MEDITECH Expanse Extraction Engineer

About the role

e4health is seeking an experienced MEDITECH Expanse Extraction Engineer to support a complex healthcare data migration and interoperability initiative.

Responsibilities

• Extract clinical, financial, demographic, and other healthcare data from MEDITECH Expanse based on defined migration and integration requirements.
• Develop and execute data extraction processes from MEDITECH Expanse and associated databases, repositories, interfaces, and reporting environments.
• Analyze MEDITECH Expanse data structures, fields, tables, files, and relationships to determine appropriate extraction methodologies.
• Transform extracted MEDITECH data into HL7-compliant messages and structures for downstream integration and migration.
• Develop mapping and transformation logic between MEDITECH Expanse source data and HL7 segments, fields, and data elements.
• Work with HL7 standards including, as applicable, ADT, ORM, ORU, MDM, SIU, DFT, and other message types.
• Develop, test, and troubleshoot data transformation routines and HL7 message generation processes.
• Validate extracted and transformed data for accuracy, completeness, consistency, and adherence to defined specifications.
• Perform data profiling and identify missing, invalid, inconsistent, or duplicate data.
• Collaborate with integration engineers to ensure HL7 output is compatible with downstream systems, interfaces, and integration engines.
• Partner with data conversion and migration teams to support source-to-target mapping and data reconciliation.
• Troubleshoot extraction, transformation, mapping, and HL7 formatting issues.
• Support unit testing, system/integration testing, mock conversions, parallel validation, and production migration activities.
• Develop and maintain technical documentation for extraction processes, transformation logic, mappings, data structures, and HL7 specifications.
• Aid in data quality remediation and resolution of source-system data issues identified during conversion and validation.
• Ensure extraction and transformation processes follow healthcare data security, privacy, and compliance requirements.

Requirements

• 5+ years of experience working with healthcare data extraction, integration, conversion, or migration.
• Hands-on experience with MEDITECH Expanse data extraction and/or MEDITECH data structures.
• Strong understanding of HL7 v2.x standards and healthcare interoperability.
• Demonstrated experience creating, transforming, parsing, or validating HL7 messages.
• Experience with healthcare data mapping and source-to-target transformation.
• Direct experience supporting a MEDITECH Expanse data migration or conversion project.
• Experience extracting data from MEDITECH Expanse for migration to another EHR, including Epic, Oracle Health/Cerner, or other enterprise platforms.
• Experience with MEDITECH Expanse APIs, databases, reporting tools, interfaces, or other available extraction mechanisms.
• Experience with HL7 interface engines such as Mirth Connect, Rhapsody, Cloverleaf, Corepoint, or InterSystems.
• Strong SQL skills and experience querying relational databases and/or healthcare data repositories.
• Experience with data extraction, ETL, transformation, reconciliation, and validation processes.
• Understanding of healthcare data domains including patient demographics, encounters, orders, results, clinical documentation, diagnoses, procedures, and financial information.
• Strong analytical and problem-solving skills.
• Ability to work independently while collaborating with technical, clinical, integration, and project teams.

Qualifications

• Preferred qualifications include experience with scripting or programming languages such as Python, Java, PowerShell, or similar.
• Familiarity with healthcare interoperability standards beyond HL7, including FHIR, CDA/CCD, and XML/JSON.
• Experience with MPI/eMPI, patient identity, clinical data conversion, and healthcare data quality.
• Experience supporting large-scale EHR implementations, migrations, or legacy-system decommissioning.
• Familiarity with HIPAA and healthcare data security requirements.
• Experience with ORM, MDM, SIU, DFT, HL7 mapping and message transformation, interface troubleshooting.

Additional Information

Pay for this position is $85/hr. e4health is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. At our organization, we believe in the principles of pay transparency to foster a fair and equitable workplace for all employees. In alignment with this commitment, we openly communicate salary ranges, bonus structures, and additional financial benefits associated with each position. We believe that transparency in compensation not only promotes trust and accountability but also helps mitigate wage gaps and biases. By providing clear and comprehensive information about compensation in our job descriptions, we aim to create a transparent and inclusive environment where all employees feel valued and respected.