Data Engineer

Medisolv Inc.; Clarksville (TN); On-site; USD 80,000 - 110,000; Full time

Job summary

Medisolv Inc. in Clarksville, TN, is looking for a Data Engineer/Analyst to support our healthcare data initiatives. The role involves building robust data systems, managing data pipelines, and delivering actionable analytics to improve patient care.

Ideal candidates will have a strong background in SQL, experience with Azure and AWS platforms, and a collaborative spirit.

Qualifications

• 4–7+ years of experience in data engineering or analysis.
• Ability to analyze data and provide actionable insights.
• Experience with building and maintaining ETL/ELT pipelines.

Responsibilities

• Extract, transform, and load healthcare data.
• Develop and deliver dashboards and reports.
• Collaborate with teams to enhance data quality.

Skills

SQL proficiency

Data analysis

Problem-solving skills

Data pipeline development

Collaboration

Tools

Azure

AWS

Power BI

Snowflake

Databricks

Job description

Are you a data professional who enjoys both building robust data systems and turning data into actionable insights? Medisolv, a national leader in healthcare quality data management solutions, is seeking a Data Engineer/Analyst to join our growing team.

We empower over 1,800 hospitals and 15,000 providers with our all-in-one ENCOR platform, helping transform patient care through meaningful analytics and data-driven performance improvements. Backed by Bessemer Venture Partners Forge, Medisolv is experiencing rapid growth—making this the perfect time to make an impact.

As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and load clinical, financial and administrative healthcare data and health plan data to feed our suite of reporting and analytics products. You will assist the data team with loading and troubleshooting data issues from EHR vendor products (including but not limited to: Epic, Meditech, Cerner and EClinicalWorks). You will also assist the data team in supporting CMS quality measures (HEDIS/Stars) and fuel our downstream AI workflows.

Why Join Medisolv?

• Impactful Mission: Help improve patient care nationwide by developing reliable data pipelines and meaningful analytics that drive better outcomes.
• Innovative Environment: Work with modern Azure-based technologies and contribute to data-driven and AI-enhanced initiatives.
• Growth Opportunity: Be part of a collaborative, high-performing team shaping the future of healthcare data and reporting.

What You’ll Accomplish - Your Performance Objectives

In your first 30 days you will:

• Integrate with the data management team and become familiar with workflows and tools in our Azure and AWS environments (Snowflake, Databricks, Data Factory, Glue, Lambda, SQL Server).
• Review existing data pipelines, data models, and transformation script to understand current processes and support troubleshooting of data related issues.

In your first 3 months, you will:

• Investigate technical and data-related issues across EHR’s and Data load platforms, especially those affecting measure results and mapping (e.g., SNOMED, ICD-10, RXNORM).
• Apply SQL querying skills to directly investigate data anomalies within Databricks and Snowflake environments.
• Troubleshoot data pipelines to support internal operations and client deliverables.
• Perform data analysis to identify trends, discrepancies, and opportunities for improvement.
• Collaborate with cross-functional teams to gather requirements and enhance data quality and reporting outputs.

In your first 6 months, you will:

• Develop and deliver dashboards, reports, and visualizations that support business and client decisions.
• Monitor data quality, troubleshoot issues, and drive improvements in data integrity and consistency.
• Partner with stakeholders to translate data into actionable insights aligned with business goals.

In your first 12 months, you will:

• Lead enhancements to data architecture, reporting capabilities, and data processes.
• Support advanced analytics initiatives, including predictive insights and AI-driven solutions.
• Document processes and establish best practices to ensure scalability, reliability, and consistency as the organization grows.

What You Bring

• 4–7+ years of experience in data engineering, data analysis, or a hybrid role.
• Strong proficiency in SQL and experience working with large, complex datasets.
• Hands‑on experience with Azure and/or AWS cloud compute platforms using tools such as Snowflake, Databricks, Data Factory, Glue, Azure Functions and Lambda.
• Experience building and maintaining ETL/ELT pipelines and data models.
• Ability to analyze data, identify trends, and provide actionable insights to stakeholders.
• Ability to map payer data: Get into the weeds of core health plan files.
• Exposure to CMS & HEDIS Logic
• Experience creating dashboards and reports using tools such as Power BI or similar.
• Strong problem‑solving skills and attention to detail with a focus on data accuracy and quality.
• Ability to work cross‑functionally and communicate technical concepts to non‑technical audiences.
• Healthcare data experience, including familiarity with clinical or regulatory data, is a plus.

Preferred Qualifications

• Experience with Azure and/or AWS platforms using Snowflake, Databricks, Delta Lakes, Spark, Python and other related technologies.
• Familiarity with healthcare data systems, EHRs, or regulatory reporting programs.
• Experience with advanced analytics, data modeling, and performance optimization.
• Exposure to AI/ML or predictive analytics initiatives.
• Experience with additional tools such as Power BI, or other visualization platforms.

Who You Are

• Technical Expert: You thrive on solving complex challenges and implementing effective solutions.
• Innovative Thinker: You embrace new technologies and continuously seek process improvements.
• Detail‑Oriented Professional: You ensure accuracy and reliability in every aspect of your work.
• AI First: You approach your work with an AI‑first mindset. You are curious about how artificial intelligence, automation, and emerging technologies can improve the way data integration work is performed. You look for opportunities to reduce manual effort, improve accuracy, accelerate issue resolution, and create more scalable workflows.
• You are a doer: You take initiative and enjoy driving tasks from inception to completion. You probably have a strong bias for action and may even become frustrated when things come to a stalemate. You use this frustration in a positive manner to drive towards a solution to move things forward.
• Collaborative: You have empathy for your colleagues. You demonstrate and influence cross‑functional collaboration within the company and seek out opportunities to build relationships with others even when difficult personalities or politics stood in the way.
• Flexible: You understand that at growth stage companies, things will evolve, and you may have to be flexible in your approach and in your expectations. You are open‑minded and adapt well to changing environments as a company grows and scales.
• You have a growth mindset: You love a challenge. You are intellectually curious and love to figure out how things work. You have a diverse set of interests inside and outside of work. You can articulate areas where you have worked hard on improving yourself over time.
• Resilient and Optimistic: You tackle challenges head‑on and turn setbacks into opportunities.

Our Values

• Customer Success Obsession
• All‑Star Team Collaboration
• Continuous Improvement powered by Curiosity & Data‑Driven Learning
• Courage with Kindness
• Execution Focus: We Do Business, Not Just Talk Business

Ready to Make an Impact?

Apply today and help transform healthcare data into meaningful insights that drive better outcomes.

Medisolv is committed to creating a diverse and inclusive workplace. We believe that diversity drives innovation, and we are dedicated to fostering an environment where all employees feel valued and respected.

All candidates must successfully pass a pre‑employment background check and be legally authorized to work in the United States. Sponsorship is not available.