Data Engineer

This is a fully remote position, open to applicants in Tennessee.

📋 Description

• Collaborate closely with Medisolv clients to extract, transform, and load clinical, financial, administrative healthcare data, and health plan information.

• Aid 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 facilitate downstream AI workflows.

• Work in conjunction with the data management team, becoming familiar with workflows and tools in Azure and AWS environments such as Snowflake, Databricks, Data Factory, Glue, Lambda, and SQL Server.

• Review current data pipelines, data models, and transformation scripts to assist in troubleshooting.

• Investigate technical and data-related issues that may impact measure results and mapping, including SNOMED, ICD-10, and RXNORM.

• Utilize SQL querying skills to analyze data anomalies within Databricks and Snowflake environments.

• Troubleshoot data pipelines to support internal operations and client deliverables.

• Conduct data analysis to uncover trends, discrepancies, and areas for improvement.

• Collaborate with cross-functional teams to gather requirements and enhance data quality and reporting outputs.

• Design and deliver dashboards, reports, and visualizations that support business and client decision-making.

• Monitor data quality, resolve issues, and promote improvements in data integrity and consistency.

• Partner with stakeholders to convert data into actionable insights aligned with business objectives.

• Lead enhancements to data architecture, reporting capabilities, and data processes.

• Support advanced analytics projects, including predictive insights and AI-driven solutions.

• Document processes and establish best practices to ensure scalability, reliability, and consistency as the organization expands.

⛳️ Requirements

• 4–7+ years of experience in data engineering, data analysis, or a hybrid role.

• Strong expertise in SQL and experience working with large, complex datasets.

• Hands-on experience with Azure and/or AWS cloud compute platforms, utilizing tools such as Snowflake, Databricks, Data Factory, Glue, Azure Functions, and Lambda.

• Experience in building and maintaining ETL/ELT pipelines and data models.

• Capability to analyze data, identify trends, and provide actionable insights to stakeholders.

• Proficiency in mapping payer data and understanding core health plan files.

• Familiarity with CMS & HEDIS Logic.

• Experience in creating dashboards and reports using tools like Power BI or similar.

• Strong problem-solving abilities and attention to detail, focusing on data accuracy and quality.

• Ability to work collaboratively across functions and communicate technical concepts to non-technical audiences.

• Experience in healthcare data, including knowledge of clinical or regulatory data, is a plus.

🏝️ Benefits

• Impactful Mission: Contribute to improving patient care nationwide by developing reliable data pipelines and insightful analytics that lead to better outcomes.

• Innovative Environment: Engage with modern Azure-based technologies and participate in data-driven and AI-enhanced initiatives.

• Growth Opportunity: Join a collaborative, high-performing team that is shaping the future of healthcare data and reporting.