Note: The job is a remote job and is open to candidates in USA. Ensemble Health Partners is a leading provider of technology-enabled revenue cycle management solutions for health systems. As a Senior Analytics Engineer, you will play a critical role in advancing the company’s data, automation, and AI strategy within Revenue Cycle Management, focusing on designing and improving data models and transformation pipelines.
Responsibilities
- Design, develop, test, deploy, monitor, and continuously improve high-quality data models and transformation pipelines using dbt within a Databricks Lakehouse environment
- Build scalable, maintainable, and reusable data models, macros, testing frameworks, and automation logic that address cross-functional AR Follow-Up needs
- Collaborate with operational and product stakeholders to translate AR workflows into technical designs and incremental deliverables that enable automation and intelligent prioritization
- Partner with data architecture to establish, document, and advocate for analytics engineering standards, modeling conventions, naming patterns, and testing best practices
- Participate in and help lead technical design sessions, spike investigations, and data architecture reviews to ensure alignment with long-term platform and automation strategy
- Engage in code reviews to ensure data model quality, promote modular and testable design, and mentor engineers through constructive, actionable feedback
- Troubleshoot complex data issues across ingestion, transformation, and semantic layers, driving sustainable, long-term fixes
- Contribute to a culture of analytics engineering excellence by promoting automation, observability, data quality testing, governance, and continuous improvement
- Design and optimize Delta Lake tables and Spark workloads for performance, scalability, and cost efficiency
- Help evaluate emerging tools, frameworks, and vendor solutions within the modern data ecosystem and provide guidance on their potential impact or value
- Support the transformation of AR Follow-Up through structured datasets that enable (for example): Account prioritization and scoring, Denial categorization and trend analysis, Aging analysis and performance tracking, Workflow routing and automation logic
Skills
- Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or 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 in a modern ELT environment (or similar framework)
- Experience working with Databricks, Spark, and Delta Lake (or similar distributed data platforms)
- Advanced SQL expertise and experience optimizing large-scale data transformations
- Deep understanding of analytics engineering best practices including automated testing, CI/CD, modular design, observability, and governance
- Experience building scalable data models in distributed or cloud-based architectures
- Strong communication skills with the ability to translate complex technical concepts to diverse stakeholders
- Demonstrated curiosity and interest in enabling AI, ML, or intelligent automation initiatives
- Demonstrated knowledge of data architecture principles, modeling patterns, and analytics engineering best practices
- Experience working with healthcare revenue cycle management data (claims, remittances, denials, payments, AR aging)
- Familiarity with AR Follow-Up workflows, operational work queues, or denial management processes
- Experience supporting automation, workflow optimization, or rule-based systems
- Exposure to ML feature engineering, model enablement, or AI-driven insights within Databricks
- Experience working in regulated industries requiring strong data governance and compliance controls
- Must be inquisitive and demonstrate openness to innovation including AI to explore better processes and ways to alleviate friction and improve patient and client experiences
Benefits
- Associate Benefits – We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs.
- Our Culture – Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation.
- Growth – We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement.
- Recognition – We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.
Company Overview