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Hourly Lidar Data Processing Jobs (NOW HIRING)

Divensi

LIDAR Analyst/GIS

Bellevue, WA

$17/hr

Decision-making processes across the enterprise ecosystem are heavily driven by data, as are ... LiDAR Analyst Location : Bellevue, WA No of openings: 30 positions Duration: Full Time Rate:$15/hr ...

Bowman Consulting Group, Ltd.

LiDAR Technician I

Austin, TX · On-site

$19.50 - $26.75/hr

Purpose Supports LiDAR data processing and production workflows under direct supervision. Performs foundational geospatial tasks while developing proficiency in LiDAR processing software, data ...

GeoSearch

Lidar Quality Analyst

Fairfax, VA · Remote

$69K - $88K/yr

Creation and analysis of derivative data layers * Supporting and leading process improvements ... ASPRS Positional accuracy Standards for Digital Geospatial Data (2014), USGS Lidar Base ...

Divensi

LIDAR Analyst/GIS

Bellevue, WA · On-site

$17/hr

Decision-making processes across the enterprise ecosystem are heavily driven by data, as are ... LiDAR Analyst Location : Bellevue, WA No of openings: 30 positions Duration: Full Time Rate:$15/hr ...

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Hourly Lidar Data Processing information

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

As of Aug 15, 2026, the average hourly pay for hourly lidar data processing in the United States is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

What is the difference between Hourly Lidar Data Processing vs Lidar Data Analyst?

AspectHourly Lidar Data ProcessingLidar Data Analyst
Primary RoleProcessing raw Lidar data into usable formatsAnalyzing processed Lidar data for insights
Skills & CertificationsGIS, remote sensing, data processing toolsGIS, data analysis, reporting skills
Work EnvironmentField data collection, office processingOffice-based data analysis and reporting
Industry UsageSurveying, mapping, environmental studiesUrban planning, infrastructure, research

Hourly Lidar Data Processing focuses on converting raw Lidar data into usable formats, requiring technical skills in data processing. Lidar Data Analysts interpret and analyze this processed data to generate insights. While both roles require knowledge of GIS and remote sensing, processing is more technical and hands-on, whereas analysis emphasizes interpretation and reporting.

What are some common challenges faced in hourly LiDAR data processing roles and how can they be addressed?

Hourly Lidar data processing professionals often encounter challenges such as managing large volumes of raw data, ensuring data quality and accuracy, and meeting tight turnaround times. Dealing with inconsistencies in data due to varying environmental conditions or equipment calibration can also be demanding. To address these, it’s helpful to follow standardized workflows, use automated tools for data cleaning and classification, and maintain clear communication with the data collection team. Staying organized and collaborating closely with colleagues can streamline processing and help ensure deliverables meet client expectations.

What is hourly LiDAR data processing?

Hourly LiDAR data processing refers to the analysis and interpretation of LiDAR (Light Detection and Ranging) data on an hourly basis. This involves collecting raw LiDAR data, cleaning and filtering the data, and generating useful outputs such as 3D models or elevation maps. The role is important in industries like surveying, forestry, construction, and autonomous vehicles, where up-to-date spatial information is crucial for decision-making. Professionals in this field use specialized software to process and manage large datasets efficiently. The hourly aspect usually means that workers are paid by the hour and may handle tasks as projects or data come in.

What are the key skills and qualifications needed to thrive as an hourly LiDAR data processing specialist, and why are they important?

To thrive in Hourly Lidar Data Processing, you need a solid understanding of geospatial data concepts, attention to detail, and experience with Lidar data formats, often supported by coursework or training in geography, GIS, or remote sensing. Proficiency in specialized software such as LAStools, ArcGIS, QGIS, and familiarity with point cloud processing systems is typically required. Analytical thinking, problem-solving, and strong organizational skills help individuals stand out in managing large datasets efficiently. These skills are crucial for ensuring accurate, timely, and reliable data outputs that support mapping, surveying, and environmental analysis projects.

What cities are hiring for Hourly Lidar Data Processing jobs?

Cities with the most Hourly Lidar Data Processing job openings:

What are the most commonly searched types of Lidar Data Processing jobs?

The most popular types of Lidar Data Processing jobs are:

What states have the most Hourly Lidar Data Processing jobs?

States with the most job openings for Hourly Lidar Data Processing jobs include:

Hourly Lidar Data Processing jobs near you
Infographic showing various Hourly Lidar Data Processing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $42,153 per year, or $20.3 per hour.

Data Scientist

Techvilla Solutions

Farmers Branch, TX

Full-time

Posted 15 days ago

Job description

Required Skills
  • 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling.
  • 5+ years of client-facing, consulting, or business development experience delivering analytics solutions.
  • Expertise in statistical modeling, machine learning, and predictive analytics.
  • Strong proficiency with Python, scikit-learn, statsmodels, PyTorch, and TensorFlow.
  • Experience in time-series forecasting, causal inference, feature engineering, and advanced data sampling/resampling techniques.
  • Strong expertise in geospatial analytics and LiDAR data processing.
  • Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries.
  • Experience working with vector, raster, point-cloud, and sensor datasets.
  • Excellent analytical, communication, and stakeholder management skills.
Roles & Responsibilities
  • Design and develop advanced machine learning and statistical models to solve complex business problems.
  • Build predictive models, time-series forecasting solutions, and causal inference frameworks.
  • Perform feature engineering, data preparation, and advanced sampling techniques for large-scale datasets.
  • Develop geospatial analytics and LiDAR processing solutions using industry-standard tools and libraries.
  • Analyze vector, raster, point-cloud, and sensor data to generate actionable insights.
  • Partner with business stakeholders to scope, design, and deliver data science solutions.
  • Present analytical findings and recommendations to technical and business audiences.
  • Optimize model performance, scalability, and deployment in production environments.
  • Mentor data scientists and promote best practices in analytics and machine learning.
  • Support innovation initiatives through advanced analytics and AI-driven solutions.

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