MEDITECH Expanse Extraction Engineer
Fully Remote Remote Worker - N/A HIT
Job Type
Contract
Description

At e4health, we Empower Better Health. The e4health Team is on a relentless mission to care for those teams who care for others. We bring our passion, ingenuity, and expertise to every engagement. In joining our Team, we want your help to provide our customers with powerful solutions in the pursuit of quality, integrity, clinical and financial value across healthcare.

Our People make the difference. Serving more than 400 hospitals and health systems nationwide for nearly two decades, e4health provides solutions to tackle the toughest problems in healthcare with unmatched technology, mid-revenue cycle, and operational expertise. e4health solutions streamline clinical, financial, and health information data and workflows, optimize coding, quality, and clinical documentation integrity processes, and address health IT operational challenges to deliver material results for healthcare organizations across the country. Learn more about us at www.e4.health.


e4health is seeking an experienced MEDITECH Expanse Extraction Engineer to support a complex healthcare data migration and interoperability initiative. This role will be responsible for extracting data from MEDITECH Expanse, transforming the extracted data into standardized HL7 formats, and preparing the resulting data for downstream integration, migration, and validation activities.

The ideal candidate will have strong hands-on experience with MEDITECH Expanse data structures and extraction processes, healthcare interoperability standards, HL7 messaging, data transformation, and healthcare data migration. This individual will work closely with data conversion, integration, clinical, and technical teams to ensure accurate, complete, and reliable data is extracted and transformed for use in target systems.


Key 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.

• Assist with 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.

Preferred Qualifications

• Experience with scripting or programming languages such as Python, Java, PowerShell, or similar.

• Experience with ETL tools and data transformation frameworks.

• 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.

• ORM

• MDM

• SIU

• DFT

• HL7 mapping and message transformation

• Interface troubleshooting


Additional information:

401(k) ELIGIBILITY

e4health offers a retirement benefits package including 401(k) with company match.

• Full-time employees will be eligible to contribute to a 401(k)-retirement account after successfully completing 90 days of employment.

• Part-time employees will be eligible to contribute to a 401(k)-retirement account after completing 250 hours of worktime.

The items listed below pertain to Full-Time Employees only

BENEFITS:

We offer an excellent salary, full benefits package including 401(k) with company match, medical, dental, vision, life, short/long term disability insurance, and PTO policy. 

 

PHYSICAL DEMANDS OF THE ESSENTIAL FUNCTIONS:

Sitting, talking, hearing and near vision are required over 90% of the time. Feeling is required over 90% of the time and reaching is required about 50% of the time. The ability to travel to field sites may be required up to 15% of the time.

 

WORKING CONDITIONS WHILE PERFORMING ESSENTIAL FUNCTIONS:

Over 90% of the time is spent indoors, with protection from weather conditions. Exposure to noise levels that may be distracting or uncomfortable is present in only unusual situations.


PAY RANGE

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. Join us in building a culture of fairness and transparency as we strive for excellence together.