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Hourly Lidar Data Processing Jobs in Maryland (NOW HIRING)

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Mithilfe von Fahrzeugen, die mit abnehmbaren 360-Kameras und Lidar-Systemen ausgestattet sind ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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Hourly Lidar Data Processing information

What is hourly LiDAR data processing?

Hourly LiDAR data processing refers to the analysis and interpretation of LiDAR (Light Detection and Ranging) data on an hourly basis. This involves collecting raw LiDAR data, cleaning and filtering the data, and generating useful outputs such as 3D models or elevation maps. The role is important in industries like surveying, forestry, construction, and autonomous vehicles, where up-to-date spatial information is crucial for decision-making. Professionals in this field use specialized software to process and manage large datasets efficiently. The hourly aspect usually means that workers are paid by the hour and may handle tasks as projects or data come in.

What are some common challenges faced in hourly LiDAR data processing roles and how can they be addressed?

Hourly Lidar data processing professionals often encounter challenges such as managing large volumes of raw data, ensuring data quality and accuracy, and meeting tight turnaround times. Dealing with inconsistencies in data due to varying environmental conditions or equipment calibration can also be demanding. To address these, it’s helpful to follow standardized workflows, use automated tools for data cleaning and classification, and maintain clear communication with the data collection team. Staying organized and collaborating closely with colleagues can streamline processing and help ensure deliverables meet client expectations.

What are the key skills and qualifications needed to thrive as an hourly LiDAR data processing specialist, and why are they important?

To thrive in Hourly Lidar Data Processing, you need a solid understanding of geospatial data concepts, attention to detail, and experience with Lidar data formats, often supported by coursework or training in geography, GIS, or remote sensing. Proficiency in specialized software such as LAStools, ArcGIS, QGIS, and familiarity with point cloud processing systems is typically required. Analytical thinking, problem-solving, and strong organizational skills help individuals stand out in managing large datasets efficiently. These skills are crucial for ensuring accurate, timely, and reliable data outputs that support mapping, surveying, and environmental analysis projects.

What is the difference between Hourly Lidar Data Processing vs Lidar Data Analyst?

AspectHourly Lidar Data ProcessingLidar Data Analyst
Primary RoleProcessing raw Lidar data into usable formatsAnalyzing processed Lidar data for insights
Skills & CertificationsGIS, remote sensing, data processing toolsGIS, data analysis, reporting skills
Work EnvironmentField data collection, office processingOffice-based data analysis and reporting
Industry UsageSurveying, mapping, environmental studiesUrban planning, infrastructure, research

Hourly Lidar Data Processing focuses on converting raw Lidar data into usable formats, requiring technical skills in data processing. Lidar Data Analysts interpret and analyze this processed data to generate insights. While both roles require knowledge of GIS and remote sensing, processing is more technical and hands-on, whereas analysis emphasizes interpretation and reporting.

What are the most commonly searched types of Lidar Data Processing jobs in Maryland?

The most popular types of Lidar Data Processing jobs in Maryland are:

What cities in Maryland are hiring for Hourly Lidar Data Processing jobs?

Cities in Maryland with the most Hourly Lidar Data Processing job openings:

Hourly Lidar Data Processing jobs near you

Principal Data Processing Engineer

Nyla Technology Solutions

Annapolis Junction, MD • On-site

$199K - $235K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Key responsibilities

  • Design, implement, and optimize end-to-end data ingress and egress pathways.

  • Ensure the efficient, scalable, and reliable processing of enterprise-scale analytics workloads while maintaining data quality and system integrity.

  • Work with distributed Big Data processing engines, specifically Apache Spark, and utilize workflow orchestration tools like Apache Airflow.

Job description

Job Description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED


We have an immediate need for a Software Engineer with extensive expertise in dataflow design, data transport mechanisms, and Apache Spark distributed processing. In this high-impact role, you will be responsible for designing, implementing, and optimizing end-to-end data ingress and egress pathways. You will ensure the efficient, scalable, and highly reliable processing of enterprise-scale analytics workloads while maintaining strict data quality and system integrity.


The annual base salary range for this role is $199,000-$235,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

, Required Skills

Distributed Processing: Extensive experience with distributed Big Data processing engines, specifically Apache Spark.

Software Development: Recent, hands-on software development experience using both Python and Java.

Workflow Orchestration: Practical experience using Apache Airflow (DAG design, scheduling, operators, and sensors) for workflow management.

Data Wrangling Formats: Hands-on experience with data manipulation tools (pandas, NumPy, Jupyter Notebook) and working with formats including Parquet, JSON, CSV, and XML.

SQL Technologies: Familiarity with relational database technologies (MySQL, MariaDB, PostgreSQL) for querying, joining, and aggregating large datasets.

Data Quality: Familiarity with data quality principles, automated validation methods, and anomaly detection strategies.

Linux Automation: Strong operational experience with the Linux CLI, standard utilities, and writing Bash scripts for process automation.

Version Control: Proficiency with Git source control workflows.


Education: Bachelor’s Degree in Data Analytics, Intelligence Studies, Computer Science, Finance/Economics, or a related discipline, PLUS 7+ years of specialized data analytics or financial intelligence experience OR Master’s Degree in a related field, PLUS 5+ years of specialized analytical experience OR High School Diploma / GED, PLUS 9+ years of hands-on intelligence analysis, financial tracking, and data discovery experience in lieu of a degree.

, Desired Skills

HPC Scheduling: Familiarity with High-Performance Computing (HPC) job scheduling tools such as Slurm.

Agile Tooling: Practical experience using the Atlassian Tool Suite (Jira, Confluence) for collaborative tracking and documentation.

, About Nyla Technology Solutions

Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn,  earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done.


If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team, 


Taking Care of All of You

Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. 


The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. 


PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you’re at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract* (over 40 hrs/week). There’s even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract!


LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That’s up to 240 hours of leave plus 11 holidays! That’s not even including paid anniversary leave!


SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks!


WHAT ABOUT OTHER BENEFITS?  Nyla’s health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place.  


To learn more about Nyla's culture and our exceptional benefit packages click here.

Nyla is an equal opportunity employer.