DATA ENGINEER

The Data Engineer at Healthfuse designs, builds, and maintains the data platform that supports internal systems and client-facing workflows. This onsite role in the United States focuses on Microsoft Fabric-based pipelines and Azure Service Bus integrations, with responsibility for both automated processes and legacy ETL validation.

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.
• Configure event triggers for spec table changes, file error or 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.
• Work 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 transformation tool.
• Write complex MSSQL queries across multiple tables, using advanced joins, CTEs, and window functions.
• Create technical specifications and documentation for ETL workflows supporting data and reporting pipelines.
• Perform end-to-end data validation across all pipeline stages to ensure data integrity.
• Support identification and development of hospital clients’ baseline revenue cycle vendor performance datasets.
• Contribute to customization and development of Healthfuse client reporting packages.
• Assist with 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, such as dbt, SSIS, or Azure Data Factory.

Technologies

• Microsoft Fabric
• Azure Service Bus
• MSSQL / SQL
• Python
• Alteryx, dbt, SSIS, Azure Data Factory

Education

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.

Benefits

• Competitive salary
• Bonus opportunity
• Comprehensive health benefits
• 401k with company match
• Generous time off

Desired Qualifications

• 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 insight access without relying on technical resources.
• Experience building or supporting LLM-powered workflows, AI-enhanced data products, or intelligent automation solutions in a data engineering context.
• 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, including the ability to define, manage, and continuously improve processes independently.
• Strong written communication skills, including documenting technical specifications, architecture decisions, and development standards.
• Self-motivated, highly organized, and detail-oriented, with collaborative working style.
• Excellent verbal and written communication skills.
• Ability to work independently and effectively in a fast-paced, high-growth environment.

Location

United States (onsite)

How to Apply

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