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Job DescriptionAgileEngine 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.WHY JOIN USIf 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 ROLEAs 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;- Upper-intermediate English level.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: Adaptable schedule with remote and office options.RequirementsMust haves 6+ years of experience in full-stack development; Strong experience with Python and Node.js in production environments; Experience designing and working with PostgreSQL schemas and data models; Experience building frontend applications with React or similar frameworks; Experience with AWS services in production; Experience using AI tools such as Claude, GPT, or similar in development workflows; Experience integrating third-party APIs, especially billing or usage-based systems; Ability to work with incomplete requirements and build solutions; Comfortable in early-stage product environments; Professional working proficiency in English; Experience integrating frontend tests into CI/CD pipelines; Familiarity with observability and usage tracking concepts.

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/o9wnq

📌 Cloud Data Engineer – Finops Id56348 (Victoria)
🏢 AgileEngine
📍 Victoria