Senior Data Engineer ID82269

AgileEngine; Argentina; Híbrido; ARS 138 361 000 - 199 855 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional growth

Competitive USD-based compensation

Exciting projects

Flextime

Resumo da oferta

AgileEngine, LLC. is seeking a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling. You will collaborate with product, engineering, analytics, and finance teams to drive data-driven decisions.

You will develop end-to-end ELT/ETL pipelines, enhance data models, and enable cost visibility and optimization initiatives across the organization. Strong cloud and coding skills are essential.

Qualificações

• 4+ years in Data Engineering roles.
• Strong SQL, Python, Spark and Scala experience.
• Experience with dbt, Airflow and Dagster workflows.
• Hands-on AWS (Glue, Aurora, Athena), GCP and Snowflake.
• End-to-end ELT/ETL data pipeline design and data modeling.
• Familiar with CI/CD, IaC (Terraform) and REST APIs.
• Detail-oriented with strong data auditing and validation.
• Able to explain technical concepts to non-technical audiences.
• Upper-intermediate English proficiency.

Responsabilidades

• Develop tooling and datasets for cost attribution and financial modeling.
• Build and maintain data pipelines that provide cost transparency and optimization opportunities.

Conhecimentos

Data engineering experience

SQL

Python

Spark

Scala

REST API development

Ferramentas

dbt

Airflow

Dagster

AWS

GCP

Snowflake

Terraform

Descrição da oferta de emprego

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

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.
• Upper-intermediate English level.

NICE TO HAVES

• Experience with FinOps teams or cost optimization job duties.
• FinOps Practitioner or FinOps Engineer certification.
• Experience with Datadog API endpoints.
• Experience with Go.

PERKS AND BENEFITS

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.