Senior Data Engineer - Remote, Flexible Hours, Learning Budget

AgileEngine; Buenos Aires; Presencial; ARS 178.643.000 - 267.965.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth opportunities and learning

Competitive compensation

100% remote work with flexible hours

Modern projects with global teams

Collaborative culture and autonomy

Well-being programs

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to architect and build an enterprise data platform on Snowflake and Azure. You will own the full stack from infrastructure provisioning through pipeline development, data modeling, governance, and observability.

The role is a solo senior contributor position with high ownership and production-grade delivery. You will develop scalable data pipelines ingesting from enterprise sources into Snowflake, build Bronze/Silver/Gold models, manage Terraform

Formación

• 4+ years of hands-on data engineering experience with full production pipeline ownership.
• Proven track record building and managing cloud data platforms with Snowflake and performance tuning.
• Strong SQL and data modeling fundamentals including Kimball and SCD management.
• Production experience with SQLMesh or DBT in a warehouse-centric architecture.
• Experience ingesting data from REST APIs and SQL Server using Azure Data Factory and Azure Functions.
• Hands-on Terraform for infrastructure provisioning and CI/CD with GitHub Actions or Azure DevOps.
• Ability to audit, take over, and operate a data platform built by a third party.
• Upper-intermediate English level.

Responsabilidades

• Develop and maintain scalable data pipelines from enterprise sources into Snowflake using Azure Data Factory, Azure Event Hub, and ADLS Gen2.
• Build and optimize analytics-ready data models (Bronze/Silver/Gold) using SQLMesh.
• Provision and manage platform infrastructure via Terraform, including Snowflake objects and Azure resources.
• Implement CI/CD pipelines with GitHub Actions for automated testing and multi-environment releases.
• Design and enforce data governance, security, and HIPAA-aligned data handling.
• Configure cloud networking and private connectivity, including Azure Private Endpoints and Private DNS zones.
• Establish observability with Datadog for pipeline health and data lineage.
• Write production-grade Python for ingestion utilities and data quality checks.
• Collaborate with analytics and business stakeholders using Agile practices.
• Diagnose and resolve production issues across pipelines and platform services.

Conocimientos

SQL

Data Modeling

Snowflake

ETL Pipelines

Python

REST APIs

CI/CD

Terraform

GitHub Actions

Azure Data Factory

Azure Functions

DBT / SQLMesh

Snowflake RBAC

Herramientas

Terraform

GitHub Actions

Azure Data Factory

Datadog

DBT/SQLMesh

Azure Functions

Descripción del empleo

AgileEngine is seeking a Senior Data Engineer to architect and build an enterprise data platform on Snowflake and Azure. You will own the full stack from infrastructure provisioning through pipeline development, data modeling, governance, and observability.

The role is a solo senior contributor position with high ownership and production-grade delivery. You will develop scalable data pipelines ingesting from enterprise sources into Snowflake, build Bronze/Silver/Gold models, manage Terraform