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From Home Lidar Data Processing Jobs in Indiana (NOW HIRING)

Senior Data Platform Engineer

Carmel, IN · On-site

$67.25 - $89.75/hr

... from various ERP and source systems, establishing patterns and best practices for the Data Hub. * Partner with the Data Architect on enterprise data structure design, contributing Data Hub process ...

Senior Data Platform Engineer

Carmel, IN · On-site

$67.25 - $89.75/hr

... from various ERP and source systems, establishing patterns and best practices for the Data Hub. * Partner with the Data Architect on enterprise data structure design, contributing Data Hub process ...

Data Engineer

Carmel, IN · On-site

$114K - $137K/yr

Assists in executing technical plans for extracting, integrating, and moving data to and from third-party providers. * Supports the delivery of enterprise data solutions, including ETL processes ...

Data Engineer

Carmel, IN

$114K - $137K/yr

Assists in executing technical plans for extracting, integrating, and moving data to and from third-party providers. * Supports the delivery of enterprise data solutions, including ETL processes ...

Experience in operating UAS for geospatial data collection, including tasks like LiDAR ... Ability to clearly document processes, create reports, and provide detailed feedback to teams

Experience in operating UAS for geospatial data collection, including tasks like LiDAR ... Ability to clearly document processes, create reports, and provide detailed feedback to teams

Experience in operating UAS for geospatial data collection, including tasks like LiDAR ... Ability to clearly document processes, create reports, and provide detailed feedback to teams

Experience in operating UAS for geospatial data collection, including tasks like LiDAR ... Ability to clearly document processes, create reports, and provide detailed feedback to teams

This role is designed for individuals looking to learn a new skill and work from home with support ... Follow a simple, structured process What You'll Get: * Guided training program * Support from ...

Experience in operating UAS for geospatial data collection, including tasks like LiDAR ... Ability to clearly document processes, create reports, and provide detailed feedback to teams

Showing results 21-40

From Home Lidar Data Processing information

What are the typical challenges faced when working remotely as a lidar data processing specialist?

One common challenge for remote LiDAR Data Processing Specialists is managing large datasets and ensuring stable internet connectivity for data transfers and cloud-based processing tools. Additionally, coordinating with project managers and GIS teams virtually requires strong communication skills to clarify project requirements and resolve data discrepancies. Staying updated on the latest software and maintaining data security from home are also important considerations. However, many organizations offer remote access to high-performance servers and collaborative platforms to support productivity and teamwork.

What is from home lidar data processing?

From Home Lidar Data Processing refers to the remote analysis and interpretation of Lidar (Light Detection and Ranging) data using specialized software from a home office or remote location. Professionals in this role process raw Lidar point cloud data to produce accurate maps, 3D models, and other geospatial information for industries such as surveying, forestry, construction, and environmental monitoring. The job typically involves tasks such as filtering noise, classifying ground and non-ground points, and extracting features, all done through a computer with internet access, without needing to work onsite.

What are the key skills and qualifications needed to thrive as a from home lidar data processing specialist?

To excel in From Home Lidar Data Processing, you need a solid background in geospatial analysis, remote sensing, and data management, typically supported by a degree in geography, GIS, or a related field. Familiarity with specialized software like LAStools, ArcGIS, and Global Mapper, as well as experience handling large datasets, is crucial. Attention to detail, problem-solving, and strong self-motivation are important soft skills for ensuring data accuracy and meeting project deadlines independently. These skills and qualities are essential for delivering precise, reliable Lidar results while working remotely and collaborating effectively with distributed teams.

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

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

What are popular job titles related to From Home Lidar Data Processing jobs in Indiana?

For From Home Lidar Data Processing jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching From Home Lidar Data Processing jobs in Indiana look for?

The top searched job categories for From Home Lidar Data Processing jobs in Indiana are:

What cities in Indiana are hiring for From Home Lidar Data Processing jobs?

Cities in Indiana with the most From Home Lidar Data Processing job openings:

Infographic showing various From Home Lidar Data Processing job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution.

