DATA ENGINEER

The Data Engineer role at Healthfuse focuses on designing, building, and maintaining the data platform infrastructure behind internal operations and client-facing reporting. This position emphasizes Microsoft Fabric pipelines, Azure Service Bus integrations, SQL development, and end-to-end data validation.

Responsibilities

• Design, build, and maintain data pipelines and lakehouses within Microsoft Fabric.
• Architect and implement Azure Service Bus integrations to support bidirectional communication between the web platform and Fabric, including event triggers for spec table changes, file error and warning notifications, report refresh completions, and portal-facing report data relay.
• Develop and maintain event-driven processing workflows that replace manual, BIA-driven file handling.
• Collaborate with platform and product stakeholders to ensure Fabric outputs are correctly surfaced in the web portal.
• Design and develop ETL workflows and datasets using Alteryx or an equivalent data transformation tool.
• Write complex MSSQL queries across multiple tables using advanced joins, CTEs, and window functions.
• Prepare technical specifications and documentation for ETL workflows supporting data and reporting pipelines.
• Perform end-to-end data validation to ensure data integrity across pipeline stages.
• Support the 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 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 an equivalent event-driven messaging service.
• 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).

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 practica.

Preferred 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 allow users to access insights without relying on technical resources.
• Experience building or supporting LLM-powered workflows, AI-enhanced data products, or intelligent automation solutions in 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, including independently defining, managing, and continuously improving processes.
• Strong written communication skills for documenting technical specifications, architecture decisions, and development standards.
• Self-motivated, highly organized, detail-oriented, and collaborative approach.
• Excellent verbal and written communication skills.
• Ability to work independently and effectively in a fast-paced, high-growth environment.

Benefits

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

Location

United States (onsite)

How to Apply

1. Fill in your personal information and cover letter.
2. Upload your resume.
3. Fill in and upload an application.