Remote Aws Data Engineering Lead - Flexible Hours

Perficient; Ciudad de Mendoza; Hybrid; ARS 92,241,000 - 184,482,000; Full time

Benefits offered by this job

Professional growth

USD-based compensation

Exciting projects

Flextime and hybrid

Job summary

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

You will work with SQL, Python, Spark, Scala, and modern orchestration tools to implement end-to-end ELT/ETL pipelines, while emphasizing data quality and measurable impact on cost efficiency.

Qualifications

• 4+ years of data engineering experience.
• Proficient in SQL, Python, Spark, and Scala.
• Experience with dbt, Airflow, and Dagster.
• Experience with AWS, GCP, and Snowflake.
• End-to-end ELT/ETL pipelines design and maintenance.
• CI/CD and Infrastructure as Code (Terraform).
• Strong data auditing and validation skills.
• Ability to explain technical concepts to non-technical audiences.
• Upper-intermediate English.

Responsibilities

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

Skills

SQL

Python

Spark

Scala

dbt

Airflow

Dagster

AWS

GCP

Snowflake

ELT/ETL pipelines

Terraform

REST API

CI/CD

Data auditing

English (upper-intermediate)

Tools

Datadog 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 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.

Job Description