Senior GIS Analyst
Goldsboro, NC · Remote
$85K - $105K/yr
May need to work with other analysts, data scientists, data engineers, data modelers and IT staff ... This is a remote position.
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Senior GIS Analyst
Goldsboro, NC · Remote
$85K - $105K/yr
May need to work with other analysts, data scientists, data engineers, data modelers and IT staff ... This is a remote position.
Remote Modeling Simulation Engineer information
See Greenville, NC salary details
$37.4K - $50.6K
0% of jobs
$50.6K - $63.8K
0% of jobs
$63.8K - $76.9K
11% of jobs
$88.6K is the 25th percentile. Wages below this are outliers.
$76.9K - $90.1K
16% of jobs
$90.1K - $103.3K
16% of jobs
The median wage is $111.9K / yr.
$103.3K - $116.5K
11% of jobs
$116.5K - $129.7K
14% of jobs
$137.1K is the 75th percentile. Wages above this are outliers.
$129.7K - $142.9K
13% of jobs
$142.9K - $156.1K
4% of jobs
$156.1K - $169.3K
13% of jobs
$169.3K - $182.5K
2% of jobs
$37.4K
$118.2K
$182.5K
How much do remote modeling simulation engineer jobs pay per year?
As of Aug 16, 2026, the average yearly pay for remote modeling simulation engineer in Greenville, NC is $118,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,100.00 and $140,300.00 per year, depending on experience, location, and employer.
What is a remote modeling simulation engineer?
Remote Modeling Simulation Engineers are professionals who use computer-based models and simulations to analyze, design, and optimize systems or products, often working from a location outside of a traditional office. They leverage specialized software to create virtual prototypes and run simulations, which helps in testing and improving designs without the need for physical experiments. These engineers collaborate with teams online, and their work is crucial in industries such as aerospace, automotive, energy, and manufacturing. Their remote setup allows companies to tap into a wider talent pool and offers professionals greater flexibility.
How does a remote modeling simulation engineer typically collaborate with cross-functional teams despite working remotely?
Remote Modeling Simulation Engineers frequently work with multidisciplinary teams, including software developers, project managers, and subject matter experts. Collaboration is typically facilitated through virtual meetings, shared simulation platforms, and cloud-based project management tools. Regular communication and thorough documentation are essential to ensure alignment on project goals and simulation requirements. While remote work offers flexibility, it also requires proactive engagement to stay connected and effectively contribute to team-driven problem solving.
What are the key skills and qualifications needed to thrive as a remote modeling simulation engineer, and why are they important?
To thrive as a Remote Modeling Simulation Engineer, you need a solid background in engineering or computer science, strong mathematical modeling skills, and experience with simulation methodologies. Familiarity with tools like MATLAB, Simulink, Python, and simulation software, along with relevant certifications such as Certified Systems Engineering Professional (CSEP), is often required. Exceptional problem-solving, self-motivation, and clear communication are crucial soft skills, especially when collaborating remotely with diverse teams. These skills ensure accurate model development, effective virtual teamwork, and the delivery of reliable simulation results for complex engineering challenges.
What is the difference between Remote Modeling Simulation Engineer vs Remote Data Analyst?
| Aspect | Remote Modeling Simulation Engineer | Remote Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's or higher in engineering, computer science, or related fields; experience with simulation software | Bachelor's or higher in statistics, mathematics, or related fields; proficiency in data analysis tools |
| Work Environment | Engineering teams, simulation labs, software development settings | Business, finance, healthcare, or tech companies analyzing data sets |
| Industry Usage | Manufacturing, aerospace, automotive, defense | Finance, marketing, healthcare, technology |
| Common Search/Comparison | Yes | Yes |
The Remote Modeling Simulation Engineer focuses on creating and running simulations to predict system behaviors, often in engineering or manufacturing contexts. In contrast, the Remote Data Analyst interprets data to inform business decisions across various industries. While both roles require analytical skills and technical knowledge, their tools, applications, and industry focus differ significantly.
