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Remote Lidar Data Processing Jobs in California (NOW HIRING)

Bright Vision Technologies

AI Data Engineer

Newark, CA · Remote

$100K - $150K/yr

... processes through technology. This is a fantastic opportunity to join an established and well ... AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright ...

Bright Vision Technologies

AI Data Engineer

Newark, CA · Remote

$100K - $150K/yr

... processes through technology. This is a fantastic opportunity to join an established and well ... AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright ...

Thunkable

Sr. Data Analyst

San Francisco, CA · On-site +1

$101K - $127K/yr

Amplitude, Google Ads, Meta Ads, payment processors, CRM tools). - Experience with event tracking ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

Thunkable

Sr. Data Analyst

San Francisco, CA · Remote

$90K - $130K/yr

Amplitude, Google Ads, Meta Ads, payment processors, CRM tools). - Experience with event tracking ... Global remote flexibility - The opportunity to directly influence the future of no-code and AI ...

NEOGOV

Senior Data (Revenue Ops) Analyst

El Segundo, CA · On-site +1

$150K/yr

Remote (Pacific Time Zone & UT) or Hybrid (El Segundo, CA / Draper, UT) This role is fully remote ... Our clients use our software to streamline everyday processes NEOGOV is a leading AI-enabled SaaS ...

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All JobsRemote Lidar Data Processing JobsRemote Lidar Data Processing Jobs in California

Remote Lidar Data Processing information

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 are the most commonly searched types of Lidar Data Processing jobs in California? The most popular types of Lidar Data Processing jobs in California are:
What are popular job titles related to Remote Lidar Data Processing jobs in California? For Remote Lidar Data Processing jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Lidar Data Processing jobs in California look for? The top searched job categories for Remote Lidar Data Processing jobs in California are:
What cities in California are hiring for Remote Lidar Data Processing jobs? Cities in California with the most Remote Lidar Data Processing job openings:
Remote Lidar Data Processing jobs near you

Data Engineer - Remote

Techoundsllc

Aliso Viejo, CA • Remote

$121K - $145K/yr

Full-time

Posted 16 days ago

Job description

*Must reside in PST Time Zone and be a US Citizen
Job Overview
We are seeking a skilled Data Engineer with 3–5 years of experience specializing in data analysis, writing queries, query optimization, reporting, and data solutions. The ideal candidate will have a strong background in MongoDB, MySQL, and SQL, coupled with experience in AWS RDS and tools like Jira, along with strong analytical and problem-solving skills. This role involves designing, building, and maintaining optimized, highly available data pipelines that facilitate deeper analysis and reporting by the Data and Analytics team and support business initiatives.

Key Responsibilities

· Develop and execute complex queries in MongoDB, MySQL, and SQL to analyze and extract meaningful insights from datasets.

· Create and maintain reporting solutions that support business needs, ensuring clarity and accuracy.

· Collaborate with stakeholders to understand reporting requirements and deliver actionable insights through dashboards or reports.

· Support ad-hoc analysis by providing timely and efficient query solutions to business teams.

· Leverage AWS services, such as RDS and S3, to support data integration and reporting workflows.

· Troubleshoot and resolve data-related issues to ensure smooth operations.

· Create and maintain documentation for data processes, queries, and reporting workflows.

Qualifications

· Experience: 3–5 years of experience as a Data Engineer or similar role with a focus on data analysis and reporting.

· Strong proficiency in MongoDB, MySQL, and SQL for query design and optimization.

· Hands-on experience with AWS RDS and related AWS services.

· Ability to analyze and interpret data to provide actionable insights.

· Experience creating and maintaining reports, dashboards, and visualization tools.

Tools

· Proficiency with Jira for task and workflow management.

Preferred Qualifications

· Experience with Python or similar programming languages for advanced data manipulation.

· Knowledge of Agile methodologies and task tracking tools.

· Familiarity with reporting tools.

· Nice to have: Experience leveraging AI/ML technologies to enhance data analysis, automate workflows, or optimize reporting processes.