Senior Data Engineer, Cloud Economics & Cost Optimization

AgileEngine; Austin (TX); Hybrid; USD 140,000 - 190,000; Full time

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, attribution, and performance insights for a Cloud Economics team. Build ELT/ETL workflows using Python, SQL, dbt, and Airflow across AWS Glue, Athena, Aurora, as well as Snowflake, optimizing for performance, reliability, and cost.

You will collaborate with Engineering and Finance to support cost optimization and usage-based decisions, ensuring data quality and auditability across

Qualifications

• 4+ years of experience in Data Engineering roles.

Responsibilities

• Design, build, and maintain data pipelines and automation systems.
• Build scalable data pipelines and datasets powering cloud cost visibility and performance insights.
• Design ingestion frameworks for large-scale telemetry and usage data.
• Develop tooling enabling cost-aware decision-making across stakeholders.
• Optimize data systems for performance, reliability, and cost.

Skills

Data Engineering

ELT/ETL

SQL

Python

dbt

Airflow

Dagster

AWS

AWS Glue

Athena

Aurora

Snowflake

Terraform

CI/CD

REST API

Data Modeling

Cost Optimization

Tools

Snowflake

Job description

AgileEngine is seeking a Senior Data Engineer to design and maintain data pipelines powering cloud cost visibility, attribution, and performance insights for a Cloud Economics team. Build ELT/ETL workflows using Python, SQL, dbt, and Airflow across AWS Glue, Athena, Aurora, as well as Snowflake, optimizing for performance, reliability, and cost.

You will collaborate with Engineering and Finance to support cost optimization and usage-based decisions, ensuring data quality and auditability across