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Part Time Lidar Data Processing Jobs (NOW HIRING)

Data Architect

Albuquerque, NM · On-site +1

$61.75 - $79.50/hr

Knowledge of ETL and ELT processes and modern data pipeline architectures * Knowledge of data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Department Admissions Processing-OPS Compensation $17.00 Hourly Job Function The part-time Data Entry Specialist is responsible for accurately entering and updating data in various systems while ...

Data Scientist

Chantilly, VA · On-site +1

$62K - $141K/yr

Knowledge of data processing frameworks such as Pandas, Polars, or Spark * Knowledge of statistical ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Wharton, NJ · On-site +1

$77K - $176K/yr

... code for data processing and automation * 3+ years of experience designing, developing ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Atlanta, GA · On-site

$77K - $176K/yr

Experience with FHIR-based data and large-scale data processing * Experience with R, Scala, or Java ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Alexandria, VA · On-site +1

$77K - $176K/yr

... processing complex data to create data-driven insights * Experience using Python to manipulate and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Reality Capture Intern (Tulsa)

Tulsa, OK

$13.75 - $18.25/hr

... organization, processing, and quality review of existing-building data using LiDAR scanning, 360-degree photography, and related reality capture technologies. This position is designed for an ...

Data processing/importing, DTM creation and CADD knowledge required (Autodesk Civil 3D and Bentley ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

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Part Time Lidar Data Processing information

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How much do part time lidar data processing jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for part time lidar data processing in the United States is $20.27, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.36 per hour, depending on experience, location, and employer.

What are some common challenges faced by part-time LiDAR data processing professionals, and how can they be managed effectively?

Part-time LiDAR data processing professionals often encounter challenges such as managing large datasets, ensuring data accuracy, and staying updated with evolving software tools. Balancing project deadlines with limited working hours can require strong time management skills. Collaborating with full-time team members and communicating progress regularly helps prevent misunderstandings and ensures seamless workflow integration. Continuous learning and familiarizing oneself with the latest processing techniques also contribute to overcoming these challenges and delivering high-quality results.

What are the key skills and qualifications needed to thrive as a Part Time Lidar Data Processing Specialist, and why are they important?

To thrive as a Part Time Lidar Data Processing Specialist, you need a background in geospatial sciences or a related field, with strong analytical skills and experience in data interpretation. Familiarity with Lidar processing software (such as LAStools, TerraScan, or ArcGIS), and possibly certifications in GIS technologies, is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills that enhance accuracy and teamwork. These competencies ensure high-quality data outputs and efficient collaboration in projects involving complex spatial data.

What is part time LiDAR data processing?

Part time LiDAR data processing involves working with Light Detection and Ranging (LiDAR) data, typically on a flexible or reduced-hour basis. Professionals in this role analyze and process raw LiDAR data collected by sensors to create accurate 3D models, maps, and measurements of environments. Tasks often include cleaning, classifying, and interpreting point cloud data for applications such as surveying, construction, forestry, and urban planning. Part-time positions allow individuals to contribute their expertise while maintaining a flexible work schedule.

What is the difference between Part Time Lidar Data Processing vs Part Time GIS Technician?

AspectPart Time Lidar Data ProcessingPart Time GIS Technician
Required SkillsPoint cloud processing, GIS software, data analysisGIS software, spatial data management, cartography
Work EnvironmentField data collection, office-based data processingOffice, field data collection, map creation
Industry UsageSurveying, mapping, infrastructure planningUrban planning, environmental management, utilities

Both roles often require GIS knowledge and data analysis skills. While Part Time Lidar Data Processing focuses on handling 3D point cloud data from lidar sensors, Part Time GIS Technicians work more broadly with spatial data and mapping. The roles overlap in data management but differ in technical focus and tools used.

More about Part Time Lidar Data Processing jobs
What cities are hiring for Part Time Lidar Data Processing jobs? Cities with the most Part Time Lidar Data Processing job openings:
What are the most commonly searched types of Lidar Data Processing jobs? The most popular types of Lidar Data Processing jobs are:
What states have the most Part Time Lidar Data Processing jobs? States with the most job openings for Part Time Lidar Data Processing jobs include:
What job categories do people searching Part Time Lidar Data Processing jobs look for? The top searched job categories for Part Time Lidar Data Processing jobs are:
Data Engineer

Data Engineer

Booz Allen Hamilton, Inc.

Fort George G Meade, MD • On-site, Remote

$77K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 10 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description


Remote Work:
No
Job Number:
R0241771
Location:
Fort Meade,MD,US
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Data Engineer
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
As a data engineer at Booz Allen, you'll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You'll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.
In this role, you'll collaborate closely with AI Model Engineers, Network and Cloud Architects, the ISSE, and other technical leaders to guide the development of scalable, mission-aligned data pipelines. You'll apply your expertise in data engineering, exploratory analysis, and feature development to shape how datasets are assessed, designed, transformed, and maintained for AI/ML workloads. While supporting a cross-functional technical environment, you'll help ensure high-quality, well-governed data flows that enable reliable model performance across operational, research, and enterprise systems.
Work with us to use data for good.
You Have:
  • 6+ years of experience as a data engineer
  • Experience designing, implementing, and maintaining scalable data pipelines for structured and unstructured data
  • Experience preparing validated, normalized, and secure datasets for AI/ML model development
  • Experience implementing data governance practices, including access control, lineage tracking, and dataset documentation
  • Experience developing dashboards and metrics for data and pipeline monitoring
  • Experience building automated ETL workflows and CI/CD pipelines for data processes
  • Experience optimizing data workflows across on-prem, cloud, or hybrid environments
  • Ability to monitor and improve pipeline performance in coordination with operations teams
  • TS/SCI clearance with a polygraph
  • HS diploma or GED and 6+ years of experience with data normalization and data pipelines, or Bachelor's degree and 4+ years of experience with data normalization and data pipelines

Nice If You Have:
  • 10+ years of experience as a data engineer
  • Experience with distributed data and compute tools, such as Spark, Databricks, Hadoop, Hive, or Kafka
  • Experience with cloud environments, such as AWS or Azure
  • Experience developing real-time or streaming data applications
  • Experience evaluating emerging technologies for data processing or AI/ML workflows
  • Experience working in environments with security, compliance, or ISSE oversight
  • Experience developing or supporting visualization tools and frameworks
  • Experience supporting AI/ML model development pipelines
  • Bachelor's degree

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914