Thank you for considering a career at Ensemble!
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. 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:
The Senior Data Engineer plays a critical role in implementing Ensemble’s data engineering strategy. This role focuses on building scalable, reusable data pipelines and platforms that enable analytics, operational reporting, and innovation across the organization. The engineer partners closely with peers and stakeholders, influences engineering standards through design and code reviews, and contributes directly to long-term platform modernization.
Develop, test, deploy, monitor, and continuously improve scalable data pipelines and API integrations.
Apply generative AI tools in day-to-day engineering work to accelerate development and improve quality.
Translate product and business concepts into incremental, high-quality technical deliverables.
Contribute through hands-on design sessions and thorough code reviews.
Implement data quality monitoring to ensure accurate, reliable production data.
Review and recommend architectural patterns aligned with enterprise platforms and best practices.
Consistently applies generative AI in day‑to‑day engineering work - using it to accelerate development, improve code quality, troubleshoot complex systems, and design scalable data solutions.
6+ years of hands-on experience developing solutions using Microsoft SQL.
3+ years working with big data technologies such as Databricks, Apache Spark, Python, and Microsoft Azure (ADF, Dataflows, Azure Functions, Service Bus).
Strong understanding of engineering fundamentals including automated testing, code reviews, telemetry, iterative delivery, and DevOps.
Experience with polyglot storage architectures including relational, columnar, key-value, and graph systems.
Hands-on experience with Delta Lake tables and Parquet data stored in ADLS.
Experience building distributed, componentized applications using event-driven patterns.
Ability to communicate effectively with both technical and non-technical, globally distributed audiences.
Solid foundation in software architecture, design patterns, and engineering best practices.
Experience working with healthcare datasets; familiarity with HL7 or EDI is a plus.
High attention to detail and a strong sense of ownership.
This position pays between $101,600 - 175,200 based on experience
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.
This is a remote position; however, candidates must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require.
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Join an award-winning company
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
Innovation
Work-Life Flexibility
Leadership
Purpose + Values
Bottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include:
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.
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. If you require accommodation in the application process, please contact [email protected].
This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role’s range.
Employment Disclaimers – Ensemble
