Remote Dataops Engineer (Senior)

Encora Inc.; Ciudad de Mendoza; Remote; ARS 138,361,000 - 230,602,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Job summary

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

You will work with SQL, Python, Spark, Scala, and modern orchestration and cloud tools, shaping end-to-end ELT/ETL pipelines and promoting maintainability and accuracy across finance and product teams.

Qualifications

• 4+ years in Data Engineering roles.
• Hands-on with SQL, Python, Spark, and Scala.
• Hands-on 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 data pipelines with data modeling.
• Exposure to CI/CD, Infrastructure as Code (Terraform), and REST API programming.
• Strong attention to detail, analytics and data auditing skills.
• Ability to explain technical concepts to non-technical audiences.

Responsibilities

• Develop and implement tooling and datasets for cost attribution and financial modeling.
• Build and maintain data pipelines providing cost transparency and surface optimization opportunities.
• Collaborate with product, engineering, analyst, and finance stakeholders to enable data-driven decisions.

Skills

SQL

Python

Spark

Scala

dbt

Airflow

Dagster

AWS

GCP

Snowflake

ELT/ETL

CI/CD

Terraform

REST APIs

Tools

Go

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.

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.