Remote Data Engineer: Snowflake, Python & ETL

AgileEngine, LLC.; Mar del Plata; Hybrid; ARS 136,430,000 - 197,065,000; Full time

Benefits offered by this job

Mentorship and TechTalks

Growth roadmaps

Education budget

Job summary

AgileEngine is seeking a data engineer to build and optimize data pipelines, design Snowflake tables, and deliver analytics-ready models for stakeholders. You will create dashboards, improve observability, and collaborate across teams to drive data-driven decisions.

The role emphasizes hands-on ETL development with Airflow and DBT, strong SQL and Python skills, and experience with AWS S3 and Tableau to deliver reliable business insights.

Qualifications

• 3+ years of experience in data modeling principles, preferably Kimball.
• Strong SQL skills and experience with Snowflake or similar cloud data warehouses.
• Proficiency in Python for data processing and automation.
• Hands-on experience building ETL pipelines with Apache Airflow or similar tools.
• Hands-on experience using DBT for data transformation and testing.
• Experience consuming APIs and integrating data with Snowflake.
• Ability to develop simple Tableau dashboards.
• Experience with GitLab CI/CD workflows for CI/CD.
• Familiarity with AWS services, especially S3.
• Strong analytical and problem-solving abilities.

Responsibilities

• Build and optimize data pipelines for 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

Tableau

GitLab CI/CD

AWS S3

Data modeling

Tools

Snowflake

Docker

Job description

AgileEngine is seeking a data engineer to build and optimize data pipelines, design Snowflake tables, and deliver analytics-ready models for stakeholders. You will create dashboards, improve observability, and collaborate across teams to drive data-driven decisions.

The role emphasizes hands-on ETL development with Airflow and DBT, strong SQL and Python skills, and experience with AWS S3 and Tableau to deliver reliable business insights.