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Remote Point Cloud Modeling Jobs in Apex, NC (NOW HIRING)

Senior AI Systems Engineer

Raleigh, NC · On-site +1

$92K - $126K/yr

... models or AI services into operational environments, including containerized, cloud, or high ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

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In this role, you will serve as the primary point of contact for members, pharmacies, and health ... We support contract, contract-to-hire, and permanent placement models -- allowing you to build the ...

... model training. You will also lead the strategy for integrating with open file formats such as Parquet and Iceberg, and enabling remote access to cloud storage platforms like AWS S3, Azure Data Lake ...

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

... and cloud environments while ensuring alignment with security, governance, and enterprise ... Design and establish data structures, metadata models, naming conventions, and information ...

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... cloud-based and on-premises data environments. * Exposure to Data Vault modeling and modern data ...

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

Overview This is a remote role that may only be hired in the following location(s): North Carolina ... cloud-based and on-premises data environments. * Exposure to Data Vault modeling and modern data ...

Showing results 21-40

Remote Point Cloud Modeling information

See Apex, NC salary details

$17

$47

$66

How much do remote point cloud modeling jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote point cloud modeling in Apex, NC is $47.92, according to ZipRecruiter salary data. Most workers in this role earn between $40.87 and $54.57 per hour, depending on experience, location, and employer.

What is remote point cloud modeling?

Remote point cloud modeling involves creating 3D digital representations of objects or spaces using point cloud data, which is typically collected through laser scanners or photogrammetry. The 'remote' aspect means that the modeling work is performed from a location other than the site where the data was captured, often using specialized software to process and interpret the data. This technology is widely used in industries such as construction, architecture, surveying, and engineering for tasks like as-built documentation, measurement, and visualization. Remote point cloud modelers convert raw point cloud data into usable models, such as BIM or CAD files, that are valuable for planning, analysis, and project management.

What are the key skills and qualifications needed to thrive as a remote point cloud modeler?

To thrive as a Remote Point Cloud Modeler, you need expertise in 3D modeling, spatial data interpretation, and proficiency with point cloud processing, often supported by a degree in geomatics, engineering, or architecture. Familiarity with technical tools such as Autodesk ReCap, Bentley Pointools, and laser scanning equipment, as well as certifications in CAD or BIM, are typically required. Strong attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills ensure accurate digital representations, efficient project collaboration, and high-quality deliverables critical for industries like construction, surveying, and design.

What are some common challenges faced by professionals working in remote point cloud modeling, and how can they be addressed?

One common challenge in remote point cloud modeling is managing large data files, which can cause slow upload/download speeds and software lag. Ensuring a reliable internet connection and using cloud-based collaboration tools can help mitigate these issues. Additionally, clear communication with team members is crucial, as remote work can sometimes lead to misunderstandings about project specifications or deadlines. Regular virtual meetings and detailed documentation can help keep everyone aligned and projects on track.

What are popular job titles related to Remote Point Cloud Modeling jobs in Apex, NC?

For Remote Point Cloud Modeling jobs in Apex, NC, the most frequently searched job titles are:

What job categories do people searching Remote Point Cloud Modeling jobs in Apex, NC look for?

The top searched job categories for Remote Point Cloud Modeling jobs in Apex, NC are:

What cities near Apex, NC are hiring for Remote Point Cloud Modeling jobs?

Cities near Apex, NC with the most Remote Point Cloud Modeling job openings:

Infographic showing various Remote Point Cloud Modeling job openings in Apex, NC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $99,666 per year, or $47.9 per hour.

Dir-Data Platform Engineering (Full-time Remote, North Carolina Based)

Alliance Health

Morrisville, NC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

The Director-Data Platform Engineering is responsible for the strategic leadership, governance, and delivery of Alliance Health’s modern cloud based data engineering platform, replacing the legacy Enterprise Data Warehouse operating model.

The Director-Data Platform Engineering provides enterprise accountability for the design, development, operation, and continuous evolution of the data platform, ensuring secure, scalable, and high quality data products that support analytics, reporting, interoperability, regulatory compliance, and organizational decision making. The Director leads the Data Platform Engineering team and oversees the phased migration and sunset of legacy EDW capabilities as data domains transition to the modern platform.

