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Remote Lidar Data Processing Jobs in California (NOW HIRING)

Engineers, Inc. 📍 Folsom, California | Remote and Hybrid Options | Full-Time About R.E.Y ... Process and extract topographic and feature data from LiDAR and point cloud datasets (MTLS, UAV ...

Geospatial Analyst/Surveyor III

Klamath, CA · On-site +1

$79K - $142K/yr

... processing of conventional survey data and remotely sensed survey data. 11. Classification of LiDAR ... Ability to obtain and maintain a Remote Pilot Certificate (Part 107) license. 12. Able to work and ...

GIS Specialist

Sacramento, CA · On-site +1

$40 - $50/hr

The GIS Specialist assists with enterprise geodatabase management, GIS data processing, quality ... California, Remote/Virtual Travel: Travel up to 10% Compensation: This pay band reflects Chloeta ...

GIS Specialist

Sacramento, CA · On-site +1

$85K - $105K/yr

Remote eligible. Employee must reside within 50 miles of a Bureau of Reclamation or DOI facility ... Managing Lidar Data Using Mosaic Datasets. e. Map Design Fundamentals. f. Creating Prediction ...

... LiDAR topography, and boundary mapping, in a collaborative and mentorship-driven environment ... Perform survey calculations and data processing using tools such as Trimble Business Center or ...

California, Remote/Virtual Travel: Travel up to 10% Compensation: This pay band reflects Chloeta ... Managing Lidar Data Using Mosaic Datasets. * Map Design Fundamentals. * Creating Prediction ...

... LiDAR topography, and boundary mapping, in a collaborative and mentorship-driven environment ... Perform survey calculations and data processing using tools such as Trimble Business Center or ...

Land Surveying CAD Technician

Encinitas, CA · On-site +1

$38 - $47.50/hr

... LiDAR topography, and boundary mapping, in a collaborative and mentorship-driven environment ... Perform survey calculations and data processing using tools such as Trimble Business Center or ...

... LiDAR topography, and boundary mapping, in a collaborative and mentorship-driven environment ... Perform survey calculations and data processing using tools such as Trimble Business Center or ...

Land Surveying CAD Technician

Encinitas, CA · On-site +1

$38 - $47.50/hr

... LiDAR topography, and boundary mapping, in a collaborative and mentorship-driven environment ... Perform survey calculations and data processing using tools such as Trimble Business Center or ...

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and ...

Proficiency in Python programming and its data-processing libraries (e.g., Pandas, PySpark). Proven expertise in handling large-scale data systems such as distributed databases, data warehouses, and ...

... processing libraries (e.g., Pandas, PySpark). • Proven expertise in handling large-scale data systems such as distributed databases, data warehouses, and data lakes. • Strong experience with ...

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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:

Principal Data Processing Engineer-OSS

Datapelago

Mountain View, CA • On-site, Remote

Full-time

Posted 9 days ago


Job description

Principal Data Processing Engineer - OSS
Mountain View, CA


About DataPelago:

DataPelago is at the forefront of revolutionizing data processing for traditional analytics and cutting-edge GenAI preprocessing. We are building an innovative data processing engine that is transforming how Apache Spark, Apache Flink, Ray, and others operate on diverse, large-scale data. Our team of engineers drive and adopt advances in hardware-accelerated computing, parallel processing of large-scale data, query optimization, distributed systems, compilers, machine learning, and cloud-native computing. We are looking for world-class engineers to join our team and shape the future of accelerated data processing.

The Role:

As a Principal Data Processing Engineer (OSS), you will be a key individual contributor in
adopting and advancing the capabilities of open-source software (OSS) platforms such as Apache

Gluten, Velox, Apache Spark, and Apache Flink in the context of DataPelago's data processing engine. You will enhance the functional breadth, performance, scale, and reliability of the DataPelago engine through downstream and upstream contributions. You will have the opportunity to engage with the community working on these platforms. This is a unique opportunity to make a significant impact on a category-defining product and work with a talented team of engineers.

What You'll Do:

  • Influence the architecture of how our data processing engine interfaces with open-source platforms and engines.
  • Lead the design of functional and performance enhancements to open source platforms such as Apache Gluten and Velox, and their integration with our data processing engine.
  • Individually design, implement, test, optimize, and maintain components of the data processing engine.
  • Analyze the technology roadmap of Apache Gluten, Velox, and equivalent platforms and identify opportunities for our engine to enhance technology and product leadership.
  • Collaboration: Partner with engineering, product management, the open-source community and customer success teams.
  • Foster best practices in design and code reviews, testing, CI/CD, and issue resolution to maintain the highest product quality, security, efficiency, and productivity.

What You'll Bring:

  • BS/MS in Computer Science (or a related field) with 6+ years of relevant experience
  • 3+ years of deep technical experience in instrumenting, analyzing, and optimizing the performance of data processing engine components on benchmark and customer workloads.
  • Sound knowledge of the architecture and internal operation of one or more of Apache Spark,
    Apache Flink, Presto/Trino.
  • Demonstrated experience in the design, development, and successful release of high-performance data processing engines for large production deployments.
  • Exceptional programming skills in C, C++, and Java.
  • Extensive development experience in Linux environments.
  • Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
  • Strong analytical and problem-solving skills with a passion for performance optimization.

Location Considerations:

We value face-to-face collaboration, but recognize that talent can be found anywhere. Our engineering team works at our headquarters in Mountain View, CA, at our India office in Hyderabad, and at remote locations.

Why Join DataPelago?

  • Technical Leadership: Take a leadership role in shaping the architecture and development of how our core engine works with open source data processing platforms
  • Cutting-Edge Innovation: Work on challenging problems at the forefront of accelerated
    computing and data processing.
  • Significant Impact: Your contributions will directly impact the performance and scalability of our mission-critical platform.
  • Mentorship and Growth: Mentor and guide other talented engineers while expanding your own technical expertise.
  • Competitive compensation, stock options, comprehensive benefits package, and leadership development opportunities