Senior Data Engineer (AWS)

TL;DR

Senior Data Engineer (AWS): Designing and implementing scalable, domain-oriented data solutions for enterprise initiatives with an accent on reliable data pipelines and CDC-based architectures. Focus on building batch and streaming ingestion pipelines on AWS and optimizing data models for business-critical analytics.

Location: Bogotá, Colombia or 100% remote from Mexico

Company

hirify.global is a premier AI services provider dedicated to co-creating impact for clients through data science, AI, and technology.

What you will do

• Design and develop scalable data pipelines using AWS Glue, S3, Athena, and Step Functions.
• Build and optimize batch and streaming ingestion pipelines, including CDC-based architectures.
• Implement data models aligned with business and analytics requirements.
• Ensure data quality, reliability, and performance across all datasets and pipelines.
• Collaborate with cross-functional teams to align technical solutions with business needs.
• Leverage AI-assisted development tools to improve productivity and code quality.

Requirements

• 5+ years of experience in Data Engineering.
• 2+ years in a Lead or Senior capacity.
• Strong experience with AWS ecosystem (Glue, S3, Athena, Step Functions).
• Strong hands-on experience with Python and PySpark.
• Deep understanding of data pipeline architecture and design patterns.
• Experience implementing and scaling CDC (Change Data Capture) patterns.

Nice to have

• Strong hands-on experience with Snowflake.
• Familiarity with AI-assisted development tools.

Culture & Benefits

• Health and well-being: At-home medical assistance and private healthcare plans for Lead-level roles and above.
• Financial health: Savings incentive program with company contributions ranging from 50% to 150%.
• Educational support: Forgivable education loans subject to committee approval.
• Time off: Family Day (1 day off every semester) and 1 day off for academic graduation.
• Perks: Christmas kit delivered to all employees.