Cloud Data Engineer ELT/ETL & Cost Insights

AgileEngine, LLC.

Miami (FL)

Hybrid

USD 130,000 - 180,000

Full time

5 days ago
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Benefits offered by this job

Professional growth
Competitive compensation
Exciting projects
Flextime

Job summary

AgileEngine, LLC seeks a Senior Data Engineer to design and maintain data pipelines powering cloud cost visibility, attribution, and performance insights for the Cloud Economics team. You will build scalable ELT/ETL workflows using Python, SQL, dbt, and Airflow across AWS services including Glue, Athena, and Aurora alongside Snowflake, optimizing for performance, reliability, and cost efficiency.

You will partner with Engineering and Finance to optimize costs, ensure data quality, and enable

Qualifications

  • 4+ years of experience in data engineering.
  • Strong SQL and Python capabilities.
  • Experience building end-to-end ELT/ETL in cloud environments.

Responsibilities

  • Design, build, and maintain Cloud Economics data pipelines.
  • Develop scalable data pipelines and datasets for cloud cost visibility and performance insights.
  • Design data models and ingestion frameworks for telemetry data.
  • Develop tooling for cost-aware decision making with stakeholders.
  • Optimize data systems for performance, reliability, and cost efficiency.
  • Partner with Engineering and Finance for cost optimization insights.
  • Ensure data quality, validation, and auditability across end-to-end workflows.

Skills

SQL
Python
ELT/ETL pipelines
Airflow
dbt
Dagster
Snowflake
AWS Glue
Athena
Aurora
Data modeling
CI/CD
Terraform
REST APIs

Tools

dbt
Airflow
Dagster
Terraform
REST API

Job description

AgileEngine, LLC seeks a Senior Data Engineer to design and maintain data pipelines powering cloud cost visibility, attribution, and performance insights for the Cloud Economics team. You will build scalable ELT/ETL workflows using Python, SQL, dbt, and Airflow across AWS services including Glue, Athena, and Aurora alongside Snowflake, optimizing for performance, reliability, and cost efficiency.

You will partner with Engineering and Finance to optimize costs, ensure data quality, and enable

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