Senior Data Engineer - Snowflake, DBT & AI Pipelines

AgileEngine; Rosario; Híbrido; ARS 181.094.000 - 256.550.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Senior/Lead Data Engineer to build and maintain the pipelines and data models behind a centralized HR data warehouse. You will work with Snowflake, DBT, Python, and Airflow to design semantic layers for BI tools and AI agents.

The role requires 4+ years of experience, strong SQL, and upper-intermediate English. Hybrid work from Rosario, Argentina, is offered to balance collaboration and autonomy.

Formación

• 4+ years of experience in data engineering or related field.
• Strong Snowflake data modeling, datamarts, and warehouse design.
• DBT for data transformations.
• Python programming and data scripting.
• Airflow for pipeline orchestration.
• REST API integration and data ingestion.
• Google BigQuery querying and optimization.
• Highly skilled SQL and performance tuning.
• Proficient English (upper-intermediate) in professional contexts.

Responsabilidades

• Develop and maintain secure, efficient data pipelines in a cloud environment for HR data sources.
• Build infrastructure for ETL from diverse sources using Python, DBT, Terraform, AWS tools.
• Monitor pipelines, ensure 99.5% uptime, and maintain data models used by partner teams.
• Design semantic views and ontology layers over dbt models to empower BI and AI tools.
• Develop and deploy AI agents for HR use cases enabling natural-language querying over data.
• Configure MCP connections between Snowflake and internal AI tooling.

Conocimientos

4+ years experience

Snowflake

DBT

Python

Airflow

REST API integration

Google BigQuery

SQL

Upper-intermediate English

Herramientas

Terraform

AWS

EMR

S3

Snowflake Cortex

Descripción del empleo

AgileEngine is seeking a Senior/Lead Data Engineer to build and maintain the pipelines and data models behind a centralized HR data warehouse. You will work with Snowflake, DBT, Python, and Airflow to design semantic layers for BI tools and AI agents.

The role requires 4+ years of experience, strong SQL, and upper-intermediate English. Hybrid work from Rosario, Argentina, is offered to balance collaboration and autonomy.