Senior Analytics Engineer (AI)

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

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

Company

hirify.global provides technology-enabled revenue cycle management solutions and point solutions for hospitals and affiliated physician groups across the United States.

What you will do

• Design, develop, test, deploy, monitor, and improve dbt data models and transformation pipelines in Databricks Lakehouse.
• Build reusable models, macros, testing frameworks, and automation logic for AR Follow-Up workflows.
• Translate operational and product requirements into technical designs that support automation and intelligent prioritization.
• Establish analytics engineering standards, modeling conventions, testing practices, observability, and governance.
• Optimize Delta Lake tables and Spark workloads for performance, scalability, and cost efficiency.
• Participate in architecture reviews, code reviews, troubleshooting, technical investigations, and mentoring.

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, distributed data platforms, and cloud-based architectures.
• Advanced SQL skills and experience optimizing large-scale data transformations.
• Strong knowledge of automated testing, CI/CD, modular design, observability, governance, data architecture, and stakeholder communication.

Nice to have

• Healthcare revenue cycle management experience, including claims, remittances, denials, payments, or AR aging.
• Experience with AR Follow-Up workflows, operational work queues, denial management, or workflow optimization.
• 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 onsite travel required when business needs demand it.
• Healthcare, 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.