What are popular job titles related to Remote Modeling Simulation Engineer jobs in Greenville, NC?
For Remote Modeling Simulation Engineer jobs in Greenville, NC, the most frequently searched job titles are:
What job categories do people searching Remote Modeling Simulation Engineer jobs in Greenville, NC look for?
The top searched job categories for Remote Modeling Simulation Engineer jobs in Greenville, NC are:
What cities near Greenville, NC are hiring for Remote Modeling Simulation Engineer jobs?
Cities near Greenville, NC with the most Remote Modeling Simulation Engineer job openings:
$85K - $105K/yr
Full-time
Retirement, PTO
Posted 10 days ago
Job description
Benefits:
The Senior GIS Analyst will collect, compile, organize, and analyze spatial and tabular data to assist in the development of GIS applications. Senior GIS Analysts will also be responsible for updating and maintaining complex database information using current technologies. This position requires hands-on technical experience with a high level of expertise.
Job Description and Requirements
Required Knowledge and Skills:
•Hold expertise on working with spatial data and be able to leverage that expertise with stakeholders. Must be comfortable starting with ill-defined datasets and problems and helping stakeholders to unpack what will be most helpful and achievable given the data available.
•Design, install, and configure ArcGIS Enterprise instances on multiple hardware servers.
•Work with structured data of various kinds and sizes in databases, GIS, or spreadsheets, using scripting languages, SQL and/or GIS to manipulate data.
•Create products and models using Python scripting and/or process automation.
•Produce/write GIS system technical recommendations and assessments, standard operating procedures, administrative and help documents for clients and technical teams.
•Work with a range of statistical and analytical techniques using spatial and non-spatial data. Demonstrate strong spatial analysis skills that could include but not be limited to spatial aggregations and joins, neighborhood analysis (nearest neighbor, k-function, etc.), and raster analysis.
•Work with proprietary ESRI GIS toolsets as required to perform complex spatial data analysis to support program objectives. Should be proficient in the use of current low code / no code cloud GIS tools (ArcGIS Online, etc.)
•Prepare analyses of spatial data, including but not limited to static maps, interactive maps, and other derived spatial data products.
•Develop strategies for working with real time and/or big spatial datasets depending on the organization’s needs. May need to work with other analysts, data scientists, data engineers, data modelers and IT staff for more complex ongoing analyses that require live access to data but should be proficient enough to prototype and define those needs with staff.
•Experience in Extract/Load/Transform (ETL) Tools, Data Interoperability best practices, Digitizing techniques, geographic standards, and coordinate systems, Cartographic design principles, Raster and vector data creation and editing.
•Translate business value goals into usable and useful maps, visuals, and underlying data models that support them.
•Ability to write GIS strategic planning, policies/procedures, and GIS technical documents with a potential audience of government executives, government technical and non-technical staff.
•Experience in Geo-referencing, geoprocessing, and geocoding techniques and methods. Experience with 3D corridors and surface models, linear referencing, publication, and incorporation of web mapping services.
•Ability to convert multiple data formats to spatial data. May be required to create documentation and provide training to inform stakeholders and cultivate data literacy within the organization.
•Software Development: Develop and customize tools for data loading, conversion, and the creation of web-based applications to share GIS data.
Competencies and Skills:
•A minimum of five (5) years of experience in geospatial analysis using GIS or geospatial frameworks.
•Technical knowledge of Esri software, with special emphasis on ArcGIS Enterprise and ArcGIS Online software, APIs, and associated solutions.
•Project work should demonstrate excellence in geospatial analysis techniques and approaches.
•Python
•JavaScript
•ArcGIS Platforms
•Experience in Feature Manipulation Engine (FME)
•Exceptional customer service orientation.
•Excellent problem-solving and organizational skills
Required Education and Certifications:
•Bachelor’s Degree in geography or IT, or an advanced degree (master's or PhD) in geography or IT.
•Also requires the possession of certification in geospatial technologies, including, but not limited to GISP, or the ability to acquire certification within 6 months of employment.
