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Spatial Data Science Jobs in North Carolina (NOW HIRING)

Resource GIS Analyst

Charlotte, NC · Hybrid

$56K - $94K/yr

Conduct quality control with respect to stand information, spatial data, and silvicultural ... A Bachelor of Science degree in forestry or related discipline is required. * Three or more years ...

... spatial genomics, digital pathology data, and apply the computational methods to understand ... She received postdoctoral training at Department of Data Science, Dana-Farber Cancer Institute and ...

We are seeking a Bioinformatics Scientist to support institute research programs, with a focus on single-cell and spatial omics data analysis. This role requires expertise in statistical modeling ...

Perform GIS-based spatial analyses (ArcGIS Pro) to support planning, asset management, condition ... Data Science, or related field. 0-5 years of relevant experience in water and/or wastewater ...

Sr. GIS Solution Engineer - Commercial

Charlotte, NC · On-site

$54 - $69.50/hr

Requirements * 5+ years of experience with Esri technology creating maps, performing spatial ... data science (AI/ML), and imagery * Detailed knowledge and experience working with dedicated and ...

Fisheries/Hydrologist Technician

Asheville, NC · On-site

$15.50 - $19/hr

Experience with GIS tools and spatial data collection * Preferred: Experience with restoration ... Bachelor's degree in Fisheries Management, Hydrology, Environmental Science, or related field

Requirements * 5+ years of experience with Esri technology creating maps, performing spatial ... data science (AI/ML), and imagery * Detailed knowledge and experience working with dedicated and ...

Sr. Product Manager, AI

Raleigh, NC · On-site

$123K - $162K/yr

Proven ability to build strong partnerships across Engineering, Design, Data Science, Product, and ... Experience with visual collaboration, spatial computing, or digital whiteboarding platforms

Middle Grades Science Teacher

Raleigh, NC · On-site

$44K - $58K/yr

Data Conception : Requires the ability to compare and/or judge the readily observable, functional ... Form / Spatial Aptitude : Requires the ability to inspect items for proper length, width and shape.

Sr. Product Manager, AI

Raleigh, NC · On-site +1

$123K - $162K/yr

Proven ability to build strong partnerships across Engineering, Design, Data Science, Product, and ... Experience with visual collaboration, spatial computing, or digital whiteboarding platforms

Showing results 21-40

Spatial Data Science information

See North Carolina salary details

$40.4K

$117.9K

$161.3K

How much do spatial data science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for spatial data science in North Carolina is $117,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $125,000.00 per year, depending on experience, location, and employer.

What is spatial data science?

Spatial data science is a field that combines data science techniques with geographic information systems (GIS) to analyze and interpret spatial or location-based data. It involves collecting, processing, and visualizing data that has a geographic or spatial component, such as maps, satellite images, or GPS coordinates. Spatial data scientists use methods from statistics, machine learning, and computer science to solve problems related to urban planning, environmental monitoring, transportation, and more. The insights gained from spatial data science help organizations make better decisions based on the relationships and patterns found in geographic data.

What are the key skills and qualifications needed to thrive as a spatial data scientist, and why are they important?

To thrive as a Spatial Data Scientist, you need a strong background in statistics, geospatial analysis, and programming (often with Python or R), typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases (like PostGIS), and relevant certifications (e.g., Esri Technical Certification) is commonly required. Strong analytical thinking, problem-solving abilities, and effective communication are vital soft skills to interpret spatial data and convey insights to stakeholders. These competencies are crucial for extracting actionable insights from complex geospatial datasets and supporting informed decision-making.

What is the difference between Spatial Data Science vs Geospatial Analyst?

AspectSpatial Data ScienceGeospatial Analyst
Required CredentialsDegree in GIS, Geography, Data Science, or related fields; often includes certifications in GIS or data analysisDegree in Geography, GIS, or related fields; certifications in GIS software are common
Work EnvironmentData analysis, modeling, and programming; often in tech or research settingsMapping, data visualization, and GIS software use; typically in government, environmental, or urban planning agencies
Employer & Industry UsageTech companies, research institutions, urban planning, environmental agenciesGovernment agencies, environmental consultancies, urban planning firms

Spatial Data Science focuses on analyzing spatial data using advanced data science techniques, programming, and modeling. In contrast, Geospatial Analysts primarily work with GIS software to create maps and visualize spatial data. While both roles require GIS knowledge, Spatial Data Scientists often have stronger programming and statistical skills, working on complex data analysis projects, whereas Geospatial Analysts focus more on mapping and data visualization tasks.

What are some typical challenges spatial data scientists face when integrating geospatial data from multiple sources?

