Senior Data Engineer: Cloud Economics & Data Pipelines

AgileEngine; Boston (MA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based 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 and performance insights for a 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.

The role partners with Engineering and Finance stakeholders to support cost optimization

Qualifications

• You must be authorized to work for ANY employer in the US; no visa sponsorship.
• 4+ years of experience in Data Engineering roles.
• Strong Data Engineering foundation with end-to-end ELT/ETL pipelines in cloud environments.
• Strong 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.
• Experience with CI/CD, version control, Infrastructure as Code (Terraform), and REST API integrations.
• Demonstrated ability to optimize data pipelines for performance and cost.
• Strong analytical skills with experience in data validation, auditing, and troubleshooting production pipelines.
• 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

ELT/ETL pipelines

Airflow

dbt

Dagster

AWS Glue

Amazon Athena

Amazon Aurora

Snowflake

Data modeling

CI/CD

Terraform

REST API integrations

Tools

dbt

Airflow

Dagster

Terraform

Snowflake

AWS Glue

Amazon Athena

Amazon Aurora

Job description

AgileEngine is seeking a Senior Data Engineer to design and maintain data pipelines and automation systems powering cloud cost visibility and performance insights for a 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.

The role partners with Engineering and Finance stakeholders to support cost optimization