Senior Data Platform Engineer

Allegion

Carmel, IN • On-site

$67.25 - $89.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Allegion rating

8.3

Company rating: 8.3 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

67th of 539 rated manufacturers


Job description

Creating Peace of Mind by Pioneering Safety and Security

At Allegion, we help keep the people you know and love safe and secure where they live, work and visit. With more than 30 brands, 12,000+ employees globally and products sold in 130 countries, we specialize in security around the doorway and beyond.Additionally, in 2024 we were awarded the Gallup Exceptional Workplace Award, which recognizes the most engaged workplace cultures in the world.

Senior Data Platform Engineer

This position serves as the senior technical expert for Data Hub processes within the Global Data & Analytics Team, owning the design and implementation of data ingestion, transformation, and transmission workflows for the Operational Data Hub. The Senior Data Platform Engineer is the go-to authority for Data Hub architecture and processes, while actively contributing technical expertise to enterprise data structure design in partnership with the Data Architect. This role mentors mid-level engineers, collaborates with Lead Engineers and cross-functional stakeholders, and balances deep technical expertise (80%) with informal leadership and mentorship (20%).

Qualified candidates must be legally authorized to be employed in the United States. The company does not intend to provide sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this employment position.

What You Will Do:

  • Own and architect Data Hub processes and workflows, including data ingestion pipelines, transformation logic, transmission patterns, and integration orchestration.
  • Design and implement sophisticated data pipeline architectures from various ERP and source systems, establishing patterns and best practices for the Data Hub.
  • Partner with the Data Architect on enterprise data structure design, contributing Data Hub process expertise, feasibility assessments, and technical requirements.
  • Define Data Hub technical standards and patterns for pipeline development, error handling, monitoring, and operational workflows.
  • Collaborate with the Data Architect to ensure alignment between Data Hub processes and enterprise data models, providing input on how data structures impact processing efficiency.
  • Lead technical design sessions for Data Hub initiatives, making architectural decisions on ingestion patterns, transformation approaches, and integration strategies.
  • Contribute technical expertise to data structure discussions, advising on pipeline performance implications, transformation complexity, and operational considerations.
  • Provide technical mentorship to mid-level Data Platform Engineers on Data Hub architecture, patterns, and implementation best practices.
  • Drive complex problem-solving for Data Hub operational issues, including performance optimization, pipeline troubleshooting, and root cause analysis.
  • Implement advanced transformation and enrichment frameworks that leverage enterprise data structures designed by the Data Architect.
  • Own end-to-end architecture of Data Hub components, including serverless compute, orchestration, monitoring, and operational tooling.
  • Evaluate and prototype emerging technologies for Data Hub capabilities, providing recommendations on tools and platforms for data processing.
  • Establish data quality frameworks for Data Hub processes, implementing validation, testing, and monitoring strategies in collaboration with the Data Architect.
  • Design and implement Data Hub governance controls, including security, compliance, and operational best practices for data processing workflows.
  • Optimize Data Hub performance and cloud resource utilization, identifying opportunities for efficiency improvements and cost savings.
  • Document Data Hub architectures and technical patterns comprehensively, creating runbooks, design guides, and knowledge base articles.
  • Participate in on-call rotation for Data Hub production support, leading incident resolution and conducting technical post-mortems.

What You Need to Succeed:

