Data Engineer - dbt, Snowflake & AI Features | Remote

AgileEngine, LLC.

San Miguel de Tucumán

Presencial

ARS 108.480.000 - 170.469.000

Jornada completa

Hace 2 días
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Ventajas ofrecidas por este puesto de trabajo

Professional growth
Competitive compensation
Exciting projects
Flextime

Descripción de la vacante

AgileEngine, LLC. is looking for a Mid-level Data Engineer to build and maintain dbt pipelines and Snowflake data marts behind customer-facing reporting and analytics.

The role demands 3+ years in data/analytics engineering, solid dbt experience, strong SQL and Python, and familiarity with Snowflake and ingestion/orchestration tools. This is a hands-on production role with modern cloud data warehousing.

Formación

  • 3+ years in analytics engineering or data engineering on production pipelines.
  • Strong dbt experience: modeling, tests, macros, and incremental models.
  • Proficiency in SQL and Python with data modeling fundamentals.
  • Experience with modern cloud data warehouses (Snowflake).
  • Familiarity with ingestion/orchestration tools such as Airbyte or Prefect.

Responsabilidades

  • Build and maintain dbt pipelines, data marts, and warehouse models for reporting and analytics.
  • Translate procurement or business logic into reliable pipeline code and tests.
  • Develop semantic layer and metadata definitions for consistent analytics.
  • Maintain data quality, lineage, and documentation for warehouse assets.
  • Build and maintain FastAPI services exposing reporting marts to customers.

Conocimientos

dbt experience
SQL
Python
Data modeling
Snowflake
Airbyte / Prefect
Analytics engineering
Git / CI/CD

Herramientas

Airbyte
Prefect
Snowflake
FastAPI
OneSchema
S3

Descripción del empleo

AgileEngine, LLC. is looking for a Mid-level Data Engineer to build and maintain dbt pipelines and Snowflake data marts behind customer-facing reporting and analytics.

The role demands 3+ years in data/analytics engineering, solid dbt experience, strong SQL and Python, and familiarity with Snowflake and ingestion/orchestration tools. This is a hands-on production role with modern cloud data warehousing.

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