Data Engineer; Soledad

Agile Engine 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.

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

As a Data Engineer (Fin Ops), you will build and scale data solutions that drive cost transparency and performance optimization across cloud environments. Leveraging SQL, Python, and modern orchestration tools, you’ll develop pipelines, datasets, and automation frameworks that enable accurate cost attribution and informed financial decision‑making. This role offers strong cross‑functional impact, working with Product, Engineering, and Finance to uncover cost‑saving opportunities and shape scalable, data‑driven Fin Ops practices.

• Design, develop, and implement tooling and datasets for telemetry‑driven cost attribution and financial modeling.
• Build and maintain scalable data pipelines and automation frameworks for cost transparency and optimization.
• Develop systems to identify cost‑saving opportunities and support discount modeling and management.
• Ensure data accuracy and reliability through validation, auditing, and observability.
• Collaborate with Product, Engineering, Finance, and Analytics stakeholders.
• Improve scalability, performance, and reliability of ELT and ETL pipelines.
• Support and enhance CI/CD processes and infrastructure automation.

• 4+ years of experience in Fin Ops, Cloud Engineering, or Data Engineering.
• Strong experience with SQL and Python.
• Experience with workflow orchestration tools such as dbt, Airflow, or Dagster.
• Experience designing and maintaining ELT/ETL pipelines.
• Strong background in data modeling and schema design.
• Experience with AWS services and Snowflake.