Senior Data & Analytics Engineer — Remote, High-Impact

AgileEngine, LLC.

Ciudad de Mendoza

In loco

ARS 181.906.000 - 272.860.000

Tempo pieno

9 giorni fa
Generatore di candidature

Una candidatura completa in un minuto — curriculum e lettera di presentazione personalizzati, pronti da inviare.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Professional growth
Competitive USD-based compensation
A selection of exciting projects
Flextime

Descrizione del lavoro

AgileEngine in Mendoza, Argentina is seeking a Senior Data and Analytics Engineer to build data pipelines and analytical models that support business intelligence and strategic decision-making in media and entertainment. The role emphasizes rapid prioritization in a lightweight process environment.

You will collaborate with product managers and analysts to deliver consumption-ready data, using Snowflake, dbt, Python, and AI-enabled tools, while aligning with governance and data standards.

Competenze

  • 4+ years in data engineering or analytics engineering in a production environment.

Mansioni

  • Deliver robust data features and pipelines within project teams, supporting business-facing verticals like distribution.
  • Translate complex business use cases into data models using dbt and SQL, joining revenue and performance data with internal contracts.
  • Build and maintain scalable pipelines using Snowflake, dbt Cloud, GitHub, VS Code, and Python.
  • Leverage AI tools in development workflow and collaborate with leadership on governance.
  • Collaborate with product managers and analysts to deliver consumption-ready data and ensure quality standards.

Conoscenze

Python
SQL

Strumenti

Snowflake
GitHub
VS Code

Descrizione del lavoro

AgileEngine in Mendoza, Argentina is seeking a Senior Data and Analytics Engineer to build data pipelines and analytical models that support business intelligence and strategic decision-making in media and entertainment. The role emphasizes rapid prioritization in a lightweight process environment.

You will collaborate with product managers and analysts to deliver consumption-ready data, using Snowflake, dbt, Python, and AI-enabled tools, while aligning with governance and data standards.

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