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 Platform Strategy and Enterprise Leadership

  • Define, own, and execute the enterprise data platform strategy and roadmap aligned with Alliance Health’s Data Modernization Initiative
  • Lead the transition from legacy EDW architecture to a cloud native Lakehouse and data engineering platform
  • Establish platform success metrics related to scalability, reliability, performance, cost management, and business value
  • Serve as the executive level authority for enterprise data platform direction and technical decision making

Organizational Leadership and Workforce Development

  • Lead and develop the Data Platform Engineering team, including the Cloud Data Architect, Lead Cloud Data Engineer, Cloud Data Engineers, Data Quality Engineer, Business Analyst, and Data Governance Analyst
  • Establish role clarity, career pathways, and performance expectations aligned with Alliance Health’s IT Job Architecture
  • Coach and mentor senior technical staff to strengthen leadership capability, engineering discipline, and platform ownership
  • Build a sustainable internal delivery model that reduces long term reliance on consultants

Engineering Governance and Technical Oversight

  • Establish and enforce enterprise standards for data ingestion, transformation, and serving layers, medallion and Lakehouse architecture patterns, CI/CD, DevOps, and environment management, and monitoring, observability, and production support
  • Provide oversight and approval for complex architecture and solution designs impacting the enterprise data platform
  • Ensure consistency of engineering practices across data domains and delivery teams

Data Quality, Security, and Regulatory Compliance

  • Ensure enterprise wide data quality standards, validation frameworks, and monitoring capabilities are implemented
  • Partner with Security, Compliance, and Governance teams to ensure adherence to HIPAA and HITECH requirements, data classification, encryption, access controls, and audit logging
  • Maintain accountability for platform stability, incident response, and root cause remediation

Program Delivery and Legacy EDW Sunset

  • Provide executive oversight for data domain migrations, analytics and reporting modernization, and decommissioning of legacy EDW assets
  • Manage cross functional dependencies, delivery risks, and sequencing of modernization activities
  • Ensure transparent reporting on delivery status, risks, and outcomes to executive leadership

Stakeholder Engagement and Executive Communication

  • Act as the primary liaison between IT leadership, business stakeholders, analytics teams, and external partners for data platform initiatives
  • Translate business and regulatory requirements into scalable technical capabilities
  • Communicate platform strategy, risks, progress, and outcomes to executive leadership

Minimum Requirements

Education & Experience

Required:

Bachelor’s degree in computer science or a related field, with six (6) years of experience with increasing responsibilities in data engineering, data architecture, or enterprise data platform leadership and three (3) years of experience in people management, platform governance, and cross functional delivery. Demonstrate experience leading enterprise scale data platforms on Microsoft Azure, including data Lakehouse or data warehouse modernization initiatives.

Experience should also include operating in regulated environments, preferably healthcare, with responsibility for data security, privacy, and compliance outcomes.

The following technical certification (or comparable) is required:

  • Databricks Certified Data Engineer Professional

Preferred:

Master’s degree in computer science or a related field, with five (5) years of progressively responsible experience in data engineering, data architecture, or enterprise data platform leadership preferred.

Any of the following or comparable technical certification is preferred:

  • Microsoft Azure Solutions Architect Expert
  • Databricks Certified Professional
  • Azure Security Engineer Associate (AZ 500)

Knowledge, Skills, & Abilities

  • Implementing and maintaining enterprise-scale Medallion data platforms on Microsoft Azure
  • Databricks Development
  • Python, SQL, PySpark, SQL, and modern data engineering frameworks
  • Azure Data Services: ADLS Gen2, Data Factory, Synapse
  • DevOps, Git and CI/CD best practices
  • Agile methodology and tools
  • HIPAA/HITECH compliance in cloud architectures
  • Technical documentation skills
  • Communication and organizational skills
  • Ability to work independently and in a team setting
  • Azure Platform Architect Accreditation

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 

$131,191-$167,268/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