Ensemble Health Partners, India

Ensemble Health Partners India is at the forefront of innovation in the Revenue Cycle Management (RCM) space, leveraging modern technology to drive meaningful, real-world impact. Our future-ready platforms bring together AI-driven analytics, intelligent data ingestion, workflow automation, and business intelligence built on a scalable, cloud-native architecture. Our AI-powered solutions are actively running in production, continuously optimizing processes and delivering data-driven insights at scale. With the second largest market share in the U.S. RCM industry, a global workforce of 15,000+ professionals, and 12 technology patents, we deliver results through strong teams, proven processes, and flexible, modern technologies. As part of our continued growth, we have launched our Global Capability Center (GCC) in Hyderabad designed to serve as a strategic extension of our global operations. The GCC brings together technology, analytics, and RCM expertise to build scalable solutions, accelerate innovation, and support our long-term vision of transforming healthcare operations. At Ensemble Health Partners India, we foster a culture of growth, collaboration, and innovation where your expertise is valued, your ideas are heard, and your work makes a measurable impact.

Engineer II, Data

Data EngineerData EngineerFull TimeRemoteMid LevelTeam 501-1,000

Location

India

Posted

46 days ago

Salary

0

Seniority

Mid Level

Job Description

Engineer II, Data

Ensemble Health Partners, India

Engineer, Data Job Code I55P01 FLSA Status Exempt Reports To Title # of Direct Reports Job Level Individual Contributor Last Updated Date 4/09/2026 12:02:01 PM I. Job Summary By embodying our core purpose of customer obsession, new ideas, and driving innovation, and delivering excellence, you will help ensure that every touchpoint is meaningful and contributes to our mission of redefining the possible in healthcare. The Engineer II, Data is primarily responsible for building and operating reliable data integrations and data platform capabilities that move sensitive healthcare data securely and consistently. This includes creating new source ingestions feeds and interfaces; maintaining and troubleshooting existing interfaces; improving ingestion, validation, and monitoring; and partnering with stakeholders to deliver analytics, warehousing, and reporting solutions. This role also contributes to platform engineering practices by automating environments, standardizing deployments, and improving observability and reliability for data services. II. Job Competencies Valuing Differences - Works effectively with individuals of diverse cultures, interpersonal styles, abilities, motivations, or backgrounds; seeks out and uses unique abilities, insights, and ideas. Considers the collective. Collaboration - Works cooperatively within teams and partners with others, both internally and externally as needed, to achieve success; focuses on the results of the team, not the achievements of one person. It's "All for One and One for All" Accountability - Accepts personal responsibility and/or consequences of failure and successes, delivering on commitments and refocusing effort when needed. Someone who is willing to step up and own it. Time Management - Effectively manages personal time and resources to ensure that work is completed efficiently. Developing Trust - Gains others' confidence by acting with integrity and following through on commitments; treats others and their ideas with respect and supports them in the face of challenges. Takes Initiative - Takes prompt action to accomplish goals and achieve results beyond what is required; is proactive and pursues relentlessly. III. Essential Job Functions 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. Implement changes and enhancements in our internal flat file and message processing services Communicate with our clients and their technical stakeholders via meetings, calls, and emails regarding our data integration Assist other team members of the organization with data related inquiries and issues as they arise Automate and standardize data platform deployments using infrastructure as code and CI/CD to improve consistency, security, and release velocity Aid in the development and design of analytics projects as necessary like modifying reporting queries and creation of new data visualizations Create new data warehousing objects, views, procedures as needed to further streamline and enhance our reporting and visualization capabilities Discover opportunities for an organization to improve its systems, enterprises, and processes through the use of data analytics Maintain documentation related to datasets and analysis and ensuring that everyone on the data team uses the same language and definitions 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. This document is not an exhaustive list of all responsibilities, skills, duties, requirements, or working conditions associated with the job. Associates may be required to perform other job related duties as required by their supervisor, subject to reasonable accommodation. IV. Employment Qualifications Desired Work Experience Job Experience People Leadership Experience 3 to 5 Years NA Desired Education Education Level Preferred Area of Study Bachelors Degree or Equivalent Experience Computer Science Other Preferred Knowledge, Skills and Abilities • 2+ years of coding experience with Microsoft SQL • 1+ years working with big data technologies including but not limited to Databricks, Apache Spark, Python, Microsoft Azure (Data Factory, Dataflows, Azure Functions, Azure Service Bus) with a willingness and ability to learn new ones • Understanding of engineering fundamentals: testing automation, code reviews, telemetry, iterative delivery and DevOps • Experience with polyglot storage architectures including relational, columnar, key-value, graph or equivalent • Some experience with BI tools, preferably Power BI • Some experience with cloud-based infrastructure, preferably Microsoft Azure • Experience with infrastructure as code and configuration management (e.g., Terraform) and environment standardization • Familiarity with operational excellence practices such as incident response and runbooks • Understanding of security fundamentals for cloud platforms (identity and access management, secrets management, encryption, and audit logging) • Experience packaging and running services using containers and orchestration (e.g., Docker, Kubernetes) and/or serverless patterns • Experience with CI/CD, version control, and release automation for data pipelines and platform components (e.g., Azure DevOps/GitHub Actions) Exposure to AI tools for development, productivity, or operational automation • Very strong attention to detail IV. Working Conditions Environment Applicable Requires Long Distance or Air Travel No Requires Travel to Various Work Locations by Car No General Office Environment or Work From Home Yes Clinical Environment - (Exposure to common hazards present in a healthcare facility including but not limited to; blood and other infectious materials, latex products, physical altercations and verbal abuse, high noise levels, and bright lights) No

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