Data Engineer

Ensemble Health Partners provides technology-enabled revenue cycle management solutions for health systems. The Data Engineer II designs, develops, deploys, and maintains reliable data pipelines and API integrations supporting analytics, operational reporting, and data-driven decision-making. The role also contributes to data quality, monitoring, documentation, platform modernization, and engineering best practices.

Responsibilities:

• Develop, test, deploy, and maintain data pipelines and API integrations using established patterns and standards
• Use generative AI tools to assist with development, troubleshooting, and improving code quality under guidance
• Translate well-defined product and business requirements into reliable technical solutions
• Participate in design discussions and contribute to code reviews to improve solution quality and consistency
• Implement and support data quality checks to ensure accurate and reliable production data
• Follow approved architectural patterns and contribute feedback for continuous improvement
• Monitor pipelines and resolve data issues in partnership with senior engineers
• Document solutions, processes, and operational considerations clearly for reuse and support

Requirements:

• 3+ years of hands-on experience developing solutions using Microsoft SQL
• 2+ years of experience with big data and cloud technologies such as Databricks, Apache Spark, Python, and Microsoft Azure (ADF, Dataflows, Azure Functions, Service Bus)
• Working knowledge of engineering fundamentals including automated testing, code reviews, telemetry, and DevOps practices
• Experience working with EDI
• Experience working with modern data storage formats such as Delta Lake and Parquet in ADLS
• Familiarity with distributed data processing and event-driven architectures
• Ability to collaborate effectively with technical and non-technical partners
• Strong attention to detail and accountability for owned deliverables
• 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
• Due to business, operational, payroll, and regulatory requirements, this position is limited to individuals who reside and are authorized to work within the United States
• Experience working with healthcare data is preferred; familiarity with HL7 or EDI is a plus