Data Engineer

What is this position about? We are looking for a Data Engineer Analyst to contribute to the design and implementation of scalable, domain-oriented data solutions for a high-impact enterprise initiative.

You will work within a specific data domain — such as Ingestion, Customer Data, Enrichment, or Marketing Signals — ensuring high-quality, reliable data pipelines that power analytics and business-critical workflows. You may work 100% remotely from anywhere in Mexico!

Contribute to the design and development of scalable data pipelines on AWS (Glue, S3, Athena, Step Functions). Build and optimize batch and streaming ingestion pipelines, including CDC-based architectures. Support the design and implementation of data models aligned with business and analytics needs.

Ensure data quality, reliability, and performance across pipelines and datasets. Collaborate with cross-functional teams to align technical solutions with business requirements. Apply best practices in data engineering, including modular design, reusability, and governance.

Leverage AI-assisted development tools to improve productivity and code quality. Proactively identify risks, bottlenecks, and optimization opportunities across data workflows. Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or equivalent field.

Hands-on experience with the AWS ecosystem, including Glue, S3, Athena, and Step Functions (required). Solid proficiency in Python and PySpark for data pipeline development (required). Experience with Snowflake or similar cloud data warehouse platforms (plus).

Understanding of data pipeline architecture and design patterns. Exposure to CDC (Change Data Capture) patterns and streaming ingestion. Experience with data modeling for analytics and reporting use cases. Familiarity with AI-assisted development tools (plus).

Strong problem-solving skills and ability to work effectively in collaborative, agile environments. What about languages? English: Advanced (required for