•Additional qualifying experience may be substituted for the required bachelor's in geography or IT, or an advanced degree (master's or PhD) in geography or IT on a year-for-year basis.
- Simple IRA Matching
- Paid time off
- Training & development
- Opportunity for advancement
The Senior GIS Analyst will collect, compile, organize, and analyze spatial and tabular data to assist in the development of GIS applications. Senior GIS Analysts will also be responsible for updating and maintaining complex database information using current technologies. This position requires hands-on technical experience with a high level of expertise.
Job Description and Requirements
Required Knowledge and Skills:
•Hold expertise on working with spatial data and be able to leverage that expertise with stakeholders. Must be comfortable starting with ill-defined datasets and problems and helping stakeholders to unpack what will be most helpful and achievable given the data available.
•Design, install, and configure ArcGIS Enterprise instances on multiple hardware servers.
•Work with structured data of various kinds and sizes in databases, GIS, or spreadsheets, using scripting languages, SQL and/or GIS to manipulate data.
•Create products and models using Python scripting and/or process automation.
•Produce/write GIS system technical recommendations and assessments, standard operating procedures, administrative and help documents for clients and technical teams.
•Work with a range of statistical and analytical techniques using spatial and non-spatial data. Demonstrate strong spatial analysis skills that could include but not be limited to spatial aggregations and joins, neighborhood analysis (nearest neighbor, k-function, etc.), and raster analysis.
•Work with proprietary ESRI GIS toolsets as required to perform complex spatial data analysis to support program objectives. Should be proficient in the use of current low code / no code cloud GIS tools (ArcGIS Online, etc.)
•Prepare analyses of spatial data, including but not limited to static maps, interactive maps, and other derived spatial data products.
•Develop strategies for working with real time and/or big spatial datasets depending on the organization’s needs. May need to work with other analysts, data scientists, data engineers, data modelers and IT staff for more complex ongoing analyses that require live access to data but should be proficient enough to prototype and define those needs with staff.
•Experience in Extract/Load/Transform (ETL) Tools, Data Interoperability best practices, Digitizing techniques, geographic standards, and coordinate systems, Cartographic design principles, Raster and vector data creation and editing.
•Translate business value goals into usable and useful maps, visuals, and underlying data models that support them.
•Ability to write GIS strategic planning, policies/procedures, and GIS technical documents with a potential audience of government executives, government technical and non-technical staff.
•Experience in Geo-referencing, geoprocessing, and geocoding techniques and methods. Experience with 3D corridors and surface models, linear referencing, publication, and incorporation of web mapping services.
•Ability to convert multiple data formats to spatial data. May be required to create documentation and provide training to inform stakeholders and cultivate data literacy within the organization.
•Software Development: Develop and customize tools for data loading, conversion, and the creation of web-based applications to share GIS data.
Competencies and Skills:
•A minimum of five (5) years of experience in geospatial analysis using GIS or geospatial frameworks.
•Technical knowledge of Esri software, with special emphasis on ArcGIS Enterprise and ArcGIS Online software, APIs, and associated solutions.
•Project work should demonstrate excellence in geospatial analysis techniques and approaches.
•Python
•JavaScript
•ArcGIS Platforms
•Experience in Feature Manipulation Engine (FME)
•Exceptional customer service orientation.
•Excellent problem-solving and organizational skills
Required Education and Certifications:
•Bachelor’s Degree in geography or IT, or an advanced degree (master's or PhD) in geography or IT.
•Also requires the possession of certification in geospatial technologies, including, but not limited to GISP, or the ability to acquire certification within 6 months of employment.
•Additional qualifying experience may be substituted for the required bachelor's in geography or IT, or an advanced degree (master's or PhD) in geography or IT on a year-for-year basis.
This is a remote position.
About Geographic Technologies Group
Sourced by ZipRecruiter
Industry
It services
Company size
11 - 50 Employees
Headquarters location
Goldsboro, NC, US
Year founded
1997