John Snow LabsRemote
Healthcare Data Integration Engineer (FHIR / OMOP)
United States of America
Full Time
1 month ago
$40 - $60 USD
Visa Sponsor
Key skills
FHIRHL7 v2Clinical terminology systemsSQLRelational databasesETL pipelinesREST APIsHealthcare data domains - EncountersHealthcare data domains - ConditionsHealthcare data domains - ProceduresHealthcare data domains - MedicationsHealthcare data domains - Measurements/Laboratory resultsHealthcare data domains - Clinical observationsOMOP CDMOHDSI toolsTerminology servicesVocabulary managementEpicCernerMEDITECHAthenahealtheClinicalWorksHealthcare cloud environmentsPythonHealthcare NLPData quality frameworksAIMachine LearningNLPETLELTData EngineeringAnalyticsAzureS3Cloud StorageGCSCommunication
About this role
John Snow Labs is an award-winning AI and NLP company, accelerating progress in data science by providing state-of-the-art software, data, and models. They are seeking a Healthcare Data Integration Engineer to lead clinical data integration efforts, focusing on connecting client systems to their platform and ensuring healthcare data is transformed into standardized models for analytics and AI applications.
Responsibilities:
- Lead technical onboarding activities for new clients
- Analyze source systems and data architectures
- Design and implement connectors to various data sources, including:
- EHR systems
- FHIR servers
- HL7 interfaces
- Relational databases
- Data warehouses
- Cloud storage platforms (S3, Azure Blob, GCS)
- Flat-file and CSV-based exchanges
- APIs and custom integrations
- Collaborate with client IT and clinical informatics teams to understand source data structures and workflows
- Define integration strategies and technical specifications
- Map source data into healthcare interoperability standards and common data models
- Support transformation of clinical data into OMOP CDM
- Develop and maintain source-to-target mappings
- Identify and resolve data quality, terminology, and interoperability issues
- Participate in vocabulary mapping activities involving:
- SNOMED CT
- ICD-10
- LOINC
- RxNorm
- CPT
- Other local and proprietary terminologies
- Build, test, and maintain ETL/ELT pipelines
- Develop reusable integration frameworks and connector libraries
- Monitor integration processes and troubleshoot production issues
- Improve automation of onboarding and data validation workflows
- Document integration designs, mappings, and operational procedures
- Work closely with data engineers, data scientists, and machine learning engineers
- Support data validation and quality assurance activities
- Contribute to interoperability best practices and platform architecture
- Serve as a technical point of contact during onboarding projects
Requirements:
- 2+ years of experience in healthcare data integration, interoperability, or clinical data engineering
- Experience working with healthcare data standards, including: FHIR, HL7 v2, Clinical terminology systems
- Experience with SQL and relational databases
- Experience designing and implementing ETL pipelines
- Experience consuming and integrating REST APIs
- Understanding of healthcare data domains such as: Encounters, Conditions, Procedures, Medications, Measurements/Laboratory results, Clinical observations
- Strong problem-solving and troubleshooting skills
- Excellent communication skills and ability to work directly with client technical teams
- Experience with OMOP CDM
- Experience with OHDSI tools and ecosystem
- Experience mapping source systems to OMOP standard vocabularies
- Experience with terminology services and vocabulary management
- Familiarity with Epic, Cerner, MEDITECH, Athenahealth, eClinicalWorks, or other EHR platforms
- Experience with healthcare cloud environments
- Experience with Python and modern data engineering tools
- Experience with healthcare analytics or research platforms