📋 Description

• Own the development and evolution of client-facing data transformation pipelines, making them
• Identify and implement effective ways to leverage AI to accelerate, improve, automate, and document
• Design and continuously improve data integrity and quality tests in partnership with Engineering
• Collaborate with Customer Success to understand data and reporting requirements, troubleshoot
• Build and maintain production-ready analytical models that transform raw financial and operational
• Refactor and optimize critical models and pipelines to improve performance, scalability

🎯 Requirements

• Proven professional experience owning data transformation pipelines end to end, from source
• Experience working with financial or operational data; experience with financial datasets is a
• Strong SQL skills and hands-on experience with dbt or a comparable data transformation framework.
• Solid understanding of data flows from source systems through transformation layers to end-user
• Professional experience with Python and modern data engineering practices, including version
• Familiarity with BigQuery and Git, as well as CI/CD workflows for data transformations.

🎁 Benefits

• Competitive compensation for US, with a listed range of $145,000–$192,000 annually, plus equity.
• Fully remote work within the Americas.
• Flexible working hours.
• Unlimited paid time off.
• Regular in-person company retreats.
• Company-provided MacBook Pro or Lenovo laptop.