Data Engineer (FinOps) ID56348

FinOps Weekly; Monterrey; Híbrido; MXN 1.873.000 - 2.384.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

USD-based pay

Education budget

Team activity budget

Flexible schedule

Descripción de la vacante

AgileEngine is seeking a Data Engineer (FinOps) to build and scale data solutions that drive cost transparency and performance across cloud environments. You will leverage SQL, Python, and orchestration tools to develop pipelines, datasets, and automation frameworks for accurate cost attribution and informed financial decisions.

You will collaborate with Product, Engineering, Finance, and Analytics to uncover cost-saving opportunities, improve scalability, and enhance CI/CD processes and IaC

Formación

• 4+ years in FinOps, Cloud Eng, or Data Eng.
• Strong SQL and Python experience.
• Experience with ELT/ETL pipelines.
• Familiarity with AWS or GCP and Snowflake.
• CI/CD and IaC (Terraform) familiarity.
• Observability and data validation focus.
• FinOps certification.
• Upper-intermediate English.

Responsabilidades

• Design and implement tooling and datasets for telemetry-driven cost attribution.
• Build data pipelines and automation for cost transparency and optimization.
• Develop systems to identify cost-saving opportunities and discounts.
• Ensure data accuracy through validation, auditing, and observability.
• Collaborate with Product, Engineering, Finance, and Analytics.
• Improve ELT/ETL scalability, performance, and reliability.
• Support CI/CD processes and infrastructure automation.

Conocimientos

SQL

Python

dbt

Airflow

Dagster

ELT/ETL pipelines

Data modeling

Snowflake

AWS

GCP

Terraform

REST APIs

Datadog

FinOps certification

English (Upper-intermediate)

Herramientas

dbt

Airflow

Dagster

Snowflake

Terraform

Datadog

AWS

GCP

Descripción del empleo

AgileEngine# Data Engineer (FinOps) ID56348## Job DescriptionAgileEngine 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. Show more Show less| Map data (C) contributorsLoading...No Records FoundSorry, no records were found. Please adjust your search criteria and try again.Maps failed to loadSorry, unable to load the Maps API.Change LocationFind awesome listings near you!