Data Engineer

🔥 2 hours ago

🎸 Tennessee – Remote

🎸 Tennessee – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Medisolv, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1999

🏥 Healthcare

☁️ SaaS

🤝 B2B

💰 Private equity on 2023-06

Healthcare • SaaS • B2B

Medisolv is a healthcare quality measurement and analytics company that provides a purpose-built software platform and services to help hospitals and health systems meet regulatory reporting requirements and improve clinical performance. Its offerings include compliance-focused reporting packages for CMS and The Joint Commission (hospital eCQMs, abstracted/hybrid/PRO-PM measures), clinician-level MIPS and MVP reporting, ACO/APP reporting, and performance analytics through its QualityIQ product. Medisolv also provides advisory and advanced quality improvement (AQI) consulting/subscription services, benchmarking tools (e. g. , Hospital Star Rating Analyzer), and a customer/community resource center to support continuous quality improvement.

📋 Description

• Work closely with Medisolv clients to extract, transform and load clinical, financial and administrative healthcare data and health plan data. • Assist in loading and troubleshooting data issues from EHR vendor products (including but not limited to: Epic, Meditech, Cerner and EClinicalWorks). • Support CMS quality measures (HEDIS/Stars) and fuel downstream AI workflows. • Integrate with the data management team and become familiar with workflows and tools in Azure and AWS environments (Snowflake, Databricks, Data Factory, Glue, Lambda, SQL Server). • Review existing data pipelines, data models, and transformation scripts to support troubleshooting. • Investigate technical and data-related issues affecting measure results and mapping (e.g., SNOMED, ICD-10, RXNORM). • Apply SQL querying skills to 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.

🎯 Requirements

• 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 regulatory data, is a plus.

🏖️ Benefits

• 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.