Healthcare Data Integration Engineer (FHIR / OMOP)

Remote, Remote, United States

Open 5 months, first seen by us 153 days ago

Pay: Pay not listedSimilar roles state $127K–$190K
Work setting: Remote — work setting source
Listed location: Remote, REMOTE, United States
Read the full posting
Employment: Employment terms need review — employment source
We are a fully virtual company, collaborating across 28 countries. This is a contract opportunity, not a full-time employment role. This role requires the availability of at least 30-40 hours per week.
Employment type in the employer’s posting: Contract
From the employer’s posting

What you’ll work on

Full posting

Lead technical onboarding and integration projects for new clients
Design and implement connectors to EHRs, FHIR servers, HL7 interfaces and databases
Develop and maintain source-to-target mappings into OMOP CDM
Build, test and maintain ETL/ELT pipelines
Map vocabularies such as SNOMED CT, ICD-10, LOINC and RxNorm

From the employer’s posting

Lead technical onboarding activities for new clients.

Design and implement connectors to various data sources, including:

Develop and maintain source-to-target mappings.

Build, test, and maintain ETL/ELT pipelines.

Participate in vocabulary mapping activities involving:

What you’ll bring

All qualifications

Core experience

2+ years in healthcare data integration, interoperability or clinical data engineering
Experience with FHIR, HL7 v2 and clinical terminology systems
Experience with SQL and relational databases
Experience designing and implementing ETL pipelines
Experience consuming and integrating REST APIs

Qualification wording

2+ years of experience in healthcare data integration, interoperability, or clinical data engineering.

Experience working with healthcare data standards, including:

Experience with SQL and relational databases.

Experience designing and implementing ETL pipelines.

Experience consuming and integrating REST APIs.

Education & alternatives

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. Founded in 2015, it helps healthcare and life science companies build, deploy, and operate AI products and services. John Snow Labs is the winner of the 2018 AI Solution Provider of the Year Award, the 2019 AI Platform of the Year Award, the 2019 International Data Science Foundation Technology award, and the 2020 AI Excellence Award. John Snow Labs is the developer of Spark NLP - the world’s most widely used NLP library in the enterprise - and is the world’s leading provider of state-of-the-art clinical NLP software, powering some of the world’s largest healthcare & pharma companies. John Snow Labs is a global team of specialists, of which 33% hold a Ph.D. or M.D. and 75% hold at least a Master’s degree in disciplines covering data science, medicine, software engineering, pharmacy, DevOps and SecOps.

Apply at John Snow Labs

Posting record

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Open 5 monthsWe first saw this posting 153 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 4, 2026153 days ago
Recorded sightings: 68
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 153

Up longer than most. Similar jobs usually come down between day 5 and day 54.

From 10,733 similar postings that came down. Coming down is not always a hire.

John Snow Labs is hiring

2 open jobs

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
Azure
Google Cloud Storage
S3

Where the posting names them

* Experience with healthcare cloud environments. * Experience with Python and modern data engineering tools. * Experience with healthcare analytics or research platforms.

* Clinical terminology systems * Experience with SQL and relational databases. * Experience designing and implementing ETL pipelines.

* Data warehouses * Cloud storage platforms (S3, Azure Blob, GCS) * Flat-file and CSV-based exchanges

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

We are seeking a Healthcare Data Integration Engineer to lead clinical data integration efforts.

This role will be responsible for connecting client systems to our platform, designing and implementing data ingestion pipelines, and ensuring that healthcare data is transformed into standardized models suitable for analytics and AI applications.

The ideal candidate combines healthcare interoperability expertise with strong technical implementation skills. You should be comfortable working directly with client technical teams, understanding source systems, designing mappings, and building robust integration solutions.

Qualifications

Responsibilities

Client Onboarding & Integration

* 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.

Healthcare Data Standardization

* 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

Data Engineering

* 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.

Collaboration

* 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.

Required Qualifications

* 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.

Preferred Qualifications

* 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.

Nice to Have

* Experience implementing FHIR servers or FHIR APIs.
* Experience with healthcare NLP or unstructured clinical data.
* Experience with data quality frameworks.
* Experience supporting regulatory or research data initiatives.
* Familiarity with observational research and real-world evidence platforms.

What Success Looks Like

Within your first year, you will:

* Lead onboarding and integration projects for new clients.
* Build reusable connectors that reduce onboarding effort.
* Help standardize diverse healthcare data sources into OMOP CDM.
* Improve terminology mapping and data quality processes.
* Become a trusted technical partner for client integration efforts.
* Contribute to the evolution of a modern healthcare data and AI platform.

Additional Information

Our Commitment to You

At John Snow Labs, we believe that diversity is the catalyst of innovation. We’re committed to empowering talented people from every background and perspective to thrive.

We are an award-winning global collaborative team focused on helping our customers put artificial intelligence to good use faster. Our website includes The Story of John Snow, and our Social Impact page details how purpose and giving back is part of our DNA. More at JohnSnowLabs.com

We are a fully virtual company, collaborating across 28 countries.
This is a contract opportunity, not a full-time employment role.
This role requires the availability of at least 30-40 hours per week.

Location

Remote-friendly. Preference for candidates able to collaborate during North American business hours.

Compensation

Competitive salary based on experience and location.

Company Description

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. Founded in 2015, it helps healthcare and life science companies build, deploy, and operate AI products and services. John Snow Labs is the winner of the 2018 AI Solution Provider of the Year Award, the 2019 AI Platform of the Year Award, the 2019 International Data Science Foundation Technology award, and the 2020 AI Excellence Award.

John Snow Labs is the developer of Spark NLP - the world’s most widely used NLP library in the enterprise - and is the world’s leading provider of state-of-the-art clinical NLP software, powering some of the world’s largest healthcare & pharma companies. John Snow Labs is a global team of specialists, of which 33% hold a Ph.D. or M.D. and 75% hold at least a Master’s degree in disciplines covering data science, medicine, software engineering, pharmacy, DevOps and SecOps.

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