Data Engineer (Middle/Senior) ID32276

AgileEngine, LLC.; Puebla de Zaragoza; On-site; MXN 1,629,000 - 2,172,000; Full time

Benefits offered by this job

Mentorship

TechTalks

Education budget

Fitness budget

Team activities

Exciting projects

Fortune 500 clients

Flextime

Remote-friendly option

Office option

Job summary

AgileEngine, LLC. in Puebla, Mexico is seeking a data engineer to build and optimize data pipelines, design Snowflake models, and deliver actionable insights for business stakeholders. You will collaborate with teams to ensure reliable data integration, observability, and dashboards, using SQL, Python, Airflow, DBT, and Tableau.

The role offers flexible work options and competitive USD-based compensation. The candidate will work closely with cross-functional teams to accelerate data-driven

Qualifications

• 3+ years of experience in data modeling (Kimball)
• Proficient in SQL with Snowflake or similar
• Proficient in Python for data processing
• Hands-on ETL with Airflow or similar
• Hands-on with DBT for data transformation
• Experience consuming APIs and integrating data with Snowflake
• Ability to build simple Tableau dashboards
• Proficient in GitLab CI/CD workflows
• Familiar with AWS S3 services
• Strong analytical and problem-solving skills
• Willingness to automate processes
• Ability to adapt to stakeholder requirements
• Clear work communication

Responsibilities

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

Skills

Data modeling

SQL

Python

Airflow

DBT

Snowflake

APIs

Tableau

GitLab CI/CD

AWS S3

Problem solving

Communication

Tools

Docker

Tableau

Job description

Puebla (Heroica Puebla), Mexico | Posted on 03/06/2025

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.

Next Steps After You Apply

The next steps of your journey will be shared via email within a few hours . Please check your inbox regularly and watch for updates from our Internal Applicant site, LaunchPod , which will guide you through the process.