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About the Role
As a Senior Analytics Engineer, you will play a critical role in advancing Ensemble’s data, automation, and AI strategy within Revenue Cycle Management (RCM). We prioritize strong analytics engineering fundamentals, modern data stack expertise, and scalable design practices. Healthcare RCM experience is a strong advantage but not required — domain expertise can be developed. Technical excellence, engineering rigor, and systems thinking are essential.
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 account prioritization and scoring, denial categorization and trend analysis, aging analysis and performance tracking, and workflow routing and automation logic.
Requirements
- 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.
- 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.
- Reside and be authorized to work within the United States.
Skills
- dbt
- Databricks
- Spark
- Delta Lake
- SQL
- CI/CD
- automated testing
- modular design
- observability
- governance
- AI
- ML
- intelligent automation
- healthcare revenue cycle management data
- AR Follow-Up workflows
- denial management processes
- automation
- workflow optimization
- rule-based systems
- ML feature engineering
- model enablement
- AI-driven insights
Location
- Remote
Work Type
- Remote
- Onsite (as business needs require)
Experience Level
- Senior
- 5+ years of experience
Education Level
- Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, or related technical field.
Salary/Compensations
- $101,600 - $175,200
Benefits
- Associate Benefits – 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.
- Professional development investment
- Professional certification relevant to their field
- Tuition reimbursement
- Quarterly and annual incentive programs
About the Company
- Ensemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups.
- They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.
- Ensemble keeps communities healthy by keeping hospitals healthy.
- Five-time winner of “Best in KLAS” 2020-2022, 2024-2025
- Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024
- 22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024
- Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024
- Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023
- Energage Top Workplaces USA 2022-2024
- Fortune Media Best Workplaces in Healthcare 2024
- Monster Top Workplace for Remote Work 2024
- Great Place to Work certified 2023-2024
Equal Opportunity
- Ensemble is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble also prohibits harassment of applicants or employees based on any of these protected categories.
- Ensemble provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.