We are looking for a Platform Automation & Data Engineer to design and maintain data ingestion pipelines and automation frameworks that power cloud cost transparency and optimization for Indeed's Cloud Economics team. You will work across Python, SQL, dbt, Airflow, AWS, and Snowflake to build scalable ELT/ETL solutions and telemetry-driven cost attribution systems. The role serves Product, Engineering, Finance, and Analytics teams with reliable, data-informed decision-making infrastructure.

WHAT YOU WILL DO

• Design, develop, and implement tooling and datasets that enable telemetry-driven cost attribution and performance-informed financial modeling
• Build and maintain scalable data pipelines and automation frameworks to support cost transparency and optimization initiatives
• Develop systems that surface cost-saving opportunities and support committed-use discount modeling and management
• Ensure data accuracy and reliability through end-t...