Data Engineer: Snowflake Pipelines & BI (Remote)

AgileEngine, LLC.; Metropolitana; Hybrid; COP 129,462,000 - 226,559,000; Full time

Job summary

AgileEngine is a fast-growing software development partner that builds data-driven solutions for Fortune 500+ clients. The role focuses on designing robust data pipelines, Snowflake data models, and analytics dashboards to deliver insights across multiple business units.

You will collaborate with product, analytics, and engineering teams to ensure reliable data delivery, observability, and scalable data architectures in a hybrid work setup.

Qualifications

• 3+ years in data modeling, Kimball emphasis.
• Proficient in SQL; Snowflake or similar DW.
• Python for data processing and automation.
• ETL pipelines with Airflow or equivalents.
• DBT for transformation, modeling and testing.
• Experience integrating APIs with Snowflake.
• Develop simple Tableau dashboards.
• GitLab CI/CD workflows for CI/CD.
• Familiarity with AWS services, especially S3.
• Strong analytical and problem-solving skills.
• Willingness to automate processes.
• Ability to communicate clearly with stakeholders.
• Adaptability to business needs.

Responsibilities

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

Skills

SQL

Python

ETL

APIs

Data modeling

Kimball

Tableau basics

GitLab CI/CD

AWS S3

Analytical skills

Stakeholder comms

Process automation

Tools

Snowflake

Airflow

DBT

GitLab CI/CD

AWS S3

Tableau

Job description

AgileEngine is a fast-growing software development partner that builds data-driven solutions for Fortune 500+ clients. The role focuses on designing robust data pipelines, Snowflake data models, and analytics dashboards to deliver insights across multiple business units.

You will collaborate with product, analytics, and engineering teams to ensure reliable data delivery, observability, and scalable data architectures in a hybrid work setup.