Sr Analytics Engineer

Ensemble Health Partners • San Jose, CA

4d

About The Position

Thank you for considering a career at Ensemble Health Partners! Ensemble Health Partners 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. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference! O.N.E Purpose: Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations. Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation. Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results. The Opportunity: Welcome to Orchestration Works — Ensemble’s bold leap into the future of healthcare innovation. We’re building something big. Orchestration Works is a brand-new division designed to move fast, break barriers, and bring cutting‑edge technology like AI and automation to life across the healthcare revenue cycle. This is where ideas don’t just get tested — they get scaled. Our mission is simple: transform how we work, deliver next‑level results for our clients, and lead the industry into tomorrow. Why Orchestration Works Exists Healthcare is changing at warp speed. To stay ahead, we’re taking R+D out of the lab and putting it into real operations — quickly, intelligently, and boldly. This new division gives us the freedom and focus to experiment, learn, and deploy innovations that make a measurable impact. What Makes It Different A dedicated R+D powerhouse: A 50‑person independent team headquartered in Austin, Texas — built to move at startup speed. Real autonomy: Independent leadership, resources, and decision-making authority that lets us innovate without friction. A laser focus: Revenue Cycle Management innovations powered by automation, AI, and reimagined processes — including work on advanced Administrative and Clinical Reasoning Models. A future‑ready mindset: We’re here to help Ensemble evolve rapidly while protecting what makes us exceptional. Why It Matters The future of healthcare isn’t waiting — and neither are we. Orchestration Works positions Ensemble to stay ahead of industry shifts, unlock new performance breakthroughs, and deliver smarter, faster, more reliable results for the organizations we serve. Position Overview 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). This role focuses on driving end-to-end automation of the Accounts Receivable (AR) Follow-Up function through scalable, production-grade data models built in a Databricks Lakehouse environment using dbt. Beyond traditional analytics engineering, this role will help lay the foundation for AI-enabled AR workflows — including intelligent account prioritization, denial pattern detection, predictive insights, and workflow optimization. You will design trusted data products that power both deterministic automation and AI/ML initiatives. 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. You will partner closely with operations, product, data science, architecture, and engineering leaders to translate AR workflows into reliable, automated, and AI-ready data solutions that improve operational efficiency and accelerate cash outcomes.

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.

Nice To Haves

• 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.

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

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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level