Senior Data Engineer: HR Data Platform & AI Enablement

Agileengine; Mar del Plata; Presencial; ARS 181.094.000 - 226.367.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth mentorship

Competitive USD-based compensation

Education, fitness, and team activity"

Flexible work options (Flextime)

Descripción de la vacante

AgileEngine is seeking a Senior/Lead Data Engineer to build and maintain HR data pipelines and semantic models in Snowflake, DBT, Python, and Airflow. You will design layers that enable BI tools and AI agents to consume HR data securely and efficiently.

The role emphasizes building semantic views, ML-ready data, and MCP connections for conversational interfaces, with strong emphasis on real-time processing and scalable architecture.

Formación

• 4+ years of experience in data engineering or related field.
• Proficiency with Snowflake data modeling, datamarts, and data warehouse design.
• Experience with DBT for data transformations.
• Strong Python programming including OOP and data scripting.
• Airflow for pipeline orchestration.
• REST API integration and data ingestion.
• Google BigQuery querying and optimization.
• Secure handling of large-scale and sensitive data.
• Real-time data processing from sources like Sheets or APIs.
• Advanced SQL with optimized queries.

Responsabilidades

• Develop and maintain secure, efficient data pipelines using DBT, PySpark, and Python in a cloud environment for HR data sources.
• Build infrastructure for ETL/ELT from diverse sources using Python, DBT, Terraform and AWS tools (Glue, EMR, S3).
• Identify improvements, implement tests within the Data Quality Framework, monitor pipelines for high uptime, and maintain data models for partner teams.
• Design and build semantic views and ontology layers over dbt models to expose business-friendly entities and metrics for BI and AI agents.
• Develop and deploy AI agents (Snowflake Cortex) for HR use cases enabling natural-language querying over HR data.
• Configure MCP connections between Snowflake and internal AI tooling to securely expose HR data to conversational interfaces.

Conocimientos

Snowflake

DBT

Python

Airflow

REST API

SQL

Google BigQuery

Data modeling

Herramientas

Snowflake Cortex

dbt

Terraform

AWS (Glue, EMR, S3)

PySpark

REST API tools

G CP

Descripción del empleo

AgileEngine is seeking a Senior/Lead Data Engineer to build and maintain HR data pipelines and semantic models in Snowflake, DBT, Python, and Airflow. You will design layers that enable BI tools and AI agents to consume HR data securely and efficiently.

The role emphasizes building semantic views, ML-ready data, and MCP connections for conversational interfaces, with strong emphasis on real-time processing and scalable architecture.