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Remote Lidar Data Processing Jobs in Wapwallopen, PA

Geisinger Health

Data Scientist Team Lead

Danville, PA · On-site +1

... processes. * Actively participates in coding and development work (typically 50% of the time ... Work is typically performed in an office or remote environment. Accountable for satisfying all job ...

Workiva

Spring 2027 Intern - Data Analytics

Bloomsburg, PA · On-site +1

$22/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... To request assistance with the application process, please email earlycareer@workiva.com . Workiva ...

New

Geisinger

Biostatistician

Danville, PA · On-site +1

... process-from proposal development to data analysis and interpretation. Core members offer expertise ... This position has the potential to be remote. Work is typically performed in an office or remote ...

Pkaza

CFD Engineer - Mechanical

Wilkes Barre, PA · On-site +1

... process * The CFD Engineer will receive limited direction and instruction on new projects or ... Utilize data center specific CFD software tools like 6SigmaRoom by Future Facilities / Cadence ...

USAA

Sr. TLE Auto Appraiser

Bloomsburg, PA · On-site +1

$63K - $121K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... USAA has an effective process for assessing market data and establishing ranges to ensure we remain ...

USAA

Sr. TLE Auto Appraiser

Scranton, PA · On-site +1

$63K - $121K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... USAA has an effective process for assessing market data and establishing ranges to ensure we remain ...

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All JobsLidar Data Processing JobsRemote Lidar Data Processing JobsRemote Lidar Data Processing Jobs in Wapwallopen, PA

Remote Lidar Data Processing information

See Wapwallopen, PA salary details

$11

$19

$33

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

As of Aug 31, 2026, the average hourly pay for remote lidar data processing in Wapwallopen, PA is $19.67, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $21.68 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 cities near Wapwallopen, PA are hiring for Remote Lidar Data Processing jobs?

Cities near Wapwallopen, PA with the most Remote Lidar Data Processing job openings:

Remote Lidar Data Processing jobs near you

Senior Databricks Engineer (Platform & Data Engineering)

Danville, PA • On-site, Remote

Geisinger Health
Health Care and Social Assistance • 10K+ employees

6.9

Company rating: 6.9 out of 10

Based on 448 frontline employees who took The Breakroom Quiz

457th of 896 rated healthcare providers

People enjoy working here

Recommended by students

Recommended by parents

Learn more about Geisinger Healthexternal

$119K - $164K/yr

Full-time

Medical, Dental, Vision

Re-posted 26 days ago

Job description

Location:
Work from home (Pennsylvania)
Shift:
Days (United States of America)
Scheduled Weekly Hours:
40
Worker Type:
Regular
Exemption Status:
Yes
Job Summary:
We are seeking a Databricks Platform Administrator / Data Engineer who enjoys development, application configuration, and building innovative solutions. This role is ideal for someone who thrives on possibilities, sees the bigger picture, and consistently delivers the best version of any task. You will architect solutions from conversational ideas, break work into actionable tasks in Microsoft Planner or Azure DevOps, and collaborate across a dynamic team to drive data platform excellence.
You'll be responsible for the performance of tasks related to application implementation, adoption, enhancement, and support. This includes but is not limited to analysis, development, training, testing, documentation, go-live and on-going support, problem resolution, and maintenance.
Job Duties:
Key Responsibilities
  • Databricks Administration: Manage workspaces, clusters, jobs, security configurations, libraries, and overall platform health.
  • Data Engineering: Build and optimize data pipelines and transformations using PySpark and T-SQL.
  • Automation & Development: Create automation and tooling using Python, Bash, and PowerShell.
  • Governance & Security: Implement and automate data governance, access controls, auditability, and compliance best practices.
  • Note: A significant portion of our development focuses on governance and security automation.
  • Solution Architecture: Translate conversational ideas into clear solution architectures; break work into tasks in Planner or Azure DevOps for team execution.
  • Effort Estimation: Estimate level of effort and forecast delivery dates with reasonable accuracy.
  • Documentation: Produce high-quality documentation including workflows, gap analyses, design specs, build docs, test plans, and transition documentation.
  • Testing Oversight: Oversee unit, scenario-based, integrated, capacity, and parallel testing.
  • On-Call Support: Participate in a 24×7×365 on-call rotation to support Databricks, SQL Server, and other relevant applications supported by the team.
  • Upgrades & Monitoring: Support system upgrades, patches, performance tuning, observability, and proactive monitoring.
  • Data Integrity: Maintain accountability for data integrity across applications and pipelines.
  • Change Management: Complete system build and documentation in adherence to departmental guidelines and change management policy.
  • Peer Review: Review teammates' work and provide constructive feedback.
  • Communication & Escalation: Communicate effectively with peers, stakeholders, and leadership; provide regular status updates and escalate issues appropriately.
  • Facilitation & Leadership: Drive discussions, mentor accountable leaders, and coordinate resources across initiatives.
  • Training & Mentorship: Provide feedback on training materials; conduct training sessions; develop and mentor other team member.
  • Policies & Vendor Engagement: Help develop department guidelines, standards, procedures, and policies; facilitate vendor reviews and selection processes.
  • Integrations (as applicable): Demonstrate understanding of integration and technical requirements for peripherals/devices that interface with assigned applications.
  • Support Coordination: Coordinate remote and/or on-site support as needed for end-users.

Optional Contributions
  • Create complex AI/BI dashboards.
  • Contribute to CI/CD pipelines and integrations using Azure DevOps or GitHub.
  • Apply Terraform for infrastructure as code.
  • Provide MS SQL Server administrative support.

Work is typically performed in an on-campus or home office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.
*Relevant experience may be a combination of related work experience and degree obtained (Associate's Degree = 2 years; Bachelor's Degree = 4 years).
Position Details:
Required Skills & Qualifications
  • Solid experience with Databricks administration, including workspace management, cluster configuration, security, jobs, and libraries.
  • Strong proficiency in Python and scripting with Bash and PowerShell.
  • Experience with PySpark and/or T-SQL for data processing and transformation.
  • Excellent communication skills with the ability to articulate technical concepts clearly to varied audiences.
  • Demonstrated critical thinking, problem-solving, and troubleshooting skills.
  • Ability to estimate effort and deliver on time.
  • Strong understanding of data governance principles and best practices.
  • Commitment to information security best practices.

Preferred Qualifications
  • Familiarity with Terraform for infrastructure as code.
  • Experience creating AI/BI dashboards.
  • Knowledge of CI/CD pipelines and integration using Azure DevOps or GitHub.
  • Hands-on experience with AWS data ingestion tools (e.g., Glue, Lambda).
  • Experience with MS SQL Server administration.
  • Knowledge of cloud architecture and multi-cloud environments.

Education:
High School Diploma or Equivalent (GED)- (Required)
Experience:
Minimum of 3 years-Managing people, processes, or projects (Required), Minimum of 12 years-Relevant experience* (Required)
Certification(s) and License(s):
Skills:
Communication, Critical Thinking, Interpersonal Communication
OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities.
  • KINDNESS: We strive to treat everyone as we would hope to be treated ourselves.
  • EXCELLENCE: We treasure colleagues who humbly strive for excellence.
  • LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow.
  • INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.
  • SAFETY: We provide a safe environment for our patients and members and the Geisinger family.

We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality.
We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.

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