact projects.

What you will do

• Design, develop, and maintain data pipelines, data models, and ETL processes.
• Translate business requirements into scalable analytics solutions.
• Ensure data quality, accuracy, and consistency through monitoring and validation techniques.
• Optimize efficiency and performance of data infrastructure.
• Implement CI/CD best practices for analytics code.
• Collaborate with data scientists and analysts to support models and visualizations.

Requirements

• 5+ years of experience in data analytics or analytics engineering.
• Strong proficiency in Python, SQL, and T-SQL.
• Extensive experience with Azure Data Factory, Synapse Analytics, or Snowflake.
• Proven ability to perform advanced, modular SQL transformations using tools like DBT.
• Experience with data visualization tools, specifically PowerBI.
• Excellent verbal and written communication skills in English.

Culture & Benefits

• Equity participation opportunities.
• Annual company retreat and optional in-person events.
• Education bonus for continuous learning and professional growth.
• Paid time off and company-wide winter break.
• High-performance, transparent culture with a focus on ownership and authenticity.