Freelance - Senior Data Engineer (Latam Based)

Arionkoder; Ciudad de Mendoza; Híbrido; ARS 138.361.000 - 215.229.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Descripción de la vacante

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

Required: 4+ years in data engineering; hands-on with SQL, Python, Spark, Scala; experience with dbt, Airflow, Dagster; AWS/GCP/Snowflake; CI/CD and Terraform; strong analytical skills and English proficiency; hybrid/flexible work

Formación

• 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 end-to-end ELT/ETL pipelines and data modeling.
• CI/CD and Infrastructure as Code practices.

Responsabilidades

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

Conocimientos

Analytical thinking

Attention to detail

Non-technical communication

English proficiency

Herramientas

dbt

Airflow

Dagster

SQL

Python

Spark

Scala

AWS

GCP

Snowflake

Terraform

Descripción del empleo

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.

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.

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 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.

Requirements
+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-d...