Senior Data Engineer - Cloud Ingestion & Integrations

Netrix Global; Ciudad de Mendoza; Hybrid; ARS 136,310,000 - 227,183,000; Full time

Benefits offered by this job

Professional growth

Competitive USD compensation

Challenging projects

Flextime & remote/office flexibility

Job summary

AgileEngine is seeking a Data Engineer to build data pipelines and tooling for cost attribution, optimization, and financial modeling. You will enable stakeholders across product, engineering, analyst, and finance to make data-driven decisions and trust the data.

You will develop pipelines for cost transparency, surface optimization opportunities, and support committed use discount modeling and management. The role requires hands-on experience with SQL, Python, Spark, Scala and modern data

Qualifications

• 4+ years of data engineering experience.
• Hands-on with SQL, Python, Spark and Scala.
• Hands-on with dbt, Airflow and Dagster.
• Experience with AWS (Glue, Aurora, Athena), GCP and Snowflake.
• End-to-end ELT/ETL pipelines, data modelling and schema maturity.
• CI/CD, Infrastructure as Code (Terraform) and REST APIs.

Responsibilities

• Develop tooling and datasets for telemetry-driven cost attribution and financial modeling.
• Build and maintain data pipelines that surface cost transparency and optimization opportunities.

Skills

4+ years data engineering

Analytical skills

Attention to detail

Explain technical concepts to non-tech

Tools

SQL

Python

Spark

Scala

dbt

Airflow

Dagster

AWS Glue

AWS Aurora

AWS Athena

GCP

Snowflake

Terraform

REST API

Job description

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 modelling 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 optimisation 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.