[Hiring] Data Specialist @Medisolv Inc

Role Description

As a Data Specialist at Medisolv, 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.

• 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

Qualifications

• 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

Performance Objectives

In your first 30 days, you will:

• 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 tasks

In your first 3 months, you will:

• 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

In your first 6 months, you will:

• 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

In your first 12 months, you will:

• 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

Benefits

• 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