Analytics Data Engineer

Socket.dev; Chattanooga (TN); On-site; USD 65,000 - 75,000; Full time

Job summary

MedSrv, LLC is seeking an Analytics Data Engineer to design, build, and maintain scalable data models and pipelines that support advanced analytics and AI-driven solutions in healthcare. In this role you will collaborate with data engineering, analytics, and business intelligence teams, using Microsoft Fabric, Python, SQL, and Power BI to deliver accurate insights and AI-ready data.

The position emphasizes data quality, governance, and automation, with GitHub and CI/CD pipelines for reliable

Qualifications

• Bachelor’s or Master’s in CS, Data Eng, Analytics, or related field.
• 3+ years in data engineering, data modeling, analytics, or BI.
• Strong Python skills for ETL, analysis, and 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 with diverse sources.
• Ability to perform complex data analysis and create dashboards.

Responsibilities

• Design semantic data models in Microsoft Fabric.
• Build and maintain ETL workflows using SSIS, Python, and SQL.
• Analyze data and build dashboards in Power BI, Excel, and Fabric.
• Ensure data validation and quality through automated tests.
• Prepare data for AI agent training and collaboration with AI teams.
• Use GitHub and CI/CD to automate deployments.
• Collaborate with analysts, engineers, and operations while ensuring governance.

Skills

Python

SQL

Power BI

Microsoft Fabric

GitHub

CI/CD

Data Modeling

ETL

Data Warehousing

Excel

Education

Bachelor’s or Master’s in Computer Science, Data Engineering, Analytics, or related field

Tools

GitHub

CI/CD

Microsoft Fabric

Job description

Job Title: Analytics Data Engineer

Location: Onsite

Job Type: Full-Time

Department: Information Technology

Pay: $65,000-$75,000/year

About MedSrv, LLC

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

Data Modeling & Architecture

• 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.

Collaboration & Governance

• 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.
• No weekends – enjoy work-life balance.
• Competitive benefits, paid time off, and 401k with match.

Ready to make a difference in healthcare?