[Remote] Data Engineer
Note: The job is a remote job and is open to candidates in USA. Medisolv, Inc. is a national leader in healthcare quality data management solutions, seeking a Data Engineer/Analyst to join their growing team. The role involves building robust data systems, extracting and transforming healthcare data, and supporting reporting and analytics products to improve patient care through meaningful insights.
Responsibilities
- 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 EHR’s 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
Skills
- 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
- Experience with Azure and/or AWS platforms using Snowflake, Databricks, Delta Lakes, Spark, Python and other related technologies
- Familiarity with healthcare data systems, EHRs, or regulatory reporting programs
- Experience with advanced analytics, data modeling, and performance optimization
- Exposure to AI/ML or predictive analytics initiatives
- Experience with additional tools such as Power BI, or other visualization platforms
Company Overview