Sr. Engineer, Data

Ensemble Health Partners is a leading provider of technology-enabled revenue cycle management solutions for health systems. The Senior Data Engineer plays a critical role in implementing Ensemble’s data engineering strategy, focusing on building scalable, reusable data pipelines and platforms that enable analytics and operational reporting.

Responsibilities:

• 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

Requirements:

• 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
• High attention to detail and a strong sense of ownership
• 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
• Familiarity with HL7 or EDI is a plus