Senior Data & Analytics Engineer — Flexible, Impactful

AgileEngine, LLC.; San Carlos de Bariloche; Presencial; ARS 137.157.000 - 182.877.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

Selection of exciting projects

Flextime

Descripción de la vacante

AgileEngine, LLC. is seeking a Senior Data and Analytics Engineer to build data pipelines and analytical models that support BI and decision-making in media/entertainment. You will work with Snowflake, dbt Cloud, Python, and SQL in a fast-paced, business-facing team.

Collaborating with product managers and analysts, you will translate complex use cases into scalable data solutions and drive governance around data tooling adoption.

Formación

• 4+ years of experience in data or analytics engineering in production.
• Expert-level Python and SQL skills; strong dbt Cloud experience.
• Proficient with Snowflake; comfortable with GitHub and VS Code.
• Thrives in a light-process environment and communicates with non-technical stakeholders.

Responsabilidades

• Deliver robust data features and pipelines for business-facing verticals like distribution.
• Translate business use cases into robust data models using dbt and SQL.
• Build and maintain scalable pipelines with Snowflake, dbt Cloud, and Python.
• Collaborate with product managers and analysts; participate in governance and tooling adoption.
• Document data models and pipelines, transitioning tribal knowledge to dbt catalogs.

Conocimientos

Python

SQL

Analytical thinking

Herramientas

dbt Cloud

Snowflake

GitHub

VS Code

Descripción del empleo

AgileEngine, LLC. is seeking a Senior Data and Analytics Engineer to build data pipelines and analytical models that support BI and decision-making in media/entertainment. You will work with Snowflake, dbt Cloud, Python, and SQL in a fast-paced, business-facing team.

Collaborating with product managers and analysts, you will translate complex use cases into scalable data solutions and drive governance around data tooling adoption.