Extraction Engineer, MEDITECH Expanse

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $85 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 0%

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e4health

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

⚖️ Legal

📦 Logistics

Consulting • Legal • Logistics

e4health is a healthcare-focused services and technology firm that helps hospitals and health systems improve clinical data quality, coding accuracy, revenue integrity, and IT systems. They provide Health IT consulting, health information management (HIM), clinical documentation improvement (CDI), coding and auditing (including risk adjustment/HCC), legacy data migration and validation, interim staffing, and software and AI automation solutions. e4health serves more than 400 health systems with a mix of professional services, advisory engagements, and technology to optimize workflows, protect IT investments, and drive measurable outcomes.

📋 Description

• Extract clinical, financial, demographic, and other healthcare data from MEDITECH Expanse • 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 • Transform extracted MEDITECH data into HL7-compliant messages and structures • Develop mapping and transformation logic between MEDITECH source data and HL7 segments, fields, and data elements • Develop, test, and troubleshoot data transformation routines and HL7 message generation processes • Validate data for accuracy, completeness, consistency, and specification adherence • Perform data profiling and identify missing, invalid, inconsistent, or duplicate data • Collaborate with integration engineers to ensure HL7 output compatibility with downstream systems and integration engines • Partner with data conversion and migration teams on source-to-target mapping and reconciliation • Troubleshoot extraction, transformation, mapping, and HL7 formatting issues • 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 with data quality remediation and source-system issue resolution • Ensure 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 • Experience with scripting or programming languages such as Python, Java, PowerShell, or similar (preferred) • Experience with ETL tools and data transformation frameworks (preferred) • Familiarity with 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 legacy-system decommissioning (preferred) • Familiarity with HIPAA and healthcare data security requirements (preferred) • ORM, MDM, SIU, DFT, and HL7 mapping/message transformation knowledge

🏖️ Benefits

• 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 eligible for 401(k) after 90 days of employment • Part-time employees eligible for 401(k) after 250 hours of worktime