About this role
Full Time Mid-level Data Engineer (FinOps) ID56348 in financial services at AgileEngine in CORDOBA, Argentina. Apply directly through the link below.
At a glance
- Work mode
- Office
- Employment
- Full Time
- Location
- CORDOBA, Argentina
- Experience
- Mid-level · 4+ years
Core stack
- Data Engineering
- Cross-functional
- Infrastructure
- Observability
- Optimization
- Performance
- Distributed
- Scalability
- Mentorship
- Terraform
- Snowflake
- Analytics
- Airflow
- Datadog
- Python
- Design
- Remote
- CI/CD
- REST
- SQL
- AWS
- GCP
- ETL
- dbt
- ML
Quick answers
What skills are required?
Data Engineering, Cross-functional, Infrastructure, Observability, Optimization, Performance, Distributed, Scalability, Mentorship, Terraform, and more.
AgileEngine is hiring for this role. Visit career page
Córdoba, Argentina
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
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
;
-
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:
Flexible schedule with remote and office options.