Analytics Engineer (dbt/Databricks)

Location: Remote within the United States; travel to and work onsite at client, temporary, or corporate office locations may be required as business needs require. Applicants must reside in and be authorized to work within the United States.

Salary: $101,600–$175,200, based on experience.

Company

hirify.global provides technology-enabled revenue cycle management solutions and point solutions for hospitals, health systems, and affiliated physician groups.

What you will do

• Design, develop, test, deploy, monitor, and improve data models and transformation pipelines using dbt in a Databricks Lakehouse.
• Build reusable models, macros, testing frameworks, and automation logic for AR Follow-Up workflows.
• Translate operational and product requirements into technical designs and incremental data deliverables.
• Define analytics engineering standards, modeling conventions, naming patterns, testing practices, and governance approaches.
• Optimize Delta Lake tables and Spark workloads for performance, scalability, and cost efficiency.
• Develop structured datasets supporting account prioritization, denial analysis, aging analysis, performance tracking, and workflow automation.

Requirements

• Bachelor’s degree in computer science, engineering, mathematics, statistics, or a related technical field.
• 5+ years of experience in analytics engineering, data engineering, or advanced BI building production-grade data solutions.
• Strong hands-on experience with dbt or a similar framework in a modern ELT environment.
• Experience with Databricks, Spark, Delta Lake, or similar distributed data platforms, plus advanced SQL expertise.
• Knowledge of automated testing, CI/CD, modular design, observability, governance, data architecture, and scalable cloud-based modeling.
• Must reside in and be authorized to work within the United States.

Nice to have

• Healthcare revenue cycle management data experience, including claims, remittances, denials, payments, or AR aging.
• Experience with AR Follow-Up workflows, operational work queues, denial management, or workflow automation.
• Exposure to ML feature engineering, model enablement, or AI-driven insights in Databricks.
• Experience in regulated industries with strong data governance and compliance controls.

Culture & Benefits

• Remote work with business-related travel and onsite work as required.
• Healthcare, paid time off, retirement, and well-being benefits.
• Professional certification opportunities and tuition reimbursement.
• Quarterly and annual incentive programs.
• Culture focused on collaboration, growth, innovation, work-life flexibility, and continuous improvement.