Data Specialist (Healthcare Data & Integration)

Medisolv•Clarksville, MD

About The Position

Data is at the core of how Medisolv helps 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.

Requirements

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
Onboard with the data team and gain familiarity with tools, workflows, and data infrastructure
Learn Medisolv’s data model, integration standards, and regulatory requirements
Review existing pipelines, mappings, and reporting tools
Begin supporting basic data ingestion and integration task
Take ownership of assigned data integration and pipeline tasks
Develop and optimize data workflows in Azure
Begin independently identifying and resolving data discrepancies
Collaborate with teams to improve data quality and integration processes
Deliver accurate, reliable data integrations that meet client and regulatory requirements
Troubleshoot complex pipeline and integration issues across systems
Build strong working relationships with cross-functional teams and clients
Implement process improvements to enhance efficiency and scalability
Serve as a subject matter expert in Medisolv’s data pipelines, models, and integration processes
Contribute to scaling data architecture and supporting advanced data initiatives (e.g., AI, analytics)
Standardize best practices and improve integration strategies
Support onboarding and rollout of data solutions across new clients
Proactive Problem Solver: Takes initiative and drives work from concept to completion
Collaborative: Builds strong partnerships across technical and non-technical teams
Adaptable: Thrives in a fast-growth environment and embraces change
Detail-Oriented: Ensures accuracy and reliability in complex data systems
Growth-Minded: Continuously learns and improves processes and technologies
Resilient: Approaches challenges with a solutions-focused mindset
Candidates must successfully complete a pre-employment background check and be legally authorized to work in the United States, as sponsorship is not available.

Nice To Haves

Blend of data engineering + client-facing data integration (rare hybrid skillset)
High impact on customer success and product outcomes
Exposure to modern data stack + healthcare domain
Opportunity to grow into SME or advanced data engineering roles

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