Ensemble RCM LLC builds healthcare revenue cycle data capabilities that help teams deliver actionable analytics and reporting with confidence. This remote role (based in Blue Ash, OH) focuses on designing and optimizing scalable data pipelines, API integrations, and data architectures in a highly regulated environment. You will also apply generative AI directly in day-to-day engineering to accelerate development, improve quality, and troubleshoot complex systems.
What you’ll get
- Associate Benefits – a comprehensive benefits package covering healthcare, time off, retirement, and well-being programs for you and your family.
- Growth – professional development with a certification pathway relevant to your field, plus tuition reimbursement.
- Recognition – quarterly and annual incentive programs for employees who consistently raise the bar for themselves and the company.
Responsibilities
- Develop, test, deploy, monitor, and continuously improve scalable data pipelines and API integrations.
- Use generative AI in daily engineering work to accelerate development, improve code quality, troubleshoot complex systems, and design scalable data solutions.
- Translate product and business concepts into incremental, high-quality technical deliverables.
- Participate in hands-on design sessions and perform 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.
Requirements
- 6+ years of hands-on experience developing solutions using Microsoft SQL.
- 3+ years working with big data technologies including Databricks, Apache Spark, Python, and Microsoft Azure (ADF, Dataflows, Azure Functions, Service Bus).
- Strong engineering fundamentals, including automated testing, code reviews, telemetry, iterative delivery, and DevOps.
- Experience with polyglot storage architectures across 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.
- Healthcare dataset experience; familiarity with HL7 or EDI is a plus.
- High attention to detail and strong sense of ownership.
Opportunity focus
You will play a critical role in designing, developing, and optimizing data solutions that support healthcare revenue cycle operations. The work emphasizes data integrity, scalability, and performance across complex systems to enable actionable insights and operational efficiency.
Day-to-day responsibilities include building and maintaining robust data pipelines, architectures, and integrations for enterprise analytics and reporting, while ensuring data quality and security. You will collaborate cross-functionally to turn business requirements into technical solutions, monitor system performance for reliability and scalability, and support governance and compliance initiatives tied to healthcare data standards.
Technologies: Microsoft SQL, Databricks, Apache Spark, Python, Microsoft Azure, ADF, Dataflows, Azure Functions, Service Bus, Delta Lake, Parquet, ADLS
Compensation: USD 101,600 - 152,400 per year
