Epic ODBA / Epic Data Platform Engineer

Insight Global
Palo Alto, CA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Business Analytics Applications Databases Information Engineering Data Infrastructure Data Integration Extract Transform Load (ETL) Data Security Database Queries Disaster Recovery Cloud Services SQL Databases
+15 more
Data Streaming Systems Integration Fast Healthcare Interoperability Resources Snowflake Change Data Capture Microsoft Fabric Debezium Qlikview Health Level Seven International Real Time Data Virtual Agents Intersystems Epic Caboodle Network Server Databricks

Job description

Insight Global is partnering with a healthcare ai company that is building AI-powered healthcare solutions that operate directly within health system workflows. As healthcare organizations increasingly seek near-real-time access to Epic data, our client is expanding its implementation and data platform team to support modern Epic-to-cloud architectures. We are seeking 2 (1 full-time working 40hrs/week & 1 part-time working 20hrs/week) experienced Epic ODBA / Epic Data Platform Engineer to help design and support the pathways that move data from Epic Chronicles into enterprise cloud platforms such as Databricks. This individual will serve as a subject matter expert on Epic database architecture, reporting mirrors, Clarity/Caboodle environments, and near-real-time data integration strategies. The ideal candidate has hands-on experience working within Epic ecosystems and understands both the infrastructure and data engineering challenges associated with exposing Epic data for advanced analytics, operational reporting, and AI-driven applications.

Responsibilities * Design and support Epic-to-cloud data architectures that enable near-real-time data access. * Administer and maintain Epic Chronicles environments running on InterSystems IRIS/Caché. * Support and configure Shadow/Report Mirror environments, replication strategies, journaling, disaster recovery, and reporting databases. * Partner with health system teams to expose Epic data securely for downstream analytics and AI initiatives. * Support Clarity and Caboodle environments, including ETL processes and reporting infrastructure. * Collaborate with data engineering teams to deliver data into Databricks and other cloud platforms. * Evaluate and support change-data-capture (CDC), streaming, and intra-day data integration approaches. * Work with HL7, FHIR, Reporting Workbench, and Epic integration technologies. * Assist with Epic approvals, governance requirements, and third-party data access considerations. * Provide technical guidance on achievable data freshness, architecture decisions, and implementation best practices.

Requirements

  • 5+ years of experience supporting Epic database or data platform environments.
  • Hands-on Epic ODBA experience supporting Chronicles on InterSystems IRIS/Caché.
  • Experience with Shadow/Report Mirrors, replication, journaling, and disaster recovery.
  • Strong understanding of how Chronicles data is transformed into Clarity and Caboodle.
  • Experience exposing Epic data to SQL-based reporting or analytics solutions.
  • Familiarity with Epic reporting and integration technologies.
  • Experience supporting cloud data platforms such as Databricks, Snowflake, or Microsoft Fabric.
  • Knowledge of CDC, real-time streaming, or near-real-time data integration patterns.
  • Strong SQL skills and data modeling experience.
  • Epic ODBA Certification.
  • Epic Chronicles Certification.
  • Epic Cogito, Clarity, or Caboodle administration experience.
  • Epic Technical Services experience supporting reporting servers and mirror configurations.
  • Experience with KB_SQL or other SQL-based access methods to Chronicles.
  • Experience with CDC tools such as Qlik Replicate, Debezium, HVR, or similar technologies.
  • Experience with HL7 and FHIR-based integrations.
  • Previous experience at Epic Systems, a health system, or an Epic consulting organization.
  • Experience supporting Databricks-based healthcare analytics platforms.

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