Data Engineer (Middle/Senior) ID32276

AgileEngine, LLC.; Monterrey; On-site; MXN 420,000 - 640,000; Full time

Job summary

AgileEngine in Monterrey, Mexico seeks a Data Engineer to build scalable data pipelines and analytics platforms for business insights.

You will design Snowflake data models, develop ETL with Airflow and DBT, and deliver dashboards while partnering with stakeholders to drive data-driven decisions. This role emphasizes learning, experimentation, and impact across Fortune 500 clients.

Qualifications

• +3 years experience in data modeling, Kimball methods.
• Strong SQL skills and Snowflake experience.
• Strong Python for data processing and automation.
• ETL pipelines using Airflow or similar tools.
• DBT for data transformation, modeling and testing.
• Experience consuming APIs and Snowflake integration.
• Ability to develop simple Tableau dashboards.
• Proficiency with GitLab CI/CD workflows.
• Familiarity with AWS S3.
• Strong analytical and problem-solving skills.
• Innovative mindset to automate processes.
• Excellent stakeholder communication.

Responsibilities

• Build and optimize data pipelines for reliable integration.
• Design and maintain Snowflake tables and data models.
• Enhance data observability to identify issues early.
• Create dashboards and workflows to deliver insights.
• Collaborate with stakeholders to ensure project success.

Skills

SQL

Snowflake

Python

Airflow

DBT

APIs

GitLab CI/CD

AWS S3

Data modeling

Communication

Analytical thinking

Problem solving

Adaptability

Tableau

Tools

Airflow

DBT

GitLab CI/CD

Snowflake

Docker

Job description

Monterrey, Mexico | Posted on 03/06/2025

AgileEngine is one of the Inc. 5000 fastest-growing companies in the U and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed!

What you will do

• 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.

Must haves

• +3 years of experience in data modeling principles/methods, especially Kimball ;


• Strong proficiency in SQL and experience working with Snowflake or similar cloud-based data warehouses;


• Strong proficiency in Python for data processing and automation;


• Hands-on experience building ETL pipelines using Apache Airflow or similar orchestration tools;


• Hands-on experience using DBT for data transformation, modeling, and testing;


• Strong experience consuming APIs and integrating data with Snowflake;


• Ability to develop simple Tableau dashboards;


• Proficiency in GitLab CI/CD workflows for continuous integration and deployment;


• Familiarity with AWS services, especially S3 ;


• Strong analytical and problem-solving skills;


• Innovative and productivity-driven mindset – willingness to improve and automate processes;


• Ability to adapt to business needs and stakeholder requirements;


• Ability to communicate work clearly;

Nice to haves

• Basic knowledge of local development using Docker;


• Tableau or any BI development experience.

The benefits of joining us

Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.