Data Engineer (Implementation & Integration)

Meduit is a national leader in healthcare revenue cycle management, supporting hospitals and physician practices across 48 states. The Data Implementation Engineer designs, develops, and maintains data integration solutions using Python, SQL, ETL technologies, and data modeling to implement client data into Meduit platforms and ensure data quality across systems.

Responsibilities:

• Develop and maintain Python-based scripts, utilities, and automation solutions to support data integration, transformation, validation, and reporting
• Design, develop, and maintain logical and physical data models that support scalable data integration and reporting requirements
• Analyze source system data structures and translate business requirements into efficient data models and database schemas
• Build, optimize, and troubleshoot complex SQL queries and data transformation processes
• Configure and maintain ETL processes across multiple structured and unstructured data sources
• Support data warehouse development and ongoing improvements to data architecture and performance
• Ensure ongoing data integrity, quality, and governance across client implementations and internal systems

Requirements:

• Bachelor's degree in Mathematics, MIS, Computer Science, Statistics, Data Analytics, or a related technical field, or equivalent experience
• 3+ years of experience designing and supporting ETL processes across complex data environments
• 2+ years of professional experience developing solutions using Python
• Strong experience with SQL and relational database systems such as MySQL, Microsoft SQL Server, PostgreSQL, or similar platforms
• Experience designing and maintaining logical and physical data models
• Experience with data transformation, mapping, and integration processes
• Experience working with ETL tools such as Talend Data Integration or similar technologies
• Strong analytical, troubleshooting, and problem-solving skills
• Candidates must be legally authorized to work in the United States at the time of hire
• The company does not provide employment visa sponsorship for this position
• At this time, we are unable to consider candidates residing in the state of New York for this position
• Experience developing Python-based data pipelines and automation solutions
• Experience working with Snowflake and AWS environments
• Experience with dimensional modeling, star schemas, and data warehouse design
• Experience with Revenue Cycle Management, EDI, X12, or patient accounting systems
• Knowledge of claims and billing processes within healthcare environments
• Familiarity with modern data architecture and cloud-based analytics platforms