Ensemble RCM LLC supports healthcare revenue cycle teams with reliable data infrastructure that enables analytics, reporting, and operational efficiency. In this role, you will design, build, and optimize scalable data pipelines, API integrations, and data architectures, with a focus on data quality, security, performance, and compliance. You will also apply generative AI in day-to-day engineering work to accelerate development and improve code quality.
Benefits that support your life and growth
- Associate Benefits – 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 – professional development with each associate earning a professional certification relevant to their field and obtaining tuition reimbursement.
- Recognition – quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.
What you will do
- Develop, test, deploy, monitor, and continuously improve scalable data pipelines and API integrations.
- Use generative AI in day-to-day engineering 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 contribute through thorough code reviews.
- Implement data quality monitoring to keep production data accurate and reliable.
- Review and recommend architectural patterns aligned with enterprise platforms and best practices.
What you bring
- 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: 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 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 a strong sense of ownership.
Core tools you will use
Microsoft SQL, Databricks, Apache Spark, Python, Microsoft Azure, ADF, Dataflows, Azure Functions, Service Bus, Delta Lake, Parquet, ADLS
Role impact
The Senior Data Engineer role is critical to designing, developing, and optimizing data solutions that support healthcare revenue cycle operations. You will help ensure data integrity, scalability, and performance across complex systems, enabling actionable insights and operational efficiency. The work involves building and maintaining robust pipelines, architectures, and integrations for enterprise analytics and reporting, while supporting governance and compliance initiatives for healthcare data standards.
Location: Blue Ash, OH (remote)
Compensation: USD 101,600 - 152,400 per yearly
Minimum Experience: 6 years
