Data Specialist (Healthcare Data & Integration) at Medisolv Inc

Columbia, Maryland, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Sep, 26

Salary

0.0

Posted On

04 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Factory, SQL Server, ETL/ELT, Data Modeling, Databricks, Snowflake, EMR Data Integration, Power BI, Sisense, Data Validation, Healthcare Data Analysis, Pipeline Optimization

Industry

Hospitals and Health Care

Description

Description 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 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 Reporting & Continuous Improvement 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 What You’ll Accomplish - Your 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 task 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 Who We’re Looking For - The Personal Competencies That Matter 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 Why You’ll Love Working Here 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 Ready to join us on this exciting journey? Apply now and help us transform healthcare through the power of data! 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. Candidates must successfully complete a pre-employment background check and be legally authorized to work in the United States, as sponsorship is not available.

Responsibilities

Develop and optimize scalable data pipelines using Azure technologies to ingest and transform healthcare EMR data. Collaborate with cross-functional teams and clients to ensure data quality and accuracy for quality reporting solutions.