Python & SQL Data Engineer (Middle/Senior) ID32276

AgileEngine, LLC.; Argentina; Remote; ARS 121,271,000 - 181,906,000; Full time

Job summary

AgileEngine, LLC. is seeking an experienced data engineer to build and optimize data pipelines, design Snowflake tables and data models, and deliver business insights through dashboards.

The role emphasizes data observability, API integration, and collaboration with stakeholders to ensure project success. Flexibility in scheduling and remote-friendly options are offered, with USD-based compensation.

Qualifications

• +3 years of experience in data modeling principles/methods, especially Kimball.
• Strong proficiency in SQL and experience 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.
• Experience consuming APIs and integrating data with Snowflake.
• Ability to develop simple Tableau dashboards.
• Proficiency in GitLab CI/CD workflows for CI/CD.
• 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.

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

Snowflake

Airflow

DBT

Tableau

GitLab CI/CD

AWS S3

APIs

Data Modeling

Tools

Docker

Job description

JOSE MARTI, Argentina | Posted on 03/11/2025

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.