Data Engineer

We are seeking a Data Engineer Analyst to contribute to the design and implementation of scalable, domain-oriented data solutions for enterprise initiatives, working within specific data domains to ensure high-quality, reliable data pipelines that support analytics and business workflows. The role offers the flexibility to work 100% remotely from anywhere in Mexico.

Location: Remote (Mexico)

Responsibilities

• 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.

Requirements

• 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.
• Solid proficiency in Python and PySpark for data pipeline development.
• 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.

Benefits

• Certifications in AWS, Databricks, and Snowflake.
• Access to AI learning paths and courses via Udemy Business.
• English lessons for professional communication.
• Travel opportunities for industry conferences and client meetings.
• Career development plans and mentorship programs.
• Celebrations and support for personal milestones.
• Company-provided equipment.
• Flexible working options.

Additional Information

• The role is fully remote within Mexico.
• The company is a premier AI services provider focused on data science, AI, and technology.
• Next steps involve submitting a resume or LinkedIn profile for consideration.