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Remote Lidar Data Processing Jobs in Texas (NOW HIRING)

Veterans EZ Info Inc

Data Engineer (Remote Opportunity)

Austin, TX · Remote

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, develop, and maintain scalable data pipelines and ETL processes. * Build and optimize data solutions within Azure cloud environments, including Azure Synapse and Azure Data Factory.

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · Remote

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, develop, and maintain scalable data pipelines and ETL processes. * Build and optimize data solutions within Azure cloud environments, including Azure Synapse and Azure Data Factory.

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, develop, and maintain scalable data pipelines and ETL processes. * Build and optimize data solutions within Azure cloud environments, including Azure Synapse and Azure Data Factory.

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design, develop, and maintain scalable data pipelines and ETL processes. * Build and optimize data solutions within Azure cloud environments, including Azure Synapse and Azure Data Factory.

Jill Frisch

Remote Data Analyst

Dallas, TX · On-site +1

$50K - $63K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Jill Frisch & Freeze Minimart has an effective process for assessing market data and establishing ... Remote

Wesco

Director - Master Data Management

Houston, TX · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Drive harmonization of relevant Master Data processes across in Wesco to provide a common and ... Ability to travel up to 25% #LI-JB1 #LI-REMOTE This amount is what we reasonably believe we will ...

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All JobsLidar Data Processing JobsRemote Lidar Data Processing JobsRemote Lidar Data Processing Jobs in Texas

Remote Lidar Data Processing information

What are some common challenges faced in remote lidar data processing, 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 in remote lidar data processing?

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

The most popular types of Lidar Data Processing jobs in Texas are:

What are popular job titles related to Remote Lidar Data Processing jobs in Texas?

For Remote Lidar Data Processing jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Remote Lidar Data Processing jobs in Texas look for?

The top searched job categories for Remote Lidar Data Processing jobs in Texas are:

What cities in Texas are hiring for Remote Lidar Data Processing jobs?

Cities in Texas with the most Remote Lidar Data Processing job openings:

Remote Lidar Data Processing jobs near you

Senior Python Data Scraping Engineer (Freelance)

Mindrift

Dallas, TX • Remote

$45/hr

Part-time

Re-posted 19 days ago

Job description

Mindrift is looking for highly skilled Vibecode specialists to join the Tendem project (https://tendem.ai/) and drive specialized data scraping workflows for real-world use cases. Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.

What We Do 

The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.

About the Role

This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.

Key Responsibilities

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Educational qualifications

  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.

Academic and/or Professional Experience

Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.

Technical Skills (Essential)

  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)

Additional requirements

  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectations 

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation 

On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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