Postúlate en Kit Empleo: kitempleo.com.ar/empleo/nv0cu

AgileEngine is an Inc. **** 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 (FinOps), 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 FinOps 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 FinOps, 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
FinOps 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, TechTalks, 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: Versátil schedule with remote and office options
#J-*****-Ljbffr

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/nv0cu

📌 Data Engineer (Finops) Id56348 (Formosa)
🏢 Agileengine
📍 Formosa