Data Engineer (AWS)

TL;DR

Data Engineer (AWS): Building and maintaining scalable, cloud-native data platforms with an accent on ELT/ETL workflows and data modeling. Focus on designing robust infrastructure for analytics, AI, and machine learning initiatives while ensuring data quality and performance.

Location: Must be based in Latin America. Work hours: 9:00 am to 5:00 pm EST.

Company

hirify.global is a fast-growing software services company focused on building complex applications for clients while fostering a close-knit team environment.

What you will do

• Design and maintain scalable data pipelines and ELT/ETL workflows in AWS.
• Develop and optimize data models within Snowflake for analytics and AI use cases.
• Build reliable ingestion frameworks for structured and unstructured data.
• Collaborate with data scientists and engineers to support machine learning initiatives.
• Leverage Databricks and Spark to process and transform large-scale datasets.
• Implement data governance, monitoring, and observability best practices.

Requirements

• 3+ years of experience in Data Engineering or a related field.
• Hands-on experience with AWS cloud services.
• Experience designing and maintaining data solutions in Snowflake.
• Experience with Databricks or similar large-scale processing platforms.
• Strong understanding of data architecture, modeling, and warehousing.
• Ability to work cross-functionally with engineering and business stakeholders.

Culture & Benefits

• Opportunity to work on complex and compelling applications for diverse clients.
• Fast-growing, INC 5000 recognized company environment.
• Close-knit team culture with 100+ employees.
• Focus on professional growth and meaningful work.