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Remote Lidar Data Processing Jobs in Naperville, IL

Data Engineer (Remote)

Chicago, IL ยท Remote

$117K - $140K/yr

This role will start with existing processes that are largely manual and bespoke today, but will ... You will design and manage data infrastructure that processes large, complex datasets, including ...

Sr. Data Engineer

Chicago, IL ยท On-site +1

$109K - $148K/yr

... processes. As an accomplished data engineer joining the Data & Analytics team, this is a terrific ... This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ...

Participate in remote assignments or attend on-site sessions when required * Follow project ... If you would like more information about how your data is processed, please contact us.

Participate in remote assignments or attend on-site sessions when required * Follow project ... If you would like more information about how your data is processed, please contact us.

Senior Software Engineer

Chicago, IL ยท On-site +1

$153K/yr

Remote work requests will be considered consistent with company's remote work policy. Job ... Data processing and visualization by using QlikView and Python (Pandas, Plotly, Matplotlib). Agile ...

Senior Software Engineer

Chicago, IL ยท On-site +1

$153K/yr

Remote work requests will be considered consistent with company's remote work policy. Job ... Data processing and visualization by using QlikView and Python (Pandas, Plotly, Matplotlib). Agile ...

Azure Databricks Engineer

Chicago, IL ยท On-site

$50 - $58/hr

Develop high-performance Scala/Spark applications for large-scale batch and real-time data processing. * Build and optimize Databricks notebooks, jobs, workflows, and Lakehouse-based data solutions.

Azure Databricks Engineer

Chicago, IL ยท On-site

$50 - $58/hr

Develop high-performance Scala/Spark applications for large-scale batch and real-time data processing. * Build and optimize Databricks notebooks, jobs, workflows, and Lakehouse-based data solutions.

Data Scientist

Chicago, IL ยท On-site +1

$139K - $144K/yr

Develop standardized code and processes that can be easily used by the larger team. * Support ... in-office/remote policy in our Chicago, IL office (111 N Canal St, Chicago, IL 60606)is required.

Sr. Data Scientist

Chicago, IL ยท Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... Monitor model performance in production, refining algorithms and processes to adapt to real-world ...

Remote Job Overview We are seeking experienced CRM Operations Specialists to contribute to a ... Assess CRM data quality and identify inconsistencies, duplication, missing information, and process ...

Data Scientist

Chicago, IL ยท On-site +1

Designs data modeling processes to create algorithms and predictive models. Performs custom ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Showing results 21-40

Remote Lidar Data Processing information

See Naperville, IL salary details

$12

$20

$34

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

As of Sep 4, 2026, the average hourly pay for remote lidar data processing in Naperville, IL is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $22.31 per hour, depending on experience, location, and employer.

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 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 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 Naperville, IL?

The most popular types of Lidar Data Processing jobs in Naperville, IL are:

What are popular job titles related to Remote Lidar Data Processing jobs in Naperville, IL?

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

What job categories do people searching Remote Lidar Data Processing jobs in Naperville, IL look for?

The top searched job categories for Remote Lidar Data Processing jobs in Naperville, IL are:

What cities near Naperville, IL are hiring for Remote Lidar Data Processing jobs?

Cities near Naperville, IL with the most Remote Lidar Data Processing job openings:

Infographic showing various Remote Lidar Data Processing job openings in Naperville, IL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $42,090 per year, or $20.2 per hour.

Data Engineer (Remote)

RxSaveCard Inc

Chicago, IL โ€ข Remote

$117K - $140K/yr

Full-time

Retirement

Re-posted 12 days ago


Job description

About RxSaveCard

RxSaveCard was founded in 2024 with a mission to reduce pharmacy costs for employers and their employees. Our innovative model is unique in the market, and we are building a modern, card-based approach to prescription benefits that simplifies a complicated system. Our innovative model is unique in the market, backed by financial partners at Distributed Ventures and Rock Health. 

We are a fast-growing company solving real problemsand we're looking for people who can operate at the intersection of data, operations, and client experience.