  • 5-7 years of experience designing and implementing data hub solutions, operational data platforms, or similar data processing architectures.
  • Expert-level experience owning data pipeline architectures, including event-driven patterns, real-time processing, and batch workflows.
  • Advanced expertise architecting serverless solutions with Azure Function Apps or equivalent compute services for data processing at scale.
  • Deep experience with data hub processes including ingestion patterns, transformation frameworks, orchestration, and operational monitoring.
  • Advanced experience designing and optimizing Azure SQL Databases or similar platforms for operational data storage within hub architectures.
  • Expert SQL skills with proven ability to optimize queries, design efficient processing logic, and contribute to data modeling discussions.
  • Strong understanding of enterprise data architecture principles, with ability to contribute technical expertise to data structure and modeling decisions.
  • Proven ability to collaborate with Data Architects, providing Data Hub process perspective on data structure designs and enterprise models.
  • Demonstrated expertise in data integration patterns involving ERP systems, APIs, and enterprise application data flows.
  • Experience with Azure Data Lake, Azure Synapse Analytics, or similar platforms, understanding how Data Hub processes interact with enterprise data layers.
  • Proven track record of owning complex Data Hub architectures and delivering technical solutions independently.
  • Strong mentorship capabilities with experience guiding engineers on Data Hub patterns, pipeline development, and operational best practices.
  • Excellent problem-solving skills for Data Hub operational challenges, including performance tuning, troubleshooting, and reliability improvements.
  • Experience with CI/CD pipelines and Infrastructure as Code for automating Data Hub deployments and configuration management.
  • Strong understanding of data security and compliance requirements, implementing controls within Data Hub processes.
  • Excellent technical communication skills to collaborate with Data Architects, document architectures, and explain Data Hub technical tradeoffs.
  • Experience contributing to architectural discussions across data structures and processes, providing balanced technical perspectives.
  • Self-motivated with strong organizational skills, able to own Data Hub initiatives while contributing to broader architectural decisions.
  • Deep experience with DataOps/DevOps practices, including monitoring, logging, observability, and operational excellence for data systems.
  • Knowledge of cloud cost optimization for data processing workloads and efficient resource utilization.
  • Bachelor's degree in computer science, Information Technology, Engineering, or related technical discipline, or equivalent practical experience.

Why Work for Us?

Allegion is a Great Place to Grow your Career if:

  • You're seeking a rewarding opportunity that allows you to truly help others. With thousands of employees and customers around the world, there's plenty of room to make an impact. As our values state, "this is your business, run with it".
  • You're looking for a company that will invest in your professional development. As we grow, we want you to grow with us.
  • You want a culture that promotes work-life balance. Our employees enjoy generous paid time off, because at Allegion we recognize that you have a full life outside of work!
  • You want to work for an award-winning company that invests in its people. Allegion is proud to be a recipient of the Gallup Exceptional Workplace Award for the second year in a row, recognizing our commitment to employee engagement, strengths-based development, and unlocking human potential.

What You'll Get from Us:

  • Health, dental and vision insurance coverage, helping you "be safe, be healthy".
  • A commitment to your future with a 401K plan, offering a 6% company match and no vesting period
  • Tuition Reimbursement
  • Unlimited PTO
  • Employee Discounts through Perks at Work
  • Community involvement and opportunities to give back so you can "serve others, not yourself"
  • Opportunities to leverage your unique strengths through CliftonStrengths testing and coaching

Apply Today!

Join our team of experts today and help us make tomorrow's world a safer place!

Not sure if your experience perfectly aligns with the role?Studies have shown that some people are less likely to apply to jobs unless they meet every single qualification and every single preferred qualification of a job posting. At Allegion, we are dedicated to building a diverse, inclusive, and authentic workplace. So, if you're excited about this role but your past experience doesn't align perfectly with every item in the job description, we encourage you to apply anyway. You may be just the right candidate for this role.

We Celebrate Who We Are!

Allegion is committed to building and maintaining a diverse and inclusive workplace. Together, we embrace all differences and similarities among colleagues, as well as the differences and similarities within the relationships that we foster with customers, suppliers and the communities where we live and work. Whatever your background, experience, race, color, national origin, religion, age, gender, gender identity, disability status, sexual orientation, protected veteran status, or any other characteristic protected by law, we will make sure that you have every opportunity to impress us in your application and the opportunity to give your best at work, not because we're required to, but because it's the right thing to do. We are also committed to providing accommodations for persons with disabilities. If for any reason you cannot apply through our career site and require an accommodation or assistance, please contact our Talent Acquisition Team.

Allegion plc, 2023 | Block D, Iveagh Court, Harcourt Road, Dublin 2, Co. Dublin, Ireland

REGISTERED IN IRELAND WITH LIMITED LIABILITY REGISTERED NUMBER 527370

Allegion is an equal opportunity and affirmative action employer

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