Senior Data & Analytics Engineer | Flexible Hours

AgileEngine, LLC.; Rosario; On-site; ARS 136,430,000 - 197,065,000; Full time

Benefits offered by this job

Professional growth

Competitive USD compensation

A selection of exciting projects

Flextime

Job summary

AgileEngine, LLC. is seeking a Senior Data and Analytics Engineer in Rosario, Argentina, to build data pipelines and analytics models that support BI and strategic decision-making for media and entertainment clients.

The role emphasizes rapid reprioritization in a flexible, collaborative environment. You will translate complex business use cases into robust data models using dbt and SQL, and maintain pipelines with Snowflake, dbt Cloud, GitHub, VS Code, and Python.

Qualifications

• 4+ years in data engineering or analytics engineering in a production environment.
• Expert-level Python and SQL skills.
• Proficient with Snowflake cloud data platform and development tools (GitHub, VS Code).
• Thrives in a process-light environment akin to a data science team.
• Strong communication with non-technical stakeholders and product managers.

Responsibilities

• Deliver robust data features and pipelines for business-facing verticals.
• Translate complex use cases into data models using dbt and SQL.
• Build and maintain scalable pipelines using Snowflake, dbt Cloud, GitHub, VS Code, and Python.
• Collaborate with product managers, data visualization leads, and analysts to deliver consumption-ready data.
• Work with technical leadership to improve tool governance and adoption.

Skills

Python

SQL

Tools

Snowflake

GitHub

VS Code

dbt Cloud

Job description

AgileEngine, LLC. is seeking a Senior Data and Analytics Engineer in Rosario, Argentina, to build data pipelines and analytics models that support BI and strategic decision-making for media and entertainment clients.

The role emphasizes rapid reprioritization in a flexible, collaborative environment. You will translate complex business use cases into robust data models using dbt and SQL, and maintain pipelines with Snowflake, dbt Cloud, GitHub, VS Code, and Python.