Senior Data Engineer — Cloud Cost Insights & Pipelines

AgileEngine; San Francisco (CA); Hybrid; USD 140,000 - 200,000; 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 and automation systems powering cloud cost visibility, attribution, and performance insights for the Cloud Economics team. You will build scalable ELT/ETL workflows across AWS services like Glue, Athena, and Aurora, and work with Snowflake to optimize for performance and cost.

You will collaborate with Engineering and Finance stakeholders to enable cost-aware decision-making, data quality, and auditability across

Qualifications

• 4+ years of experience in Data Engineering roles.
• ELT/ETL pipelines in cloud environments.
• SQL and Python.
• Experience with orchestration tools such as dbt, Airflow, or Dagster.
• AWS data ecosystem experience, including AWS Glue, Amazon Athena, and Amazon Aurora.
• Experience with Snowflake.
• Strong data modeling and large-scale data processing experience.
• CI/CD, version control, Infrastructure as Code (Terraform), and REST API integrations.
• Demonstrated ability to optimize data pipelines for performance and cost.
• 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

Data Engineering

ELT/ETL pipelines

SQL

Python

dbt

Airflow

Dagster

AWS

Snowflake

Terraform

CI/CD

REST API

Data modeling

English

Tools

AWS Glue

Amazon Athena

Amazon Aurora

Snowflake

dbt

Airflow

Dagster

Terraform

REST APIs

Git

Job description

AgileEngine is seeking a Senior Data Engineer to design and maintain data pipelines and automation systems powering cloud cost visibility, attribution, and performance insights for the Cloud Economics team. You will build scalable ELT/ETL workflows across AWS services like Glue, Athena, and Aurora, and work with Snowflake to optimize for performance and cost.

You will collaborate with Engineering and Finance stakeholders to enable cost-aware decision-making, data quality, and auditability across