Data Implementation Engineer

Meduit | Driving Revenue Cycle Performance; United States; On-site; USD 95,000 - 115,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Comprehensive paid training

Job summary

Meduit, a leader in healthcare revenue cycle management, is looking for a Data Implementation Engineer. This remote role involves creating and maintaining processes converting client data from hospital systems into Meduit platforms, ensuring data accuracy and integrity.

The ideal candidate should have a Bachelor’s degree in a technical field and 3 to 5 years of relevant experience with ETL processes. This position offers comprehensive training and benefits including health insurance and 401(k) matching.

Qualifications

• 3 to 5 years of experience performing ETL across complex data sets.
• Strong understanding of data mapping and transformation processes.
• Experience with SQL-based platforms is required.

Responsibilities

• Implement client data and support enhancements for existing integrations.
• Configure and maintain ETL processes across multiple data sources.
• Build and support data transformation workflows.

Skills

ETL processes

Data transformation

MySQL

MSSQL

Talend Data Integration

Education

Bachelor’s degree in Mathematics, MIS, Computer Science, Statistics

Tools

Talend Data Integration

AWS

Snowflake

Job description

About Us: Meduitis 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.

About the Role: The Data Implementation Engineer is responsible for creating and maintaining processes that implement client data from hospital systems into Meduit platforms, including data warehouses, mapping tools, payment portals, and collections systems. This role ensures data accuracy, integrity, and alignment with client and operational requirements. The Data Implementation Engineer partners with Operations, Workflow, Technical Support, and Account Management teams to support client implementations and ongoing data quality across systems.

Title: Data Implementation Engineer

Location: Remote – United States

Schedule: Full-time

Department: Product Implementation

Compensation: $95,000 – $115,000

Key Responsibilities:

• Implement client data and support enhancements for existing client integrations
• Configure and maintain ETL processes across multiple structured and unstructured data sources
• Build and support data transformation workflows using commercial ETL tools
• Develop and maintain logical and physical data models, including schemas and tables
• Ensure ongoing data integrity across client implementations and internal systems
• Document, track, and resolve complex data implementation tasks using Jira
• Collaborate with internal teams including Operations, Workflow, Technical Support, and Account Management
• Participate in client-facing project meetings to gather requirements and communicate project status, timelines, and updates
• Support implementation of Revenue Cycle data across applicable applications and platforms
• Mentor team members on data implementation processes and best practices

Required Qualifications:

• Bachelor’s degree in Mathematics, MIS, Computer Science, Statistics, or a related technical field, or equivalent experience
• 3 to 5 years of experience performing ETL across complex data sets and relational databases
• Experience working with MySQL, MSSQL, or other SQL-based platforms
• Experience with ETL tools such as Talend Data Integration
• Strong understanding of data transformation, mapping, and integration processes

PreferredQualifications:

• Experience with Snowflake and AWS environments
• Experience with Revenue Cycle Management, EDI, X12, or patient accounting systems
• Knowledge of claims and billing processes within healthcare environments
• Familiarity with data warehouse concepts and scalable data architectures

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
• PaidWellnessTimeandHolidays
• Employer paid life insurance and long-term disability
• Internal growth opportunities

Meduitis an Equal Opportunity Employer. We do not discriminate based on any protected classand welcome applicants from all backgrounds, consistent with applicable laws.