Location
Austin
Job Type
Full-time
Posted
June 06, 2026
Job Description
Job Description
The Analytics Engineer will support data, automation, and AI initiatives focused on Revenue Cycle Management (RCM), with an emphasis on automating the Accounts Receivable (AR) Follow-Up function. This role will design scalable, production-grade data models using dbt in a modern cloud-based lakehouse environment.
In addition to core analytics engineering responsibilities, this position will help enable AI-driven workflows such as intelligent account prioritization, denial trend detection, predictive insights, and workflow optimization. The ideal candidate brings strong analytics engineering fundamentals, modern data stack experience, and a systems-oriented mindset.
Responsibilities
- Design, build, test, and maintain high-quality data models and transformation pipelines using dbt in a distributed data environment.
- Develop scalable, reusable, and well-tested data models, macros, and automation logic supporting AR Follow-Up workflows.
...
The Analytics Engineer will support data, automation, and AI initiatives focused on Revenue Cycle Management (RCM), with an emphasis on automating the Accounts Receivable (AR) Follow-Up function. This role will design scalable, production-grade data models using dbt in a modern cloud-based lakehouse environment.
In addition to core analytics engineering responsibilities, this position will help enable AI-driven workflows such as intelligent account prioritization, denial trend detection, predictive insights, and workflow optimization. The ideal candidate brings strong analytics engineering fundamentals, modern data stack experience, and a systems-oriented mindset.
Responsibilities
- Design, build, test, and maintain high-quality data models and transformation pipelines using dbt in a distributed data environment.
- Develop scalable, reusable, and well-tested data models, macros, and automation logic supporting AR Follow-Up workflows.
...