
Extraction Engineer, MEDITECH Expanse
Posted 17 hours ago

Posted 17 hours ago
This is a fully remote position, open to applicants in United States.
• Extract clinical, financial, demographic, and other healthcare data from MEDITECH Expanse.
• Design and implement data extraction procedures from MEDITECH Expanse and related databases, repositories, interfaces, and reporting environments.
• Analyze the data structures, fields, tables, files, and relationships within MEDITECH Expanse.
• Convert the extracted MEDITECH data into HL7-compliant messages and structures.
• Create mapping and transformation logic between MEDITECH source data and HL7 segments, fields, and data elements.
• Develop, test, and troubleshoot routines for data transformation and HL7 message generation.
• Validate data for accuracy, completeness, consistency, and adherence to specifications.
• Conduct data profiling to identify missing, invalid, inconsistent, or duplicate data.
• Collaborate with integration engineers to ensure HL7 output is compatible with downstream systems and integration engines.
• Work closely with data conversion and migration teams on source-to-target mapping and reconciliation.
• Resolve issues related to extraction, transformation, mapping, and HL7 formatting.
• Support testing, mock conversions, parallel validation, and production migration activities.
• Maintain technical documentation for extraction processes, transformation logic, mappings, data structures, and HL7 specifications.
• Assist in data quality remediation and resolution of source-system issues.
• Ensure that processes comply with healthcare data security, privacy, and regulatory requirements.
• Over 5 years of experience in healthcare data extraction, integration, conversion, or migration.
• Practical experience with MEDITECH Expanse data extraction and/or MEDITECH data structures.
• Strong knowledge of HL7 v2.x standards and healthcare interoperability.
• Proven experience in creating, transforming, parsing, or validating HL7 messages.
• Experience with healthcare data mapping and source-to-target transformation.
• Direct involvement in a MEDITECH Expanse data migration or conversion project.
• Experience extracting data from MEDITECH Expanse for migration to other EHR systems, such as Epic, Oracle Health/Cerner, or other enterprise platforms.
• Familiarity with MEDITECH Expanse APIs, databases, reporting tools, interfaces, or other extraction methods.
• Experience with HL7 interface engines like Mirth Connect, Rhapsody, Cloverleaf, Corepoint, or InterSystems.
• Strong SQL skills with experience in querying relational databases and/or healthcare data repositories.
• Background in 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.
• Excellent analytical and problem-solving abilities.
• Capability to work independently while collaborating with technical, clinical, integration, and project teams.
• Experience with scripting or programming languages such as Python, Java, PowerShell, or similar (preferred).
• Familiarity with ETL tools and data transformation frameworks (preferred).
• Knowledge of FHIR, CDA/CCD, and XML/JSON (preferred).
• Experience with MPI/eMPI, patient identity, clinical data conversion, and healthcare data quality (preferred).
• Experience supporting large-scale EHR implementations, migrations, or decommissioning of legacy systems (preferred).
• Knowledge of HIPAA and healthcare data security requirements (preferred).
• Understanding of ORM, MDM, SIU, DFT, and HL7 mapping/message transformation.
• 401(k) with company match.
• Medical insurance.
• Dental insurance.
• Vision insurance.
• Life insurance.
• Short-term disability insurance.
• Long-term disability insurance.
• PTO policy.
• Full-time employees are eligible for 401(k) after 90 days of employment.
• Part-time employees are eligible for 401(k) after 250 hours of work.
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