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Remote Environmental Data Scientist Jobs in Raleigh, NC

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Staff Scientist

Raleigh, NC ยท On-site +1

Remote work may be considered for the right candidate. What you will do as a staff scientist ... Process and interpret property insurance exposure data for input to HurLoss, ARA's hurricane ...

Senior Scientist

Raleigh, NC ยท On-site +1

$80K - $110K/yr

Remote work may be considered for the right candidate. What you will do as a senior scientist ... Process and interpret property insurance exposure data for input to HurLoss, ARA's hurricane ...

Labcorp is seeking a Senior Curation Scientist to join our team in a fully remote capacity. Work ... environment alongside software engineers, clinicians, and data consumers to support Labcorp ...

Sr Staff AI Architect

Raleigh, NC ยท On-site +1

$143K - $185K/yr

... Fri) Environmental Conditions Office About Company: Thermo Fisher Scientific Inc. is the world ... This is a remote role open in the US only. What will you do? The AI & Data Architect will define ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

Self-directed execution and ownership in a distributed environment, combined with strong cross ... College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data ...

Manager, Data Engineer (Remote)

Raleigh, NC ยท Remote

$100K - $174K/yr

Self-directed execution and ownership in a distributed environment, combined with strong cross ... College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data ...

We are looking for a Bioinformatics Scientist to support the operational objectives of the National Institute of Environmental Health Sciences (NIEHS) through advanced genomic data analysis ...

... data, and evaluating sustainability proposals. Emphasizes systems thinking and connects ... Familiar with AP Environmental Science curriculum across nine units and common challenges such as ...

Showing results 21-40

Remote Environmental Data Scientist information

See Raleigh, NC salary details

$36.5K

$119.3K

$191K

How much do remote environmental data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote environmental data scientist in Raleigh, NC is $119,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a remote environmental data scientist?

A Remote Environmental Data Scientist is a professional who analyzes and interprets environmental data, such as climate metrics, pollution levels, or ecosystem health, while working from a location outside of a traditional office setting. They use statistical tools, programming languages, and data visualization techniques to draw insights and support environmental projects or policy decisions. This role often involves collaborating with teams virtually, accessing remote databases, and communicating findings to stakeholders. Remote Environmental Data Scientists play a crucial role in addressing environmental challenges by providing actionable data-driven insights.

How does a remote environmental data scientist typically collaborate with cross-functional teams while working offsite?

Remote Environmental Data Scientists often work closely with diverse teams, such as field researchers, software developers, and policy analysts, using digital collaboration tools like Slack, Zoom, and cloud-based data platforms. Effective communication and regular virtual meetings are essential for aligning on project goals, sharing data findings, and integrating insights into actionable recommendations. While remote work provides flexibility, it also requires strong self-management and proactive outreach to ensure seamless collaboration and data integrity across geographically dispersed teams.

What are the key skills and qualifications needed to thrive as a remote environmental data scientist?

To thrive as a Remote Environmental Data Scientist, you need a strong background in statistics, environmental science, and data analysis, usually supported by a degree in a relevant field. Proficiency in programming languages like Python or R, GIS software, and experience with remote sensing data are typically required, along with certifications in data science or environmental analysis. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating remotely and translating data insights into actionable environmental solutions. These abilities are essential for accurately analyzing complex environmental data, informing policy, and driving sustainable initiatives from a remote setting.

What is the difference between Remote Environmental Data Scientist vs Remote Environmental Analyst?

AspectRemote Environmental Data ScientistRemote Environmental Analyst
Required CredentialsBachelor's or Master's in Environmental Science, Data Science, or related fields; proficiency in data analysis toolsBachelor's in Environmental Science, Geography, or related fields; basic data analysis skills
Work EnvironmentPrimarily remote, involving data modeling, analysis, and programmingPrimarily remote, focusing on data collection, reporting, and environmental assessments
Employer & Industry UsageUsed by environmental consulting firms, research institutions, and government agencies for data-driven decision makingEmployed by environmental agencies, NGOs, and consulting firms for environmental monitoring and reporting

The main difference is that Remote Environmental Data Scientists focus on advanced data analysis, modeling, and programming to interpret environmental data, while Remote Environmental Analysts concentrate on collecting data, preparing reports, and supporting environmental assessments. Both roles are essential in environmental sectors but differ in technical complexity and daily tasks.

