Senior Data Engineer

Role Overview

We are looking for a Senior Data Engineer to design and maintain data pipelines and automation systems that power cloud cost visibility, attribution, and performance insights for a Cloud Economics team.

What You Will Do

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.

Why It Might Be a Fit

If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!

Requirements

• 4+ years of experience in Data Engineering roles
• Strong Data Engineering foundation with proven experience building and maintaining 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

Benefits

• Growth without limits
• Competitive compensation
• Flexibility
• Meaningful, modern projects
• Collaborative culture
• Well-being & support