Postúlate en Kit Empleo: kitempleo.com.ar/empleo/mw9ls

Agile Engine 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.

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

As a

Data Engineer (Fin Ops) , you will build and scale data solutions that drive cost transparency and performance optimization across cloud environments. Leveraging SQL, Python, and modern orchestration tools, you’ll develop pipelines, datasets, and automation frameworks that enable accurate cost attribution and informed financial decision-making.

This role offers strong cross-functional impact, working with Product, Engineering, and Finance to uncover cost-saving opportunities and shape scalable, data-driven Fin Ops practices.

WHAT YOU WILL DO

Design, develop, and implement tooling and datasets for telemetry-driven cost attribution and financial modeling

Build and maintain scalable data pipelines and automation frameworks for cost transparency and optimization

Develop systems to identify cost-saving opportunities and support discount modeling and management

Ensure data accuracy and reliability through validation, auditing, and observability

Collaborate with Product, Engineering, Finance, and Analytics stakeholders

Improve scalability,



performance, and reliability of ELT and ETL pipelines

Support and enhance CI/CD processes and infrastructure automation

MUST HAVES

4+ years of experience

in

Fin Ops ,

Cloud Engineering , or

Data Engineering

Strong experience with

SQL

and

Python

Experience with workflow orchestration tools such as

dbt ,

Airflow , or

Dagster

Experience designing and maintaining

ELT/ETL pipelines

Strong background in

data modeling

and

schema design

Experience with

AWS

services and

Snowflake

Familiarity with

CI/CD

pipelines and

Infrastructure as Code

such as

Terraform

Experience building and consuming

REST APIs

Hands‑on experience with cloud platforms such as

AWS

or

GCP

and

observability tools

like

Datadog

Strong

analytical skills

with focus on

data auditing

and

validation

Fin Ops certification

NICE TO HAVES

Experience with Scala

Experience with large-scale datasets and distributed systems

Understanding of cloud cost optimization strategies

Experience in data-driven and cross-functional environments

PERKS AND BENEFITS

Professional growth:

Mentorship, Tech Talks, and personalized growth roadmaps

Competitive compensation:

USD-based pay with education, fitness, and team activity budgets

Exciting projects:

Modern solutions with Fortune 500 and top product companies

Flextime:

Adaptable schedule with remote and office options

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Postúlate en Kit Empleo: kitempleo.com.ar/empleo/mw9ls

📌 Data Engineer (FinOps) (San Fernando del Valle de Catamarca)
🏢 Agileengine
📍 San Fernando del Valle de Catamarca