Data Implementation Engineer 2
Company: Med A/Rx
Location: Charlotte, NC (Remote)
Salary: $85k - $100k per year
Type: Full-time
Level: Senior
Remote: Yes
Posted: 2026-02-18
About this role
Job Details
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 primarily responsible for the creation of processes that implement client data from hospital systems into company systems (data warehouse, data mapping tools, payment portals, collections platforms, etc.). This role also works closely with Operations, Workflow, Technical Support, Account Management and other internal teams to ensure data integrity for clients post-implementation.
Title:
Data Implementation Engineer 2
Location:
Remote
Department:
Product Development
Reports To:
Director of Analytics Engineering
Compensation:
$85,000 to $100,000 base
Key Responsibilities
Implement client data, implement new features on existing clients, and assist in data integrity for all clients
Implement client Revenue Cycle data into applicable applications based off project requirements including Benchmark and systems applications
Create and configure ETL processes from multiple data sources in complex formats
Log, track, and document solutions to complex data implementation tasks in Jira
Build custom data transformation processes using commercial ETL tools
Develop new logical data model schemas and tables for the creation and use of physical data model schemas and tables
Attend client project virtual meetings focused on gathering requirements and communicating project progress and timelines
Mentor other Team Members on data implementation solutions
Required Qualifications
BS in Mathematics, MIS, Computer Science, Statistics or comparable ...