Data Engineer (Python + SQL) — Remote & Flexible Hours

AgileEngine, LLC.; Monterrey; Hybrid; MXN 1,086,000 - 1,629,000; Full time

Benefits offered by this job

Education budget

Fitness budget

Team activities

Flextime

Job summary

AgileEngine, LLC. in Monterrey, Mexico, is seeking a data engineer to build and optimize data pipelines and analytics infrastructure. You will design Snowflake data models, implement robust ETL with Airflow, and create dashboards to deliver actionable insights for business stakeholders.

Ideal candidates have 3+ years in data modeling, strong SQL and Python skills, and experience with DBT, APIs, and AWS S3. You will collaborate across teams and drive data quality and observability.

Qualifications

• 3+ years in data modeling principles/methods (Kimball)
• Strong SQL proficiency + Snowflake or similar data warehouse
• Strong Python skills for data processing
• Hands-on ETL with Airflow or similar tools
• Hands-on DBT for transformation, modeling, testing
• Experience consuming APIs and integrating with Snowflake
• Ability to develop simple Tableau dashboards
• Proficient with GitLab CI/CD workflows
• Familiarity with AWS S3
• Strong analytical and problem-solving skills
• Innovative, productivity-driven mindset and automation
• Ability to adapt to business needs and stakeholder requirements
• Excellent communication of work

Responsibilities

• Build and optimize data pipelines to ensure reliable integration and transformation.
• Design and maintain Snowflake tables and data models for analytics and reporting.
• Enhance data observability to proactively identify and resolve issues.
• Create dashboards and workflows to deliver business insights.
• Collaborate with stakeholders to ensure project transparency and success.

Skills

SQL

Python

Airflow

DBT

Snowflake

APIs

Tableau

GitLab CI/CD

AWS S3

Data modeling

Analytical thinking

Tools

Docker

Job description

AgileEngine, LLC. in Monterrey, Mexico, is seeking a data engineer to build and optimize data pipelines and analytics infrastructure. You will design Snowflake data models, implement robust ETL with Airflow, and create dashboards to deliver actionable insights for business stakeholders.

Ideal candidates have 3+ years in data modeling, strong SQL and Python skills, and experience with DBT, APIs, and AWS S3. You will collaborate across teams and drive data quality and observability.