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Geospatial Data Engineer Remote Jobs in Raleigh, NC

Archgroup

AVP, AI (Data Science/Engineer) Remote - EST

Raleigh, NC · Remote

$185K - $235K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Education Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or equivalent practical experience. #LI-LH1 #LI-REMOTE For individuals assigned or ...

Archgroup

AVP, AI (Data Science/Engineer) Remote - EST

Raleigh, NC · Remote

$185K - $235K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Education Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or equivalent practical experience. #LI-LH1 #LI-REMOTE For individuals assigned or ...

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Raleigh, NC

Geospatial Data Engineer Remote information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do geospatial data engineer remote jobs pay per year?

As of Aug 18, 2026, the average yearly pay for geospatial data engineer remote in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What is a geospatial data engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the typical challenges faced by remote geospatial data engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.

What are the key skills and qualifications needed to thrive as a geospatial data engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

What is the difference between Geospatial Data Engineer Remote vs GIS Analyst?

AspectGeospatial Data Engineer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What are the most commonly searched types of Geospatial Data Engineer jobs in Raleigh, NC?

The most popular types of Geospatial Data Engineer jobs in Raleigh, NC are:

What are popular job titles related to Geospatial Data Engineer Remote jobs in Raleigh, NC?

For Geospatial Data Engineer Remote jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Engineer Remote jobs in Raleigh, NC look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Geospatial Data Engineer Remote jobs?

Cities near Raleigh, NC with the most Geospatial Data Engineer Remote job openings:

Geospatial Data Engineer Remote jobs near you
Infographic showing various Geospatial Data Engineer Remote job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.

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

Alliance

Morrisville, NC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago

Job description

The Cloud Data Architect is responsible for design and implementation of scalable enterprise-wide data architecture. 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) for 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 teams
  • Review and approve solution designs to ensure adherence to enterprise data architecture standards
  • 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
Bachelor'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:
• Databricks Certified Data Engineer Professional
The following technical certification (or comparable) is preferred:
• 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.
Salary Range
$118-$150,872/Annually
Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.
An excellent fringe benefit package accompanies the salary, which includes:
  • 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

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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