Senior Data Engineer (Remote) - Snowflake + Data Pipelines

Pyyne Digital; Quilmes; Hybrid; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects with Fortune 500/Top

Job summary

AgileEngine is seeking a Senior/Lead Data Engineer to build and maintain pipelines for a centralized HR data warehouse. You will work with Snowflake, DBT, Python, and Airflow, designing semantic layers for BI tools and AI agents. Experience with Cortex or MCP-based tooling is a plus.

Join a people-first team with flexible remote/office options and an award-winning culture. 4+ years of relevant experience and strong SQL are required.

Qualifications

• 4+ years of experience.
• Snowflake, including data modeling, datamarts, and data warehouse design.
• DBT for data transformations.
• Python, including OO programming 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 (e.g., from Sheets or APIs).
• Strong SQL, including highly optimized queries.
• Comprehensive documentation skills.
• Upper-intermediate English level.

Responsibilities

• Develop and maintain secure, efficient data pipelines using DBT, PySpark, and Python applications.
• Build infrastructure and tooling required for optimal extraction, transformation, and loading using Python, DBT, Terraform, and AWS (Glue, EMR, S3).
• Identify and implement internal process improvements, develop tests within the Data Quality Framework, monitor pipelines to maintain uptime, and maintain data models.
• Design and build semantic views and ontology layers on top of existing dbt models to make HR data consumable by BI tools and AI agents.
• Develop and deploy AI agents for HR use cases enabling natural-language querying over certified HR data.
• Configure and maintain MCP connections between Snowflake and internal AI tooling.

Skills

4+ years experience

Snowflake

DBT

Python

Airflow

REST APIs

Google BigQuery

SQL

Documentation

English level

Semantic layer design

Snowflake Cortex

MCP protocol

Prompt engineering

Tools

Terraform

AWS

Glue

EMR

S3

Job description

AgileEngine is seeking a Senior/Lead Data Engineer to build and maintain pipelines for a centralized HR data warehouse. You will work with Snowflake, DBT, Python, and Airflow, designing semantic layers for BI tools and AI agents. Experience with Cortex or MCP-based tooling is a plus.

Join a people-first team with flexible remote/office options and an award-winning culture. 4+ years of relevant experience and strong SQL are required.