Data Engineer – Implementation, Integration

Meduit | Driving Revenue Cycle Performance

Data Implementation Engineer integrating hospital data into Meduit’s healthcare revenue cycle management platforms. Building Python, SQL, ETL, and data-modeling solutions for scalable implementations.

Posted 8/14/2026full-timeRemote • New York, North Carolina • 🇺🇸 United StatesMid-LevelSenior💰 $80,000 - $95,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and maintaining Python-based automation solutions and ETL processes for data integration and reporting. Proficient in SQL and data modeling, ensuring data integrity and quality across complex data environments.

Highest-signal resume keywords

Python DevelopmentETL Process DesignSQL Query OptimizationData ModelingData Quality Assurance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLETL ProcessesData TransformationData IntegrationData ModelingDatabase Schema DesignTroubleshootingData GovernanceData Analysis

Soft Skills

Analytical SkillsProblem-SolvingCollaboration

Tools & Technologies

Talend Data IntegrationMySQLMicrosoft SQL ServerPostgreSQLSnowflakeAWS

Industry Keywords

Revenue Cycle ManagementEDIX12Patient Accounting SystemsHealthcare Data Management

Tech Stack

Tools & technologies

AWSCloudETLMS SQL ServerMySQLPostgresPythonSQLTableau

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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: experience developing Python-based data pipelines and automation solutions
Preferred: experience with Snowflake and AWS environments
Preferred: experience with dimensional modeling, star schemas, and data warehouse design
Preferred: experience with Revenue Cycle Management, EDI, X12, or patient accounting systems
Preferred: knowledge of claims and billing processes within healthcare environments
Preferred: familiarity with modern data architecture and cloud-based analytics platforms
Must be legally authorized to work in the United States at the time of hire
The company does not provide employment visa sponsorship
Pre-employment background check required
Candidates residing in New York cannot be considered

Benefits

Comp & perks

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