What are the most commonly searched types of Environmental Data Scientist jobs in Raleigh, NC? The most popular types of Environmental Data Scientist jobs in Raleigh, NC are:
What are popular job titles related to Remote Environmental Data Scientist jobs in Raleigh, NC? For Remote Environmental Data Scientist jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Environmental Data Scientist jobs in Raleigh, NC look for? The top searched job categories for Remote Environmental Data Scientist jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Environmental Data Scientist jobs? Cities near Raleigh, NC with the most Remote Environmental Data Scientist job openings:
Infographic showing various Remote Environmental Data Scientist job openings in Raleigh, NC as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $119,312 per year, or $57.4 per hour.

Cloud Data Architect (Full-time Remote, NC Based)

Alliance Health

Morrisville, NC โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

The Cloud Data Architect is responsible for design and implementation of scalable enterprise-wide data architecture.ย  These responsibilities include optimizing data performance and accessibility, and ensuring data quality, integrity and security.

This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC)ย forย onsite team meetings as needed.

Responsibilities & Duties

Data Architecture Design and Modelling

  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms
  • Establish data access patterns (serving layers, semantic models, APIs) to optimize downstream analytics and reporting
  • Participate in business analysis activities to elicit data product requirements

Enterprise Data Platform Strategy

  • Lead adoption of modern data architecture patterns and cloud-native solutions
  • Define future-state data architecture roadmaps aligned to organizational strategy and modernization initiatives
  • Develop enterprise data management strategies including data lake/warehouse implementations, data movement, and data services
  • Enforce data quality, security, and consistency standards across enterprise data platforms

Data Engineering Enablement

  • Define reference architectures, coding standards, and reusable patterns for data engineering teamsย 
  • Review and approve solution designs to ensure adherence to enterprise data architecture standardsย 
  • Provide technical mentorship and design guidance to engineers and analysts

Data Governance & Security

  • Participate in data governance council and provide input on data standards and policies to ensure data quality, security, and compliance
  • Collaborate with security and compliance teams to implement data classification, encryption, access controls, and audit logging
  • Ensure data architectures comply with HIPAA, and organizational data privacy standards

Stakeholder Collaboration & Communication

  • Capture end-user requirements and align technical solutions to strategic business objectives
  • Translate business needs into scalable, secure, and well-governed data architecture solutions
  • Provide architectural expertise and leadership guidance to data engineering teams

Minimum Requirements

Education & Experience

Bachelorโ€™s degree in computer science or related field and at least five (5) years of experience working as a Cloud Data Architect with direct involvement and responsibilities for architecting an enterprise-scale data Lakehouse or data warehouse on a Microsoft Azure cloud platform, preferably in a healthcare setting.

The following technical certification (or comparable) is required:

โ€ข Databricks Certified Data Engineer Professional

The following technical certification (or comparable) is preferred:

โ€ข Azure Security Engineer Associate (AZ-500)

Knowledge, Skills, & Abilities

  • Architecting enterprise-scale Medallion data platforms on Microsoft Azure
  • Databricks Development and Administration
  • Data modeling: dimensional (Kimball), star/snowflake, and SCDs
  • Enterprise governance frameworks for data quality, lineage, and metadata
  • PySpark and SQL skills for scalable batch and streaming pipelines
  • Azure Data Services: ADLS Gen2, Data Factory, Synapse
  • DevOps, Git and CI/CD best practices
  • Architectural artifacts & documentation (e.g., technical specs, data models, policies, procedures, architecture diagrams)
  • Agile methodology and tools
  • HIPAA/HITECH compliance in cloud architectures
  • Technical leadership skills
  • Communication and organizational skills
  • Ability to work independently and in a team setting
  • Experience working with healthcare datasets

Employment for this position is contingent upon a satisfactory background and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.ย 

Salary Rangeย 

$118-$150,872/Annuallyย 

Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.ย 

An excellent fringe benefit package accompanies the salary, which includes:ย ย 

  • Medical, Dental, Vision, Life, Long Term Disability
  • Generous retirement savings plan
  • Flexible work schedules including hybrid/remote options
  • Paid time off including vacation, sick leave, holiday, management leave
  • Dress flexibility