Why We Need You – The Mission
Healthcare quality is complex. Medisolv helps make it manageable—and actionable.
We partner with hospitals, health systems, ACOs, and payers to bring clarity to quality data, connecting clinical and claims information into a single, reliable view. More than 1,800 organizations and 130M+ patient records rely on Medisolv to measure, report, and improve performance across 500+ measures tied to CMS, The Joint Commission, and other programs.
With support from Bessemer Venture Partners Forge, we’re continuing to grow our platform and expand our impact—investing in advanced analytics, AI, and new capabilities that help healthcare organizations stay ahead of change and improve outcomes with confidence.
At Medisolv, data is at the core of how we help healthcare organizations improve patient outcomes. As a Data Specialist, you will play a critical role in bridging raw client data with actionable insights by supporting both data engineering and data integration efforts.
This role uniquely combines data pipeline development, data modeling, and data integration, ensuring that healthcare data from EMR systems is accurately ingested, transformed, and validated within Medisolv’s platform. You will partner closely with internal teams and clients to deliver reliable, high-quality data that powers our quality reporting solutions.
What You’ll Be Doing / Who Thrives in This Role.
Data Engineering & Pipeline Development
- Develop, maintain, and optimize scalable data pipelines using Azure technologies (e.g., Azure Data Factory, SQL Server)
- Build and support ETL/ELT workflows to enable efficient data processing and transformation
- Maintain data models and ensure data quality, consistency, and performance across systems
- Expand capabilities into big data environments (e.g., Databricks, Snowflake) as needed
- Monitor pipeline performance and troubleshoot failures or inefficiencies
Data Integration & Validation
- Configure and manage ingestion of EMR data into Medisolv’s platform, including direct integrations and flat file transfers
- Map and validate clinical and encounter data to support accurate quality measure reporting
- Identify and resolve data discrepancies, formatting issues, and integration gaps
- Validate data transformations and ensure compliance with Medisolv standards and regulatory requirements
- Serve as a resource for resolving data-related issues escalated from implementation or support teams
Client & Cross-Functional Collaboration