Senior Data Engineer

Role Overview

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

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. Design and implement data models and ingestion frameworks to support large-scale telemetry and usage data.

Why It Might Be a Fit

The role partners closely with Engineering and Finance stakeholders to support cost optimization initiatives and usage-based decision-making. The company offers growth without limits, competitive compensation, flexibility, meaningful projects, a collaborative culture, well-being & support, and a supportive environment with zero micromanagement.

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