• Manage and Develop a High-Performing Team: Hire, mentor, and manage a team of Data Engineers. Provide clear goals, career development guidance, and ongoing performance feedback. Foster accountability, ownership, and engineering excellence. • Own Data Engineering Execution: Oversee the design, development, and operation of scalable data pipelines and platform capabilities across our cloud data environment. Ensure reliable ingestion, transformation, and availability of structured and unstructured data. • Enforce Platform Best Practices: Implement and enforce industry best practices for data modeling, pipeline orchestration, testing, monitoring, observability, and cost efficiency across Azure-based data infrastructure (ADLS, Databricks, and related tooling). • Operational Excellence & Reliability: Define and manage SLAs for production data processes. Ensure high standards for data quality, reliability, and performance. Proactively identify risks and engineering bottlenecks before they impact the business. • Collaborate Cross-Functionally: Partner with Analytics Engineering and business stakeholders (Finance, Operations, Product, Revenue) to translate business requirements into scalable technical solutions. Ensure alignment between engineering execution and business priorities. • Support Governance & Compliance: Operationalize data governance, data protection, and compliance frameworks (including GDPR and other global requirements) in partnership with leadership. Ensure secure and responsible data management practices. • Enable BI and AI/ML Capabilities: Ensure the data platform effectively supports analytics, reporting, machine learning, and AI workloads through well-structured, discoverable, and trusted datasets. • Elevate Organizational Maturity: Improve engineering processes, documentation standards, code review rigor, deployment practices, and cross-team coordination to elevate the overall maturity of the Data Engineering function. • Partner in Planning & Roadmapping: Collaborate with the Director of Data Engineering on roadmap planning, resource allocation, and prioritization to ensure successful execution of strategic initiatives. • This role requires working overlapping hours with U.S.-based colleagues, including evening or overnight hours in India aligned to Central Standard Time (CST). • Additional duties and responsibilities as necessary.

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 Engineer, Data Integration is responsible for system integration, data ingestion, transformation and validation, coordination of integration activities and maintenance of these integrated systems. This role will be responsible for dealing with multiple data formats, but primarily healthcare data formats like HL7 v2.x. The Senior Engineer, Data Integration function is to design, build, and support HL7 interfaces using the Infor Cloverleaf Interface Engine. This individual must have working knowledge of the HL7 standard, the architecture of integration platforms, and the complexities of healthcare application integration to maximize the use of the interface engine and promote best practices during interface development. Works with the Vice President, Product and Engineering teams, Software Vendors and Customers to establish the needed business and technical requirements to ensure interfaces are properly scoped, engineered, tested, and supported. Essential Job Functions - Design and document integrations to and from client revenue cycle systems and the Ensemble Health Partners Data platforms. - Develop and implement these HL7/EDI interfaces and rest API’s using the Cloverleaf Interface Engine and .NET framework - Working knowledge of Healthcare Interoperability Protocols & Frameworks: HL7 v2/v3, X12, FHIR, JSON, etc. - Ability to participate in multiple projects at the same time. - Strong analytical and business analysis skills. - Ability to perform workflow analysis and documentation - Strong communication and interpersonal skills - Demonstrated ability to interact with multi-disciplinary teams Ensemble Required License / Certification (Ex: CRCR) ONE CERTIFICATION PER FIELD Cloverleaf Certification Or other approved job relevant certification. Desired Work Experience 5 to 7 Years Desired Education Bachelors Degree or Equivalent Experience Other Preferred Knowledge, Skills and Abilities - 5+ years Experience developing and maintaining system interfaces in the healthcare domain using the Cloverleaf Interface Engine - Working knowledge of Healthcare Interoperability Protocols & Frameworks: HL7 v2/v3, X12, FHIR, JSON, etc. - Cloverleaf Level 2+ Certified - 5+ years of experience working with Azure - Ability to participate in multiple projects at the same time. - Strong analytical and business analysis skills. - Ability to perform workflow analysis and documentation. - Strong communication and interpersonal skills - Demonstrated ability to interact with multi-disciplinary teams - Experience maintaining and optimizing back-end processes. - Data profiling, transformation and validation experience - Expert working knowledge and experience of DBMS - Preference given to candidates with Unix, Linux, TCL, Java, .NET, Azure and SQL expertise - 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. #LI-BT1 #LI-REMOTE 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 TA@ensemblehp.com. 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

• Own end-to-end delivery of data platform engagements: managing scope, timeline, budget, team coordination, and client satisfaction from kickoff through handoff • Lead cross-functional delivery teams that may include project managers, business analysts, data engineers, developers, and change management professionals — ensuring the right skills are in place at each stage • Manage engagement health proactively: identify delivery risks early, escalate appropriately, and maintain clear communication with client stakeholders throughout • Serve as the primary client relationship owner during delivery, building trust through reliable execution and transparent progress reporting • Conduct technical requirements gathering and capability assessments to establish a sound foundation for each engagement • Design and implement modern cloud data architectures across AWS, Azure, and Google Cloud — including data lakes, lakehouses, data warehouses, and real-time streaming platforms • Lead migration of legacy on-premise data systems to cloud-native architectures, ensuring performance, scalability, and cost-efficiency • Build and oversee ETL and data pipelines using cloud-native automation and orchestration tools • Design and implement machine learning infrastructure on cloud platforms — including feature stores, model training pipelines, experiment tracking, and model serving and monitoring in production • Architect data foundations that support downstream ML, AI, and agentic workflows, including intelligent document processing, knowledge retrieval, and structured/unstructured data integration • Establish and enforce data quality, governance, and observability standards across client environments, including ML model performance monitoring and drift detection • Evaluate and recommend appropriate tooling across the modern data and ML stack based on client context, capability, and long-term roadmap • Partner with sales teams as a technical authority during discovery calls, client workshops, and solution presentations • Develop proposals including solution architecture, scope of work, resource requirements, and budgetary estimates

• Working with experts within the team and cross-functionally to develop, migrate and manage portfolio of Healthcare Applications within Enterprise Data Services • Acting as a project manager/liaison between business leaders and the internal team for intaking project requirements, providing status updates and managing expectations on timelines/deliverables for all migration program activities • Collaborating with business partners to understand their problems and goals, user stories, planning, roadmap creation, data reports and performance metrics for migrating the current Business workloads from on-premises to Cloud environment • Developing and participating in presentations and consultations to existing and prospective constituents on analytics results and solutions • Interacting with internal and external peers and managers to exchange complex information related to areas of specialization • Using knowledge in SQL to investigate problems, detect patterns and recommend solutions • Implementing data security measures to protect sensitive information and ensure compliance with data and privacy regulation • Creating/maintaining documentation for data processes, data flows and system configurations • Promoting engineering excellence by simplifying, optimizing, and automating processes and workflows • Innovating by leveraging and practicing agile techniques to achieve efficiency, boost productivity and improve processes • Supporting all phases of software life engineering including ideation, refinements, analysis, development, and deployment while adhering to agile software development methodology.