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Snow Science Jobs (NOW HIRING)

Master's degree in computer science or a related IT field. Additional Requirements: * Proficiency in ServiceNow developing frontend Web applications. * Proficiency with relevant backend programming ...

New

Master's degree in computer science or a related IT field. Additional Requirements: * Proficiency in ServiceNow developing frontend Web applications. * Proficiency with relevant backend programming ...

New

... Science with numerous specialized, short-term technical training certificates and diplomas including a few Bachelor's degrees. To learn more about Snow College, please visit our website or brochure.

Master's degree in computer science or a related IT field. Additional Requirements: * Proficiency in user interface development for Web applications. * Proficiency with relevant frontend programming ...

New

Master's degree in computer science or a related IT field. Additional Requirements: * Proficiency in user interface development for Web applications. * Proficiency with relevant frontend programming ...

New

ServiceNOW (SNOW) Engineer

Chantilly, VA · On-site

$55.25 - $76/hr

Bachelor's degree in Computer Science or a related field * Demonstrated professional experience in test automation and quality assurance * Proficiency with automated testing tools such as Cypress ...

Field Support Technician - UIC Science

Barrow, AK · Remote

$24.50 - $33.75/hr

Overview UIC Science is seeking a Field Support Technician to provide hands-on support for field ... Exposure to extreme cold, wind, snow, rain, and other adverse weather conditions. * May require ...

Sr SNOW Developer

$55.75 - $73.75/hr

Bachelor's Degree in Computer Science, Information Systems or a related field or equivalent relevant experience. * 5-10 years of experience with programming or web development activities. Other Job ...

Groundskeeper

Greensboro, NC · On-site

$14.75 - $18.75/hr

The Greensboro Science Center is seeking an energetic, motivated, and hard-working team member for ... Winter season includes snow/ice management as needed. Position reports to and works with the ...

Showing results 41-60

Snow Science information

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$24.5K

$48.4K

$79K

How much do snow science jobs pay per year?

As of Aug 6, 2026, the average yearly pay for snow science in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in snow science?

To thrive in Snow Science, you need a background in earth sciences or meteorology, with expertise in snowpack analysis, avalanche forecasting, and strong quantitative research skills, often supported by a relevant degree. Familiarity with snow measurement instruments, GIS mapping software, and avalanche training certifications like AIARE is typically required. Strong analytical thinking, clear communication, and the ability to work effectively in challenging, outdoor environments are essential soft skills. These abilities are crucial for accurately assessing snow conditions, mitigating avalanche risks, and supporting public safety in mountainous regions.

What can you do with a snow science degree?

A snow science degree prepares individuals for careers in avalanche forecasting, snowpack analysis, and environmental research related to snow and winter conditions. Graduates often work for government agencies, research institutions, or outdoor safety organizations, utilizing skills in data collection, analysis, and fieldwork in cold environments.

What is snow science?

A Snow Science job involves studying the physical properties of snow, ice, and avalanches to improve safety, recreation, and environmental research. Snow scientists analyze snowfall patterns, assess avalanche risks, and develop mitigation strategies. They often work in the field collecting data, using remote sensing technology, and collaborating with meteorologists or engineers. Jobs in this field exist within government agencies, research institutions, ski resorts, and environmental organizations.

What does a snow scientist do?

As a Snow Scientist, your daily responsibilities may include collecting field data on snowpack stability, analyzing weather patterns, and conducting avalanche hazard assessments. You often collaborate with ski patrol teams, researchers, and regional avalanche centers to share data and inform safety protocols. The role also involves using specialized instruments and software to create detailed reports and forecasts. You can expect a combination of outdoor fieldwork and office-based data analysis, making adaptability and strong observational skills important for success.

More about Snow Science jobs
What cities are hiring for Snow Science jobs? Cities with the most Snow Science job openings:
What are the most commonly searched types of Snow Science jobs? The most popular types of Snow Science jobs are:
What states have the most Snow Science jobs? States with the most job openings for Snow Science jobs include:
Infographic showing various Snow Science job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 72% Full Time, 23% Part Time, and 3% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.

Healthcare Data Integration Engineer (FHIR / OMOP)

John Snow Labs

Remote

Contractor

Re-posted 5 days ago


Job description

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.
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.