Data Engineer: Build Scalable Pipelines with Python/SQL

AgileEngine, LLC.; Rosarito; Hybrid; MXN 1,629,000 - 2,353,000; Full time

Benefits offered by this job

Flextime

Professional growth

Competitive compensation

Job summary

AgileEngine is seeking a Data Engineer to build and optimize data pipelines, design Snowflake models, and deliver actionable insights. You will collaborate with stakeholders to ensure project transparency and success.

The role emphasizes data observability, ETL development with Airflow, DBT transformations, and creating dashboards with Tableau, all while leveraging AWS S3 and GitLab CI/CD in a flexible work setup including remote and in-office options.

Qualifications

• 3+ years of experience in data modeling or data engineering.
• Strong SQL and Python skills.
• Experience with Snowflake or similar cloud data warehouses.
• Experience building ETL pipelines with Airflow or similar.
• Experience using DBT for transformation and testing.
• Experience consuming APIs and loading data into Snowflake.
• Ability to create simple dashboards in Tableau.
• Experience with GitLab CI/CD workflows.
• Familiarity with AWS services (S3).
• Strong analytical and problem-solving skills.
• Willingness to learn and automate processes.
• Ability to communicate clearly with stakeholders.

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

Apache Airflow

DBT

API integration

Tableau

GitLab CI/CD

Problem-solving

Communication

Tools

Snowflake

Airflow

DBT

Tableau

GitLab CI/CD

Docker

AWS S3

Job description

AgileEngine is seeking a Data Engineer to build and optimize data pipelines, design Snowflake models, and deliver actionable insights. You will collaborate with stakeholders to ensure project transparency and success.

The role emphasizes data observability, ETL development with Airflow, DBT transformations, and creating dashboards with Tableau, all while leveraging AWS S3 and GitLab CI/CD in a flexible work setup including remote and in-office options.