Analytics Data Engineer

MedSrv, LLC.; Chattanooga (TN); On-site; USD 90,000 - 140,000; Full time

Benefits offered by this job

401k with match

Paid time off

Training and development

Competitive benefits

Job summary

MedSrv, LLC. in Chattanooga, TN, is seeking an Analytics Data Engineer to design, build, and maintain scalable data models and pipelines for AI-driven solutions in healthcare.

You will enable AI agents to interact with Revenue Cycle Management data and collaborate across data engineering, analytics, and BI teams to ensure data accuracy, scalability, and accessibility. Responsibilities include building semantic data models in Fabric, ETL workflows with SSIS, Python, and SQL; crafting dashboards

Qualifications

• Bachelor’s or Master’s in Computer Science, Data Engineering, Analytics, or related field
• 3+ years of experience in data engineering, data modeling, analytics, or BI
• Strong Python skills (ETL, analysis, visualization)
• Advanced SQL proficiency
• Experience with Microsoft Fabric and Power BI
• Advanced Excel skills
• Familiarity with GitHub, CI/CD, and version control
• Experience building scalable data pipelines and working with diverse data sources
• Ability to perform complex data analysis and create dashboards

Responsibilities

• Design semantic data models and optimize data structures for scalability and usability.
• Build and maintain ETL workflows using SSIS, Python, and SQL.
• Create dashboards and reports in Power BI, Excel, and Fabric; provide ad hoc insights.
• Develop data validation rules and automated testing for ETL processes and models.
• Prepare data for AI agent training and collaboration with AI/data science teams.
• Use GitHub and CI/CD pipelines for version control and deployment.

Skills

Python

SQL

Power BI

Microsoft Fabric

ETL

GitHub

CI/CD

Data Modeling

Education

Bachelors in CS/Engineering

Masters in CS/Analytics

Tools

Power BI

Microsoft Fabric

Excel

GitHub

CI/CD

Python

SQL

Job description

As the healthcare industry continues to grow, so does the need for consistent, effective Revenue Cycle Management. AtMedSrv,we believe it takes more than just technology and technical expertise to make a difference. It takesinnovation,awillingness to adapt,and apassion to be the best. We are the difference in Revenue Cycle Management – guided by faith and committed to serving with integrity and compassion.

Position Overview

We are seeking an Analytics Data Engineer to design, build, and maintain scalable data models and pipelines that support advanced analytics and AI-driven solutions in the healthcare space. In this role, you will play a key part in enabling AI agents to interact with complex healthcare datasets, including Revenue Cycle Management (RCM) workflows to deliver meaningful insights to end users. You will collaborate across data engineering, analytics, and business intelligence teams, using modern tools and frameworks to ensure data accuracy, scalability, and accessibility. By preparing and modeling healthcare data for AI, you will help develop intelligent solutions that enhance operational efficiency, streamline billing processes, and improve decision‑making across the revenue cycle.

What You’ll Do

• Design and implement semantic data models in Microsoft Fabric.
• Optimize data structures for scalability, performance, and usability.

ETL & Data Integration

• Build and maintain ETL workflows using SSIS, Python, and SQL.
• Integrate data from diverse sources into centralized analytics repositories.

Analytics & Reporting

• Conduct advanced analysis using Python and SQL.
• Build dashboards and reports in Power BI, Excel, and Fabric.
• Provide ad hoc insights to stakeholders.

Data Validation & Quality Assurance

• Create validation rules ensuring data accuracy and consistency.
• Develop automated testing frameworks for ETL processes and data models.

AI Enablement

• Prepare and structure data for AI agent training and interaction.
• Collaborate with AI and data science teams to ensure readiness for model development.

Automation & CI/CD

• Use GitHub and CI/CD pipelines for version control and deployment.
• Automate workflows to reduce manual effort and enhance reliability.
• Partner with analysts, engineers, and operations teams to meet business needs.
• Ensure adherence to data governance, security, and compliance standards.

What We’re Looking For

• Bachelor’s or Master’s in Computer Science, Data Engineering, Analytics, or related field
• 3+ years of experience in data engineering, data modeling, analytics, or BI
• Strong Python skills (ETL, analysis, visualization)
• Advanced SQL proficiency
• Experience with Microsoft Fabric and Power BI
• Advanced Excel skills
• Familiarity with GitHub, CI/CD, and version control
• Experience building scalable data pipelines and working with diverse data sources
• Ability to perform complex data analysis and create dashboards

Physical Requirements

• Able to work at a computer for extended periods.
• Occasionally lift up to 15 lbs.

Why Join Us?

• Work with a team that valuesfaith, integrity, and compassion.
• Supportive, inclusive, and casual work environment.
• Training and development to help you grow.
• Competitive benefits, paid time off, and 401k with match.

Ready to make a difference in healthcare?