Data Engineer

Why We Need You – The Mission

Are you a data professional who enjoys both building robust data systems and turning data into actionable insights? Medisolv, a national leader in healthcare quality data management solutions, is seeking a Data Engineer/Analyst to join our growing team. We empower over 1,800 hospitals and 15,000 providers with our all-in-one ENCOR platform, helping transform patient care through meaningful analytics and data-driven performance improvements.

Backed by Bessemer Venture Partners Forge, Medisolv is experiencing rapid growth—making this the perfect time to make an impact.

As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and load clinical, financial and administrative healthcare data and health plan data to feed our suite of reporting and analytics products. You will assist the data team with loading and troubleshooting data issues from EHR vendor products (including but not limited to: Epic, Meditech, Cerner and EClinicalWorks).

You will also assist the data team in supporting CMS quality measures (HEDIS/Stars) and fuel our downstream AI workflows.

• Impactful Mission:
  Help improve patient care nationwide by developing reliable data pipelines and meaningful analytics that drive better outcomes.
• Innovative Environment:
  Work with modern Azure-based technologies and contribute to data-driven and AI-enhanced initiatives.
• Growth Opportunity:
  Be part of a collaborative, high-performing team shaping the future of healthcare data and reporting.

• Integrate with the data management team and become familiar with workflows and tools in our Azure and AWS environments (Snowflake, Databricks, Data Factory, Glue, Lambda, SQL Server).
• Review existing data pipelines, data models, and transformation script to understand current processes and support troubleshooting of data related issues.

• Investigate technical and data-related issues across EHRs and Data load platforms, especially those affecting measure results and mapping (e.g., SNOMED, ICD-10, RXNORM).
• Apply SQL querying skills to directly investigate data anomalies within Databricks and Snowflake environments.
• Troubleshoot data pipelines to support internal operations and client deliverables.
• Perform data analysis to identify trends, discrepancies, and opportunities for improvement.
• Collaborate with cross-functional teams to gather requirements and enhance data quality and reporting outputs.

• Develop and deliver dashboards, reports, and visualizations that support business and client decisions.
• Monitor data quality, troubleshoot issues, and drive improvements in data integrity and consistency.
• Partner with stakeholders to translate data into actionable insights aligned with business goals.

• Lead enhancements to data architecture, reporting capabilities, and data processes.
• Support advanced analytics initiatives, including predictive insights and AI-driven solutions.
• Document processes and establish best practices to ensure scalability, reliability, and consistency as the organization grows.

• 4–7+ years of experience in data engineering, data analysis, or a hybrid role.
• Strong proficiency in SQL and experience working with large, complex datasets.
• Hands‑on experience with Azure and/or AWS cloud compute platforms using tools such as Snowflake, Databricks, Data Factory, Glue, Azure Functions and Lambda.
• Experience building and maintaining ETL/ELT pipelines and data models.
• Ability to analyze data, identify trends, and provide actionable insights to stakeholders.
• Ability to map payer data:
  Get into the weeds of core health plan files.
• Exposure to CMS & HEDIS Logic.
• Experience creating dashboards and reports using tools such as Power BI or similar.
• Strong problem‑solving skills and attention to detail with a focus on data accuracy and quality.
• Ability to work cross‑functionally and communicate technical concepts to non‑technical audiences.
• Healthcare data experience, including familiarity with clinical or…