Remote Data & AI Platform Engineer (Mid-Level)

Muttdata; Ciudad de Mendoza; A distancia; ARS 139.086.000 - 185.448.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Mentorship

Tech Talks

Growth budgets

Flexible schedule

Remote and office options

Descripción de la vacante

AgileEngine in Mendoza, Argentina seeks a Mid-level Data Engineer to build and maintain dbt pipelines and Snowflake data marts for customer reporting, spend analytics, and AI features. You will translate complex procurement logic into robust, tested pipelines, contribute to the semantic layer, ensure data quality, and support FastAPI services exposing reporting marts.

The role requires 3+ years in analytics/data engineering, strong SQL and Python, dbt, and cloud warehouse experience; English at

Formación

• 3+ years in analytics engineering, data engineering, or similar.
• Solid dbt experience: modeling, tests, macros, and incremental models.
• Strong SQL and Python proficiency.
• Data modeling fundamentals: dimensional modeling, data marts, grain and conformance.
• Experience with a modern cloud warehouse (Snowflake preferred).
• Experience with ingestion tooling and orchestration (Airbyte, Prefect).
• Familiarity with agentic coding tools and guardrails around their output.
• Curiosity about how data drives business decisions and customer use cases.
• Git, code review, CI/CD discipline.
• Ability to take multi-sprint work from spec to production and explain tradeoffs.

Responsabilidades

• Build and maintain dbt pipelines and data marts serving in-app reporting and analytics.
• Translate complex business logic into robust, tested pipeline code.
• Develop models within the data mart architecture and suggest improvements.
• Contribute to the semantic layer used by internal systems and AI agents.
• Maintain the boundary between PII and safe analytical data.
• Build and maintain FastAPI services exposing reporting marts to customers.
• Create and manage ingestion pipelines (Airbyte, S3) and support data onboarding.
• Implement data quality checks and alerting to catch issues early.
• Document lineage and metrics definitions for reliability and auditability.
• Tune Snowflake performance and cost within developed models.

Conocimientos

SQL

Python

Dimensional modeling

Data pipelines

Production systems

English (upper-intermediate)

Herramientas

dbt

Airbyte

Prefect

Snowflake

FastAPI

S3

Git

CI/CD

Descripción del empleo

AgileEngine in Mendoza, Argentina seeks a Mid-level Data Engineer to build and maintain dbt pipelines and Snowflake data marts for customer reporting, spend analytics, and AI features. You will translate complex procurement logic into robust, tested pipelines, contribute to the semantic layer, ensure data quality, and support FastAPI services exposing reporting marts.

The role requires 3+ years in analytics/data engineering, strong SQL and Python, dbt, and cloud warehouse experience; English at