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Remote Lidar Data Processing Jobs in Ohio (NOW HIRING)

GRVTY

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.

SciTec

Sr. Staff Software Engineer

Dayton, OH · On-site +1

$119K - $157K/yr

... remote sensing algorithms, tools, and techniques to deliver world-class data exploitation ... Design, implement, and maintain real-time or near-real-time data processing and streaming workflows

SciTec

Senior Software Engineer

Dayton, OH · On-site +1

$119K - $157K/yr

... remote sensing algorithms, tools, and techniques to deliver world-class data exploitation ... Design, implement, and maintain real-time or near-real-time data processing and streaming workflows

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT ... Business Process Improvement: Collaborate with project requestors, stakeholders, and project ...

ALLOBAAS

Data Engineer II

Lakewood, OH · On-site +1

Process analysis and design * Systems architecture Necessary competencies: * Critical thinking ... If fully remote: must be willing to travel * This position will require the ability to work ...

Booz Allen Hamilton

Data Analyst

Dayton, OH · On-site +1

$61K - $141K/yr

Work closely with subject matter experts to learn about specific products and processes. * Support ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

FMHC

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

Process analysis and design * Systems architecture Necessary competencies: * Critical thinking ... If fully remote: must be willing to travel * This position will require the ability to work ...

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All JobsRemote Lidar Data Processing JobsRemote Lidar Data Processing Jobs in Ohio

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 the most commonly searched types of Lidar Data Processing jobs in Ohio? The most popular types of Lidar Data Processing jobs in Ohio are:
What are popular job titles related to Remote Lidar Data Processing jobs in Ohio? For Remote Lidar Data Processing jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Lidar Data Processing jobs in Ohio look for? The top searched job categories for Remote Lidar Data Processing jobs in Ohio are:
What cities in Ohio are hiring for Remote Lidar Data Processing jobs? Cities in Ohio with the most Remote Lidar Data Processing job openings:
Remote Lidar Data Processing jobs near you

Software Engineer, Senior

GRVTY

Dayton, OH • On-site, Remote

$119K - $157K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Key responsibilities

  • Design, develop, and maintain Python-based software tools supporting optical signature modeling, spectral sensor data processing, and analytical workflows.

  • Build and optimize data pipelines for ingesting, processing, and analyzing large-scale scientific and sensor datasets.

  • Develop and integrate machine learning workflows, including training data preparation, model integration, and evaluation, into operational toolsets.

Job description

What Impact You'll Have

GRVTY is looking for a Senior Software Engineer to join a small, technically focused team supporting national security missions at a customer site in Dayton, Ohio. This is hands-on engineering work — you will be designing and building Python-based software tools that support optical signature modeling, spectral data analysis, and machine learning-enabled sensor workflows. The work spans algorithm development, data pipeline construction, and integration of ML capabilities into operational and analytical environments.

You will work directly with scientists, sensor domain experts, and intelligence analysts — translating complex technical requirements into functional, maintainable software. This is not a role for someone looking to coast. We want someone who is technically sharp, can operate with a degree of autonomy, and understands that the software they build has real downstream impact on mission outcomes.

What You'll be Owning

  • Design, develop, and maintain Python-based software tools supporting optical signature modeling, spectral sensor data processing, and analytical workflows.
  • Work with sensor physicists, data scientists, and machine learning engineers to translate technical concepts and mission requirements into working software.
  • Build and optimize data pipelines for ingesting, processing, and analyzing large-scale scientific and sensor datasets.
  • Develop and integrate machine learning workflows — including training data preparation, model integration, and evaluation — into operational toolsets.
  • Create clear software architecture documentation, workflow diagrams, and code structure so tools can be maintained, extended, and transitioned effectively.
  • Test, validate, and troubleshoot algorithms and software modules across development and deployment environments, including classified workspaces.
  • Manage and maintain Git repositories with discipline — clean commits, meaningful documentation, and reproducible builds.
  • Contribute to a culture of technical rigor: peer reviews, coding standards, and honest engagement with complex problems.

What You Must Have

  • Active TS/SCI clearance with CI polygraph.
  • Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a related STEM field. Equivalent hands-on experience will be considered.
    • 9+ years of professional software development experience, with demonstrated focus on scientific computing, algorithm development, data processing, or related technical domains or 7+ years of experience and a Masters degree
  • Expert-level Python programming, including object-oriented design, modular architecture, and production-quality code.
  • Experience developing software for data-intensive workflows — sensor data, scientific data, simulation, or equivalent.
  • Ability to work from technical or scientific requirements and produce well-structured software architecture, logic flows, and implementation plans.
  • Comfortable operating in both Windows and Linux environments, including secure or classified customer workspaces.
  • Familiarity with source control and development tooling: Git, GitLab, Bitbucket, Jira, Jenkins, or equivalent.
  • Strong communication skills — able to work directly with domain experts who are not software engineers and translate what they need into software that actually works.

What Would be Nice to Have

  • Experience with optical signature modeling, EO/IR sensor data, spectral analysis, or hyperspectral data processing.
  • Familiarity with machine learning frameworks and workflows: PyTorch, TensorFlow, scikit-learn, or equivalent.
  • Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar.
  • Background in signal processing, image processing, or remote sensing data workflows.
  • Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.
  • Familiarity with ML/Ops practices — training pipelines, data labeling, model evaluation, and deployment workflows.
  • Experience integrating algorithms into existing operational software suites.
  • Proficiency in a secondary technical language: C, C++, MATLAB, Java, or Rust.
  • Advanced degree in a relevant technical field (Computer Science, Electrical Engineering, Physics, Image Science, or related).
  • Prior experience supporting defense, intelligence, or classified customer environments.
  • Experience with CI/CD practices, automated testing, and DevSecOps tooling.

Why Choose GRVTY

The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world.

We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives.

At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance.

• Robust health plan including medical, dental, and vision

• Health Savings Account with company contribution

• Annual Paid Time Off and Paid Holidays

• Paid Parental Leave

• 401k with generous company match

• Training and Development Opportunities

• Award Programs

• Variety of Company Sponsored Events

EEO Statement

GRVTY, is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability.

Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details.  A member of the HR team will respond to your request within 2 business days. 

Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) 

Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.