Healthfuse is a company that empowers healthcare leaders to focus on building healthier communities through innovative technology and analytics. The Data Engineer will design, build, and maintain the data platform infrastructure, focusing on developing Fabric-based data pipelines and ensuring data integrity across all products.

Responsibilities:

Design, build, and maintain data pipelines and lakehouses within Microsoft Fabric
Architect and implement Azure Service Bus integrations to enable bidirectional communication between the web platform and Fabric — including event triggers for spec table changes, file error/warning notifications, report refresh completions, and portal-facing report data relay
Develop and maintain event-driven processing workflows to replace manual, BIA-driven file handling
Collaborate with platform and product stakeholders to ensure Fabric outputs are accurately surfaced in the web portal
Design and develop ETL workflows and datasets using Alteryx or an equivalent data transformation tool
Write complex SQL queries across multiple tables using advanced joins, CTEs, and window functions (MSSQL)
Prepare technical specifications and documentation for ETL workflows supporting data and reporting pipelines
Perform end-to-end data validation to ensure integrity across all pipeline stages
Support identification and development of hospital clients' baseline revenue cycle vendor performance datasets
Contribute to the customization and development of Healthfuse's client reporting packages
Assist in the research and analysis of quantitative and qualitative performance data for healthcare revenue cycle vendors

Requirements:

3–5 years of professional Data Engineering experience
Hands-on experience with Microsoft Fabric (lakehouses, pipelines, notebooks)
Experience with Azure Service Bus or equivalent event-driven messaging services
Strong proficiency in MSSQL and complex SQL development
Experience with Python for data engineering and pipeline automation
Experience with Alteryx or an alternative ETL/data transformation tool (e.g., dbt, SSIS, Azure Data Factory)
Strong analytical, problem-solving, and troubleshooting abilities
Experience designing event-driven and microservices-based data architectures
Experience integrating AI and machine learning capabilities into data platforms and pipelines, including Azure AI Services, OpenAI APIs, and embedded ML solutions within Microsoft Fabric
Familiarity with natural language querying and AI-assisted analytics tools that enable users to access insights without relying on technical resources
Experience building or supporting LLM-powered workflows, AI-enhanced data products, or intelligent automation solutions within a data engineering environment
Experience with GitHub and/or Azure DevOps (ADO) for version control and collaborative development
Healthcare and Revenue Cycle Management industry experience preferred
Strong project management skills with the ability to define, manage, and continuously improve processes independently
Strong written communication skills, including the ability to clearly document technical specifications, architecture decisions, and development standards
Self-motivated, highly organized, detail-oriented, and collaborative
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience
Proficiency with Microsoft Fabric, Azure services, SQL, Python, and ETL/ELT technologies
Excellent verbal and written communication skills
Ability to work independently and effectively in a fast-paced, high-growth environment
Strong analytical and problem-solving skills with a focus on data quality, accuracy, scalability, and platform reliability

Healthfuse

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Engineering

Data Engineer