Job description
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.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.