About the role
- Analyze and interpret healthcare datasets provided by external partners (e.g., hospitals, physician groups, third-party vendors).
- Compare incoming data formats against internal data specifications and identify transformation or normalization requirements.
- Design, develop, and maintain custom data parsers and transformation scripts using programming languages such as C#, Python, AWK, and C++ .
- Collaborate with implementation teams, data engineers, and revenue cycle stakeholders to establish reliable, secure data feeds.
- Perform thorough data quality checks and validation to ensure integrity, completeness, and alignment with business rules.
- Create detailed documentation for parser logic, data mappings, and integration processes.
- Participate in meetings with external partners to understand data delivery formats, schedules, and expectations.
- Work on cross-functional projects to support data integration and transformation initiatives in line with RCM requirements.
- Contribute to continuous improvement by identifying opportunities for automation and process optimization.
- Troubleshoot and resolve data inconsistencies, parsing errors, and integration issues.
Requirements
- Bachelor's degree in computer science, Information Systems, Data Science, or a related field
- 3+ years of professional experience in a data analysis, data integration, or software development role
- Experience working with healthcare datasets such as patient demographics, schedules, charges, medical records, claims, eligibility, etc.
- Familiarity with Revenue Cycle Management (RCM) systems, workflows, or applications is a strong plus.
- Experience in building custom parsers and data transformation tools across diverse systems and file formats (e.g., flat files, HL7, CSV, JSON, XML)
- performance-based incentive plan
- Ventra rewards & recognition program
- referral bonus
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
C#PythonAWKC++data parsingdata transformationdata quality checksdata validationdata integrationautomation
Soft skills
collaborationcommunicationproblem-solvingattention to detailanalytical thinkingdocumentationcross-functional teamworkcontinuous improvement