Senior Data Engineer — Cloud Economics & Cost Insights

AgileEngine

Orlando (FL)

Hybrid

USD 140,000 - 190,000

Full time

9 days ago
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Benefits offered by this job

Professional growth
Competitive compensation
A selection of exciting projects
Flextime

Job summary

AgileEngine is seeking a Senior Data Engineer to design and maintain data pipelines powering cloud cost visibility and performance insights. You will build scalable ELT/ETL workflows across AWS services, Snowflake, and analytics tooling, collaborating with Engineering and Finance to drive cost optimization.

Ideal candidates have 4+ years in data engineering, strong SQL and Python, and experience with dbt, Airflow, and Dagster.

Qualifications

  • 4+ years of experience in Data Engineering roles.
  • ELT/ETL pipelines in cloud environments.
  • SQL and Python.
  • Orchestration tools: dbt, Airflow or Dagster.
  • AWS data ecosystem: Glue, Athena, and Aurora.
  • Snowflake experience.
  • CI/CD, version control, Terraform, and REST API integrations.
  • Data modeling and large-scale data processing.
  • Upper-intermediate English level.

Responsibilities

  • Design, build, and maintain the Cloud Economics team's data pipelines and automation systems.
  • Build and maintain scalable data pipelines and datasets that power cloud cost visibility, attribution, and performance insights.
  • Design and implement data models and ingestion frameworks to support large-scale telemetry and usage data.
  • Develop tooling that enables cost-aware decision-making across Product, Engineering, and Finance stakeholders.
  • Optimize data systems for performance, reliability, and cost efficiency (query tuning, storage strategies, compute optimization).
  • Partner with Engineering and Finance teams to support cost optimization initiatives and usage-based insights.
  • Ensure data quality, validation, and auditability across end-to-end data workflows.

Skills

SQL
Python
Data modeling
Data validation
Troubleshooting
ETL/ELT
Cost optimization
English
CI/CD
REST APIs

Tools

dbt
Airflow
Dagster
AWS Glue
Amazon Athena
Amazon Aurora
Snowflake
Terraform

Job description

AgileEngine is seeking a Senior Data Engineer to design and maintain data pipelines powering cloud cost visibility and performance insights. You will build scalable ELT/ETL workflows across AWS services, Snowflake, and analytics tooling, collaborating with Engineering and Finance to drive cost optimization.

Ideal candidates have 4+ years in data engineering, strong SQL and Python, and experience with dbt, Airflow, and Dagster.

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