Data Engineer (Implementation & Integration)

About Us:

Meduit is a national leader in healthcare revenue cycle management, supporting hospitals and physician practices in 48 states. We focus on optimizing payments, allowing clients to focus on patient care, and pride ourselves on our core values: Integrity, Teamwork, Continuous Improvement, Client-Focused, and Results-Oriented. Learn more at www.meduitrcm.com.

About the Role:

The Data Implementation Engineer is responsible for designing, developing, and maintaining data integration solutions that implement client data from hospital systems into Meduit platforms, including data warehouses, mapping tools, payment portals, and collections systems. This role leverages Python, SQL, ETL technologies, and data modeling expertise to transform, validate, and optimize data workflows. The Data Implementation Engineer partners with Operations, Workflow, Technical Support, and Account Management teams to support client implementations, scalable data architecture, and ongoing data quality across systems.

Title: Data Implementation Engineer

Location: Remote-United States

Schedule: Full-time

Department: Product Implementation

Compensation: $80,000 - $95,000

Key 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

Required Qualifications:

• 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

Preferred Qualifications:

• 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

Employment eligibility:

• 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
• As a condition of employment, a pre-employment background check will be conducted
• At this time, we are unable to consider candidates residing in the state of New York for this position

What We Offer:

• Comprehensive paid training
• Medical, dental, and vision insurance
• HSA and FSA available
• 401(k) with company match
• Paid Wellness Time and Holidays
• Employer paid life insurance and long-term disability
• Internal growth opportunities

Meduit is an Equal Opportunity Employer. We do not discriminate based on any protected class and welcome applicants from all backgrounds, consistent with applicable laws.

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