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.
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.
#J-*****-Ljbffr

📌 Senior Data Engineer, Marketing Analytics - Remote (Rosario)
🏢 JPMorgan Chase
📍 Rosario