Note: The job is a remote job and is open to candidates in USA. 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 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
Skills
- 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
Benefits
- We are a fully virtual company, collaborating across 28 countries.
Company Overview