Data Specialist (Healthcare Data & Integration)

Medisolv, Inc. is a company focused on improving healthcare quality through actionable data insights. As a Data Specialist, you will bridge raw client data with actionable insights by supporting data engineering and integration efforts, ensuring that healthcare data is accurately ingested, transformed, and validated within the platform.

Responsibilities:

• 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
• 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
• Work closely with teams across Implementation, Customer Success, Product, and Engineering to resolve data issues
• Partner with clients to align data integration processes with Medisolv best practices
• Support production rollouts and onboarding of new client data integrations
• Translate data challenges into actionable solutions for both technical and non-technical stakeholders
• Contribute to reporting, dashboards, and visualization tools (e.g., Sisense, Power BI)
• Document workflows, best practices, and data integration standards
• Identify opportunities to automate repetitive processes and improve efficiency
• Help evolve Medisolv’s data architecture and integration standards

Requirements:

• Experience with Azure technologies (e.g., Azure Data Factory, SQL Server)
• Experience building and supporting ETL/ELT workflows
• Ability to maintain data models and ensure data quality, consistency, and performance across systems
• Experience with big data environments (e.g., Databricks, Snowflake)
• Ability to monitor pipeline performance and troubleshoot failures or inefficiencies
• Experience configuring and managing ingestion of EMR data
• Ability to map and validate clinical and encounter data
• Experience identifying and resolving data discrepancies, formatting issues, and integration gaps
• Ability to validate data transformations and ensure compliance with standards and regulatory requirements
• Experience collaborating with cross-functional teams to resolve data issues
• Ability to translate data challenges into actionable solutions for both technical and non-technical stakeholders
• Experience contributing to reporting, dashboards, and visualization tools (e.g., Sisense, Power BI)
• Ability to document workflows, best practices, and data integration standards
• Experience identifying opportunities to automate repetitive processes and improve efficiency
• Ability to evolve data architecture and integration standards
• Proactive problem solver who takes initiative and drives work from concept to completion
• Collaborative and builds strong partnerships across technical and non-technical teams
• Adaptable and thrives in a fast-growth environment
• Detail-oriented and ensures accuracy and reliability in complex data systems
• Growth-minded and continuously learns and improves processes and technologies
• Resilient and approaches challenges with a solutions-focused mindset