Senior Data Engineer - Marketing Analytics & Data Pipelines

Latamcent; Rosario; Presencial; ARS 1.500.000 - 2.900.000; Jornada completa

Descripción de la vacante

AgileEngine in Argentina is seeking a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling. You will work with product, engineering, analytics, and finance teams to enable data-driven decisions and ensure data trust.

Responsibilities include developing telemetry-driven cost attribution tooling and pipelines, surface optimization opportunities, and maintaining end-to-end ELT/ETL pipelines with strong data modeling and validation.

Formación

• 4+ years of experience in Data Engineering roles.
• Hands-on experience with SQL, Python, Spark and Scala.
• Hands-on with workflow tools: dbt, Airflow, Dagster.
• Experience with AWS/GCP and Snowflake is required.
• End-to-end ELT/ETL data pipelines, data modeling and schema maturity.
• CI/CD development, Infrastructure as Code (Terraform), REST API programming.
• Strong data auditing, validation skills and attention to detail.
• Ability to explain technical concepts to non-technical audiences.

Responsabilidades

• Develop tooling and datasets that drive telemetry-driven cost attribution and financial modeling.
• Build and maintain data pipelines and tooling for cost transparency and optimization opportunities.

Conocimientos

SQL

Python

Spark

Scala

Herramientas

dbt

Airflow

Dagster

Terraform

REST API

Descripción del empleo

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling.

WHAT YOU WILL DO

• Develop and implement tooling and datasets that drive telemetry-driven cost attribution and performance-informed financial modeling, enabling product, engineering, analyst, and finance stakeholders to make faster, data-driven decisions and trust the data.
• Build and maintain data pipelines and tooling that provide cost transparency, surface optimization opportunities, and support committed use discount modeling and management.

MUST HAVES

• 4+ years of experience in Data Engineering roles.
• Hands-on experience with SQL, Python, Spark, and Scala.
• Hands-on experience with workflow orchestration tools such as dbt, Airflow, and Dagster.
• Hands-on experience with AWS (Glue, Aurora, Athena), GCP, and Snowflake.
• Experience architecting and enhancing the long-term maintainability of end-to-end ELT/ETL data pipelines, including data modeling and schema maturity.
• Exposure to CI/CD development processes, Infrastructure as Code (Terraform), and REST API programming.
• Strong attention to detail, analytical skill, and comprehensive data auditing and end-to-end validation skills.
• Ability to explain technical concepts to non-technical audiences.

NICE TO HAVES

• Experience with FinOps teams or cost optimization job duties.
• FinOps Practitioner or FinOps Engineer certification.
• Experience with Datadog API endpoints.