Senior Data Engineer: Marketing Analytics & Azure Pipelines

Encora Inc.; Ciudad de Mendoza; Híbrido; ARS 123.632.000 - 169.994.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based pay

Flextime — remote and office options

Fortune 500 projects

Descripción de la vacante

AgileEngine in Argentina, Mendoza is seeking a Mid-level Data Engineer to build and maintain dbt pipelines and Snowflake data marts behind customer-facing reporting, spend analytics, and AI features.

The role requires solid dbt experience, strong SQL and Python, dimensional modeling, and experience with Snowflake, Airbyte, or Prefect. You will implement data quality checks, expose reporting through FastAPI, and ensure proper handling of PII while supporting analytics across teams.

Formación

• 3+ years in analytics engineering, data engineering, or a closely related role with production pipelines.
• Solid dbt experience: modeling, tests, macros, incremental models.
• Strong SQL and Python.
• Data modeling fundamentals: dimensional modeling, data marts, grain, conformance.
• Experience with a modern cloud warehouse (Snowflake preferred).
• Experience with ingestion/orchestration tools (Airbyte, Prefect).
• Familiarity with guardrails around AI tools and data access.

Responsabilidades

• Build and maintain dbt pipelines, data marts, and warehouse models for reporting and analytics.
• Translate complex procurement logic into well-tested pipeline code.
• Develop data marts following grain and conformance conventions and propose improvements.
• Contribute to the semantic layer used by internal AI agents and dashboards.
• Maintain boundary between PII and reporting-safe data.
• Develop FastAPI services exposing reporting marts to customers.
• Maintain ingestion pipelines (Airbyte, OneSchema, S3) into the warehouse.
• Implement data quality checks for freshness, schema, and reconciliation.
• Document lineage and keep definitions consistent for humans and AI.

Conocimientos

dbt experience

SQL

Python

Data modeling

Snowflake

Airbyte

Prefect

FastAPI

Herramientas

Snowflake

Airbyte

Prefect

FastAPI

S3

OneSchema

Descripción del empleo

AgileEngine in Argentina, Mendoza is seeking a Mid-level Data Engineer to build and maintain dbt pipelines and Snowflake data marts behind customer-facing reporting, spend analytics, and AI features.

The role requires solid dbt experience, strong SQL and Python, dimensional modeling, and experience with Snowflake, Airbyte, or Prefect. You will implement data quality checks, expose reporting through FastAPI, and ensure proper handling of PII while supporting analytics across teams.