Data Engineer - Remote & Flexible Hours, ETL Pipelines

AgileEngine, LLC.

Sur

On-site

COP 194,194,000 - 291,290,000

Full time

14 days+
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Job summary

AgileEngine is seeking a data engineer to build and optimize data pipelines, design Snowflake data models, and enhance observability across analytics projects. You will deliver dashboards and collaborate with stakeholders to drive data-driven decisions.

Ideal candidates have 3+ years in data modeling (Kimball), strong SQL and Python, plus hands-on experience with Airflow, DBT, APIs, Snowflake, and AWS S3. BI tooling like Tableau and CI/CD with GitLab are a plus.

Qualifications

  • 3+ years of data modeling experience, especially Kimball.
  • Strong SQL skills and Snowflake or similar warehouse experience.
  • Proficiency in Python for data processing and automation.
  • Experience building ETL pipelines with Airflow or similar tools.
  • Experience using DBT for transformation, testing and modeling.
  • Experience accessing APIs and integrating data into Snowflake.
  • Ability to build simple Tableau dashboards.
  • Familiarity with GitLab CI/CD workflows.

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 identify and resolve issues.
  • Create dashboards and workflows to deliver business insights.
  • Collaborate with stakeholders to ensure project transparency and success.

Skills

Data modeling
Kimball
SQL
Python
ETL
Airflow
DBT
APIs
Snowflake
Tableau
GitLab CI/CD
AWS S3
Analytical
Communication

Tools

Snowflake
Airflow
DBT
Tableau
GitLab CI/CD
AWS S3
Docker

Job description

AgileEngine is seeking a data engineer to build and optimize data pipelines, design Snowflake data models, and enhance observability across analytics projects. You will deliver dashboards and collaborate with stakeholders to drive data-driven decisions.

Ideal candidates have 3+ years in data modeling (Kimball), strong SQL and Python, plus hands-on experience with Airflow, DBT, APIs, Snowflake, and AWS S3. BI tooling like Tableau and CI/CD with GitLab are a plus.

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