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Remote Lidar Data Processing Jobs in Washington (NOW HIRING)

Seyond is a leading global provider of image-grade LiDAR technology, powering a safer, smarter and ... Remote - Eastern United States * Travel: Approximately 30-40% throughout the territory Territory ...

Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0239684 Location: McLean,VA,US Share job via: Share Data Engineer The ... From batch ingestion to near real-time processing, your work will directly support national ...

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

08-Apr-2026 Sr Data Engineer US (Remote) 10569BR Company Summary As the recognized global standard ... processing. * Hands-on experience with data pipeline orchestration tools (Airflow, DBT, Luigi, or ...

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

08-Apr-2026 Sr Data Engineer US (Remote) 10786BR Company Summary As the recognized global standard ... process. Job Expires 17-Mar-2027

Big Data Engineer Principal

Arlington, VA · Remote

$64.25 - $85/hr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified applicants to ... Proficiency with Apache Spark ( PySpark /Scala/SQL) for large-scale data processing and ...

Big Data Engineer Principal

Arlington, VA · Remote

$64.25 - $84.75/hr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking qualified applicants to ... Proficiency with Apache Spark (PySpark/Scala/SQL) for large-scale data processing and ...

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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 popular job titles related to Remote Lidar Data Processing jobs in Washington? For Remote Lidar Data Processing jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Lidar Data Processing jobs in Washington look for? The top searched job categories for Remote Lidar Data Processing jobs in Washington are:
What cities in Washington are hiring for Remote Lidar Data Processing jobs? Cities in Washington with the most Remote Lidar Data Processing job openings:
Spark Data Engineer (Secret to TS/SCI Poly- Cleared) with Security Clearance

Spark Data Engineer (Secret to TS/SCI Poly- Cleared) with Security Clearance

Zachary Piper Solutions, LLC

Washington, DC • On-site, Remote

$150K - $260K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


Job description

Zachary Piper Solutions is seeking a Spark Data Engineer to support a federal customer in the DC metro area. This role focuses on big data engineering, optimization, and performance tuning using Apache Spark. The ideal candidate will have strong experience in data engineering, SQL query optimization, and distributed computing.

Customer-facing skills and excellent communication are essential for success in this position. Work Environment: Washington, DC metro area; hybrid and remote considered for exceptional candidates Clearance: Minimum for a DoD Secret clearance, can hold up to a TS/SCI w/ FSP Responsibilities: • Design and implement scalable data pipelines and architectures using Apache Spark. • Optimize Spark jobs for performance and efficiency across large datasets.

• Collaborate with clients to understand requirements and deliver technical solutions. • Support data engineering tasks including ETL, data warehousing, and query optimization. • Assist with integration of Spark-based solutions into cloud environments (AWS, Azure, GCP).

• Provide technical guidance on best practices for big data processing and analytics. • Participate in short- to medium-term customer engagements, ensuring successful delivery of projects. Qualifications: • Bachelor’s degree in Computer Science or related field required.

• Minimum 5 years of experience in data engineering and distributed computing. • Strong expertise in Apache Spark and performance optimization techniques. • Proficiency in SQL and experience with data warehousing and query tuning.

• Familiarity with Python or Scala programming languages. • Working knowledge of cloud ecosystems (AWS, Azure, or GCP). • Excellent communication and customer-facing skills.

• Ability to manage scope, timelines, and deliverables in technical projects. Preferred: • Experience with machine learning and data science concepts. • Familiarity with CI/CD pipelines and MLOps practices.

• Knowledge of Databricks platform and big data architecture design. Compensation: • Salary Range: $150,000 - $260,000 (based on experience). • Benefits: Cigna medical, dental, vision, 401k, 20 days paid time off, 11 federal holidays, and sick leave as required by law.