Spatial data scientists often encounter challenges like inconsistencies in data formats, varying coordinate reference systems, and differences in spatial resolution when integrating geospatial data from multiple sources. Addressing these requires familiarity with data transformation tools and a strong understanding of spatial data standards. Additionally, ensuring data quality and managing large datasets can be complex, so attention to detail and effective use of GIS software are crucial for successful integration.
What are popular job titles related to Spatial Data Science jobs in North Carolina? For Spatial Data Science jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Spatial Data Science jobs in North Carolina look for? The top searched job categories for Spatial Data Science jobs in North Carolina are:
Infographic showing various Spatial Data Science job openings in North Carolina as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $117,886 per year, or $56.7 per hour.

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Chesapeake Utilities rating

6.5

Company rating: 6.5 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Description
SAP EAM Technical Lead Hybrid Remote - periodic travel to Newark, DE (2 weeks a month)

Must reside in TX, IL, NJ, OH, DE, MD, PA, VA, NC, GA, or FL

Your role in our success:

The SAP EAM Technical Lead is responsible for the technical architecture, development, and implementation of SAP Enterprise Asset Management (EAM) solutions. This role supervises technical teams, manages asset lifecycle processes, and ensures robust master data governance. The EAM Technical Lead collaborates with business and IT stakeholders to deliver scalable, reliable solutions that optimize asset management and operational efficiency.

What you'll be working on:

  • Lead the design, development, and deployment of SAP EAM solutions, ensuring alignment with business goals and technical feasibility.
  • Develop and oversee technical roadmaps and solution architectures for SAP EAM initiatives, collaborating with functional leads.
  • Supervise, mentor, and train junior team members, fostering technical growth and team capability.
  • Serve as a subject matter expert to resolve complex production support issues and analyze release notes for client engagements.
  • Ensure successful project planning, budgeting, and execution for EAM implementations and enhancements.
  • Lead solution design, technical workshops, communicating technical concepts to non-technical stakeholders.
  • Lead the technical configuration and integration of linear asset management (LAM) to manage linear assets like power lines and pipelines.
  • Design and integrate SAP EAM with Geographic Information Systems (GIS) to link geospatial data with asset master data.
  • Ensure SAP EAM integration with SAP for Utilities (IS-U) for customer service, billing, and metering processes. Ensure seamless integration of EAM with other SAP modules such as Supply Chain Management (SCM), Materials Management (MM), and Financial Accounting/Controlling (FI/CO).
  • Support technical requirements for regulatory compliance reporting for utility regulatory bodies.
  • Oversee processes including:
    - Manage Assets: Master Data Governance, Asset Lifecycle/Traceability
    - Manage Work: Work Lifecycle, Schedule/Dispatch, Mobile Work Execution, Construction
    - Manage Resources: External/Contractors, Internal/Employees
    - Manage Maintenance: Maintenance Planning, Maintenance/Testing/Inspections
    - Manage Spatial Data: Spatial Data Sync and Alignment

Where you'll be working...

  • Hybrid Remote with periodic travel to Newark, DE (typically ~2 weeks per month, may fluctuate due to business needs)

Who you are:

  • Education: Bachelor's Degree in Computer Science, Information Systems, Engineering, or related field.
  • Work Experience: 7+ years of experience in SAP EAM/PM/CS with at least 2 full lifecycle implementations.
  • Licensure/Certification: SAP EAM certification preferred. PMP, Scrum Master, or Agile Coach certifications are a plus.
  • Drivers' license (type): Regular Driver's License
  • Strong technical and functional expertise in SAP EAM, especially Plant Maintenance (PM) and Customer Service (CS). Proficiency in SAP S/4HANA EAM.
  • Strong functional and technical expertise in SAP EPPM suite, including Project System (PS) and Project and Portfolio Management (PPM). Technical skill in configuring EPPM for project scheduling and resource management for asset construction and repairs.
  • Experience integrating EPPM with EAM processes to manage the entire asset lifecycle, integrate EPPM with SAP FI/CO for financial tracking and reporting.
  • Deep understanding of asset lifecycles, from planning and procurement to maintenance and disposal.
  • SAP certifications in EAM are a plus.
  • Deep knowledge in full lifecycle of utility assets, from construction and commissioning to operations, maintenance, and decommissioning is a plus.

What's in it for you? Joining the CUC team will get you:

  • Competitive base salary
  • Fantastic opportunities for career growth
  • Cooperative, supportive and empowered team atmosphere
  • Annual bonus and salary increase opportunities
  • Monthly recognition events
  • Endless wellness initiatives and community events
  • Robust and customizable benefit packages-choose what works best with your life. Options include generous 401k, medical, dental and life insurance, tuition reimbursement, compensated volunteer hours and MORE!
  • Paid time off, holidays and a separate bank of sick time!

Chesapeake Utilities Corporation is an equal opportunity employer committed to creating a diverse workforce and a culture that promotes a sense of belonging for all employees. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors. Applicants with a disability that need assistance applying for a position may email careers@chpk.com.


Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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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