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Remote Lidar Data Processing Jobs in Illinois (NOW HIRING)

ETL Data Engineer

Springfield, IL ยท Remote

$113K - $136K/yr

Senior Data Engineer - Azure / Python ETL Modernization Remote (U.S.) with Minimal travel (2-3x per ... Implement ELT patterns leveraging SQL pushdown and distributed processing Python & Spark ...

Location(s) Chicago, Illinois, Downers Grove, Illinois, Remote-AL, Remote-CT, Remote-FL, Remote-GA ... Data Integration & Processing * Integrate enterprise data from core operational systems, third ...

Location(s) Chicago, Illinois, Downers Grove, Illinois, Remote-AL, Remote-CT, Remote-FL, Remote-GA ... Data Integration & Processing * Integrate enterprise data from core operational systems, third ...

Lead Data Engineer

Chicago, IL ยท Remote

$105K - $139K/yr

Lead Data Engineer | Build the Future of Data at GATX Remote (Chicago-area preferred) Founded in ... Design and lead enterprise-grade pipelines, supporting both batch and streaming data processing;

Lead Data Engineer

Chicago, IL ยท On-site +1

$111K - $160K/yr

Overview Lead Data Engineer | Build the Future of Data at GATX Remote (Chicago-area preferred ... Design and lead enterprise-grade pipelines, supporting both batch and streaming data processing;

Data & AI Senior Engineer - 90405345 - Remote

Chicago, IL ยท On-site +1

$126K - $166K/yr

Remote The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and ... Advanced proficiency in Python and SQL with deep experience in distributed data processing (e.g ...

Data & AI Senior Engineer - 90405345 - Remote

Chicago, IL ยท On-site +1

$126K - $166K/yr

Remote The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and ... Advanced proficiency in Python and SQL with deep experience in distributed data processing (e.g ...

Senior Data Engineer

Chicago, IL ยท On-site +1

$109K - $148K/yr

Assessing and analyzing legacy data processes and driving modernization efforts * Collaborating ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Senior Data Team Lead (Remote)

Chicago, IL ยท Remote

$86K - $217K/yr

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 ...

Senior Data Team Lead (Remote)

Chicago, IL ยท Remote

$86K - $217K/yr

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 ...

Continuously optimize data processes to increase efficiency and quality * Validate received and ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Data Quality Engineer

Downers Grove, IL ยท Remote

$114K - $137K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Test Automation and Reconciliation Design automated reconciliation processes between source and ...

Data Quality Engineer

Chicago, IL ยท Remote

$118K - $141K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Test Automation and Reconciliation Design automated reconciliation processes between source and ...

Data Analyst - Data Ops

Chicago, IL ยท On-site +1

$55K - $60K/yr

Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ... and process. It is at the Company's discretion to determine what pay is provided to a candidate ...

Data Analyst - Data Ops

Chicago, IL ยท On-site +1

$50K - $55K/yr

Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ... and process. It is at the Company's discretion to determine what pay is provided to a candidate ...

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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 Illinois? The most popular types of Lidar Data Processing jobs in Illinois are:
What are popular job titles related to Remote Lidar Data Processing jobs in Illinois? For Remote Lidar Data Processing jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Remote Lidar Data Processing jobs in Illinois look for? The top searched job categories for Remote Lidar Data Processing jobs in Illinois are:
What cities in Illinois are hiring for Remote Lidar Data Processing jobs? Cities in Illinois with the most Remote Lidar Data Processing job openings:
Data Analytics Developer (Remote Eligible)

Data Analytics Developer (Remote Eligible)

Mathematica

Chicago, IL โ€ข On-site, Remote

Other

Posted 28 days ago


Job description

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Learn more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance

At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.

We are seeking an intellectually curiousย Data Analytics Developerย in any of our locations who is passionate about using big data to answer research questions that influence decision making in U.S. health care policy. The ideal candidate will work in languages such as Python and SQL. Individuals with an interest in confronting the challenges of working with large, complex data sets, an interest in data manipulation and analysis, and a desire to become a subject matter expert in health care data are strongly encouraged to apply.

Responsibilities:

  • Working with large secondary data sources such as Medicare and Medicaid administrative claims data and survey data to effectively answer research questions about health care policy
  • Providing creating and best practice solutions for data processing optimization, commonly on cloud computing platforms
  • Ensuring data quality through all stages of data processing with rigorous quality control
  • Iteratively informing requirements and specifications, which will include articulating findings and working with researchers to adjust specifications and code as interim results are foundย