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Remote Lidar Data Processing Jobs in Riverside, CA

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Drive process improvements and ensure regulatory and SOP compliance. Who We're Looking For Ideal ...

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Drive process improvements and ensure regulatory and SOP compliance. Who We're Looking For Ideal ...

Be Seen First

The main function of a clinical data analyst is to create moderately complex metrics to identify ... Interview Process: Round 1: Hiring Manager screening interview. Round 2: Interview with the next ...

New

Director Master Data Management

Irvine, CA · On-site +1

$143K - $228K/yr

Remote Position Summary: The Director - MDM COE is responsible for establishing and leading the ... Process & Operations: * Design and operate the centralized MDM COE for creation, maintenance, and ...

Director Master Data Management

Irvine, CA · On-site +1

$143K - $228K/yr

Remote Position Summary: The Director - MDM COE is responsible for establishing and leading the ... Process & Operations: * Design and operate the centralized MDM COE for creation, maintenance, and ...

The ideal candidate will have a strong foundation in data analysis, reporting, and process ... Remote Work Requirements * Hard-wired ethernet connection. * Safe and secure workspace. * Ability ...

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

Principal Data Architect Full-time Remote Exclusive confidential search -- details shared with ... Establish and standardize data modeling practices, naming conventions, and review processes; coach ...

Data Engineer- Hybrid

Irvine, CA · On-site +1

$80 - $95/hr

Monday through Thursday onsite, Fridays remote. COMPENSATION: $80-95 an hour. This is a 2-year ... Develop efficient and scalable ETL processes to extract, transform, and load data from various ...

Sr. Engineer II - Software Design

Irvine, CA · Remote

$130K - $172K/yr

... remote diagnostics, and telematics functionalities. * Write efficient and optimized code in ... Design, develop, and implement scalable and efficient data processing pipelines using Big Data ...

Sr. Database Administrator

Irvine, CA · On-site +1

$120K - $145K/yr

San Diego, CA Irvine, CA Los Angeles, CA Centennial, CO Las Vegas, NV Remote or Hybrid is not ... Optimize data processing for performance and scalability * Collaborate with cross-functional teams ...

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Experience optimizing ML pipelines for large-scale training and data processing. * Experience ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

Experience optimizing ML pipelines for large-scale training and data processing. * Experience ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Data Engineer III

Irvine, CA · On-site +1

$160K - $180K/yr

Expertise in processing and integrating large-scale data from multiple sources. * Advanced SQL ... This is a remote position open to candidates based in the United States. Compensation: The salary ...

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Natural language processing (NLP) * Large language models (LLMs) * Retrieval-Augmented Generation ...

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Remote Lidar Data Processing information

See Riverside, CA salary details

$12

$21

$36

How much do remote lidar data processing jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for remote lidar data processing in Riverside, CA is $21.14, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $23.32 per hour, depending on experience, location, and employer.

What are some common challenges faced by professionals in remote Lidar data processing roles, and how can they be overcome?

Professionals working in remote Lidar data processing often encounter challenges such as managing large datasets, ensuring data accuracy, and troubleshooting software or hardware compatibility issues. Effective organization and use of cloud-based storage solutions can help handle large volumes of data efficiently. Additionally, staying up-to-date with the latest processing software and regularly participating in team meetings or online forums can aid in resolving technical problems and maintaining data quality. Proactive communication with team members also ensures smooth collaboration, even in a remote work setting.

What is remote LiDAR data processing?

Remote LiDAR data processing involves handling and analyzing LiDAR (Light Detection and Ranging) data from a location other than where the data was collected. Professionals use specialized software to process large datasets, extract features like terrain models or vegetation, and generate 2D or 3D representations of landscapes. This remote work setup allows teams to collaborate globally, efficiently process data for industries like mapping, forestry, and urban planning, and deliver results without being physically present at the survey site.

What are the key skills and qualifications needed to thrive as a Remote Lidar Data Processing Specialist, and why are they important?

To thrive as a Remote Lidar Data Processing Specialist, you need a solid background in geospatial sciences, data analysis, and remote sensing, often supported by a relevant degree such as geography, GIS, or engineering. Familiarity with specialized software like LAStools, ArcGIS, and Global Mapper, as well as experience with data formats such as LAS and point cloud processing, is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for ensuring data accuracy and collaborating with team members. These skills and qualifications are important because they enable precise data interpretation, efficient workflow, and the delivery of high-quality geospatial products to clients.

What is the difference between Remote Lidar Data Processing vs Remote GIS Analyst?

AspectRemote Lidar Data ProcessingRemote GIS Analyst
Required CredentialsTypically requires GIS or remote sensing certifications, technical skills in lidar softwareRequires GIS certifications, spatial analysis skills, and often a degree in geography or related field
Work EnvironmentPrimarily technical, focused on lidar data handling and processing softwareMore analytical, involving spatial data analysis, mapping, and reporting
Industry UsageUsed in surveying, mapping, environmental monitoring, infrastructure planningApplied in urban planning, environmental management, resource allocation

Remote Lidar Data Processing focuses on handling and analyzing lidar point cloud data, while Remote GIS Analysts interpret spatial data for decision-making. Both roles require GIS knowledge but differ in technical focus and application areas.

What job categories do people searching Remote Lidar Data Processing jobs in Riverside, CA look for? The top searched job categories for Remote Lidar Data Processing jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Remote Lidar Data Processing jobs? Cities near Riverside, CA with the most Remote Lidar Data Processing job openings:
Data Analyst

Full-time

Posted 11 days ago


Job description

REMOTE - US Residents Only
We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing, and analysis; these will affect strategic corporate decisions. By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who enjoys statistics, enjoys solving issues, and enjoys using analytics to provide value, this is an amazing opportunity.

Main Activities:

By gathering, cleansing, and evaluating large datasets, find trends, patterns, and insights.

Create and update easy-to-use dashboards and reports to properly communicate findings to nontechnical stakeholders.

Analyze facts and come to decisions to support corporate strategy, process improvement, and decision-making.

Create and carry out ad hoc research to satisfy the needs of several divisions of the business.

Work with groups to create key performance indicators (KPIs) and to pinpoint critical metrics for ongoing observation.

Foretell outcomes and identify areas of expansion using statistical tools and data modeling.

Staying current with industry trends, best practices, and new technologies helps one to make sure that data analysis processes are continually being enhanced.

Automating repetitious data processes will help to simplify processes and increase efficiency.

Look for discrepancies and propose corrections to confirm data is accurate and full.

Needed Competencies:

Verified background in business analysis, data analysis, or any allied subject.

ability to effectively examine data with programs and languages including R, Python, SQL, or Excel.

skilled in the application of Tableau and Power BI among data visualization tools.

Mastery in statistical techniques and data modeling.

ability to succinctly and clearly show complex data results to viewers ranging in knowledge from professionals to laypeople.

Superior analytical and problem-solving skills; exacting.

competent of properly scheduling one's time, creating priorities, and finishing projects on schedule.

Work experience in a quantitative field like mathematics, statistics, computer science, economics, etc. or education in such areas.

Our offerings comprise:

a workplace supportive of innovative ideas and group projects.

Prospects for lifelong learning and professional development.

Reasonably affordable benefits and flexible working schedules.

a chance to greatly influence things by basing decisions on statistics.