Position Overview

This role sits at the foundation of our data platformfocused on building, scaling, and securing the pipelines and systems that power RxSaveCard.  This role will start with existing processes that are largely manual and bespoke today, but will play a leading role in the evolution toward more scalable solutions.

You will design and manage data infrastructure that processes large, complex datasets, including prescription (Rx) data from our partners, eligibility files, transaction data, and financial flows. This is highly sensitive healthcare and financial data, where accuracy, reliability, and security are non-negotiable.

This is a role for someone who wants to build systemsnot just handle dataand who takes pride in making data pipelines performant, resilient, and scalable.

Key Responsibilities Data Engineering
  • Design, build, and maintain scalable data pipelines for ingesting and processing large datasets (Rx claims, eligibility, transactions, funding data)
  • Develop ETL/ELT processes to transform and normalize data from multiple partner systems
  • Optimize data storage and retrieval for performance, cost, and scalability
  • Ensure high data quality through validation, monitoring, and automated checks
Data Operations & Analysis
  • Build and maintain data infrastructure using modern tools (cloud data warehouses, distributed processing frameworks, etc.)
  • Partner with engineering to integrate data systems into core product workflows
  • Design systems that can scale with rapid growth in data volume and partner integrations
  • Implement observability (logging, monitoring, alerting) for data pipelines
Data Integrity & Security
  • Handle sensitive healthcare (HIPAA) and financial data with strict adherence to security best practices
  • Implement encryption, access controls, and audit logging across data systems
  • Ensure data handling aligns with regulatory and partner requirements
  • Design systems that preserve data integrity and support auditability
Automation & Process Improvement
  • Develop scripts and tools (primarily in Python or similar) to automate workflows
  • Reduce manual processes and improve data reliability and scalability
  • Partner with engineering to productionize solutions when appropriate
  • Anticipate issues and own the resolutions to problems

Project & Workflow Management
  • Own operational workflows and ensure clear ownership of deliverables
  • Own incident response and root cause analysis for data-related issues
  • Track tasks, timelines, and dependencies across multiple workstreams
  • Bring structure and visibility to ambiguous or evolving processes
Qualifications Core Capabilities
  • Exceptional organizational skills with the ability to manage multiple priorities without dropping details
  • Strong written and verbal communication skills with both clients and technical teams
  • Proven ability to operate independently in a fast-moving, ambiguous environment
Data & Technical Skills
  • Advanced proficiency in Excel or Google Sheets (formulas, data manipulation, analysis)
  • Experience working with structured data (CSV files, databases, APIs)
  • Working knowledge of SQL or similar query languages
  • Experience with scripting languages such as Python (preferred), or similar (JavaScript, Bash)
  • Ability to debug data issues and trace problems across systems
Security & Efficiency
  • Demonstrated experience handling sensitive data with a high degree of care and accountability
  • Systems thinker who looks beyond one-off fixes to scalable solutions
  • Bias toward solutions and an iterative approach, without getting bogged down 
Nice to Have
  • Prior startup or growth-stage experience is a strong plus
  • Prior experience within startups, security-minded organizations, or HR employee benefits
The Right Culture Fit for This Role
  • Mission-minded to help people and bring solutions to a very challenging and broken industry
  • Scrappy and resilient to thrive in an early-stage company and rise to the challenge of doing new and scary things
  • Intelligence, curiosity, and drive to anticipate problems and turn them into business opportunities
  • Hardworking and responsible, to be a trusted member of our growing team
  • Mindful and balanced to avoid burnout
  • Kindness and camaraderie to add to the culture at RxSaveCard
Why RxSaveCard?
  • Opportunity to join an innovative company at a critical growth stage
  • Competitive salary and benefits package, including insurance and 401k with match
  • Company ownership in the form of equity
  • Remote or hybrid Chicago work flexibility
  • Collaborative and dynamic team environment
  • The chance to make a meaningful impact on healthcare costs for millions of employees
How to Apply

If you're excited about making prescription drugs more affordable and want to be an early employee at a start-up company, we'd love to hear from you! Applicants should submit a cover letter that highlights what they bring to the role beyond what's provided here. If you're referring someone, please mention it in the letter as well. The position requires background screening.