DATA ENGINEER

The Data Engineer at Healthfuse designs, builds, and maintains the data platform infrastructure that supports internal operations and client-facing workflows. This role emphasizes Microsoft Fabric-based pipelines, Azure Service Bus integrations, and SQL-driven data development with validation across end-to-end stages.

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 and warning notifications, report refresh completions, and portal-facing report data relay
• Develop and maintain event-driven processing workflows to reduce 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 maintain integrity across all pipeline stages
• Support the identification and development of hospital clients’ baseline revenue cycle vendor performance datasets
• Contribute to the customization and development of Healthfuse 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 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)

Education

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

Technologies

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

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 for accessing 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, 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, detail-oriented, and collaborative
• Excellent verbal and written communication skills
• Ability to work independently and effectively in a fast-paced, high-growth environment

Location and Experience

• Location: United States (onsite)
• Minimum experience: 3 years

Benefits

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

How to Apply

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