DATA ENGINEER

September 22, 2026

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About Our Company

At Healthfuse, we are a dynamic team that ensures hospitals across the nation remain at peak performance, empowering healthcare leaders to focus on what truly matters—building healthier communities. How do we make this happen? By innovating the way healthcare organizations manage their vendors and strategize their revenue cycles. Every day we tackle challenges head-on through a blend of technology, analytics, and service to drive results. We transform complex issues into opportunities for growth.

Join us and be part of a forward-thinking crew that values your fresh ideas and energy. At Healthfuse, you are not just starting a job; you are kickstarting a career that makes a real difference. Ready to fuse your passion with purpose? Let us shape the future of healthcare together.

What You’ll Love About Working at Healthfuse

Innovate in Healthcare: Join a highly regarded company with 13+ years of experience serving 300+ hospitals. Be part of an ever-evolving culture where your work directly contributes to positive change in the industry and community.

Grow Your Career: Dive into a fast-paced and high-growth field. Enjoy ample opportunities for professional development and the chance to interact with amazing teammates.

Enjoy the Perks: Benefit from a competitive package that includes a competitive salary, bonus opportunity, comprehensive health benefits, a 401k with company match, and generous time off to recharge.

Job Summary

The Data Engineer designs, builds, and maintains the data platform infrastructure that powers Healthfuse’s internal and client-facing operations. This role is central to our transition from a Business Intelligence Analyst-driven workflow to a modern, automated, AI-enabled data platform built on Microsoft Fabric.

A core focus of this role is the architecture and development of Fabric-based data pipelines and service bus integrations that enable real-time communication between Healthfuse’s web platform and the Fabric processing environment. This includes event-driven messaging for spec table changes, file processing status (errors, warnings, completions) report refresh notifications surfaced through the web portal. The Data Engineer will also support legacy ETL workflows, complex SQL development, and data validation to ensure continuity and accuracy across all data products.

Core Responsibilities

Microsoft Fabric & Platform Engineering

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

ETL, Data Transformation & SQL

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

Data Analysis & Client Reporting Support

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

Required Qualifications

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)

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 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.

Excellent verbal and written communication skills.

Ability to work independently and effectively in a fast-paced, high-growth environment.