Senior Data Engineer | Remote + Flexible Hours + FinOps

Arionkoder

Ciudad de Mendoza

Hybrid

ARS 138,361,000 - 215,229,000

Full time

3 days ago
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Benefits offered by this job

Professional growth
Competitive USD-based compensation
A selection of exciting projects
Flextime

Job summary

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

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Analytical thinking
Attention to detail
Non-technical communication
English proficiency

Tools

dbt
Airflow
Dagster
SQL
Python
Spark
Scala
AWS
GCP
Snowflake
Terraform

Job description

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

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