[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 and transforming data into actionable insights to improve patient care through their ENCOR platform.
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