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Remote Technology Transfer Jobs in Concord, NH (NOW HIRING)

Crowe LLP

Cyber AI Security Manager

Manchester, NH · On-site +1

$110K - $149K/yr

... transferable skills, think critically, and use technology to solve real business problems. In this ... We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ...

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All JobsTechnology Transfer JobsRemote Technology Transfer JobsRemote Technology Transfer Jobs in Concord, NH

Remote Technology Transfer information

See Concord, NH salary details

$90.6K

$119.1K

$159.5K

How much do remote technology transfer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote technology transfer in Concord, NH is $119,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,700.00 and $127,300.00 per year, depending on experience, location, and employer.

What is remote technology transfer?

Remote technology transfer refers to the process of sharing or licensing technology, knowledge, or innovations between organizations or locations without requiring physical presence. This can involve digital communication, virtual collaboration tools, and secure data exchange to facilitate the transfer of intellectual property, research findings, or technical expertise. Remote technology transfer helps organizations collaborate across distances, accelerate innovation, and bring new products or services to market more efficiently. It is commonly used in sectors such as healthcare, manufacturing, and information technology, especially in a globalized business environment.

What are the key skills and qualifications needed to thrive as a remote technology transfer specialist?

To thrive as a Remote Technology Transfer Specialist, you need strong expertise in intellectual property, licensing, and scientific research, often supported by a degree in science or engineering and experience in technology commercialization. Familiarity with contract management tools, patent databases, and CRM systems is typically required. Excellent communication, negotiation skills, and the ability to collaborate virtually are critical soft skills in this role. These competencies are essential to successfully facilitate the transfer of technology from research to market while managing remote stakeholder relationships.

What are some common challenges faced by professionals in remote technology transfer roles, and how can they be addressed?

Professionals in remote technology transfer often encounter challenges such as coordinating across time zones, ensuring clear communication between inventors and partners, and managing confidential information securely online. These obstacles can be addressed by adopting robust project management tools, establishing regular virtual check-ins, and using secure file-sharing platforms. Building strong virtual relationships and setting clear expectations with stakeholders are also key to successful collaboration and smooth technology commercialization.

What is the difference between Remote Technology Transfer vs Remote Research Scientist?

AspectRemote Technology TransferRemote Research Scientist
Required CredentialsTypically requires engineering, science, or technology transfer certificationsRequires advanced degrees in science or engineering, research experience
Work EnvironmentCollaborates with industry partners, patent offices, and R&D teams remotelyConducts experiments, analyzes data, and publishes findings remotely
Employer & Industry UsageUsed in tech transfer offices, R&D departments, biotech, and manufacturingCommon in academic, government, and corporate research settings

Remote Technology Transfer involves facilitating the transfer of technology from research to commercial use, focusing on licensing, patents, and industry collaboration. Remote Research Scientists conduct experiments and analyze data to generate new knowledge. While both roles require scientific expertise, Remote Technology Transfer emphasizes commercialization and industry partnerships, whereas Remote Research Scientists focus on scientific discovery and experimentation.

What job categories do people searching Remote Technology Transfer jobs in Concord, NH look for?

The top searched job categories for Remote Technology Transfer jobs in Concord, NH are:

Remote Technology Transfer jobs near you
Infographic showing various Remote Technology Transfer job openings in Concord, NH as of June 2026, with employment types broken down into 73% Full Time, and 27% Part Time. Highlights an 100% Remote job distribution, with an average salary of $119,149 per year, or $57.3 per hour.

Solutions Delivery Engineer (Remote)

RealPage, Inc.

Concord, NH • Remote

$88K - $150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

RealPage rating

6.0

Company rating: 6.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

226th of 246 rated software companies

Job description

Cherre is now a RealPage company, expanding our ability to deliver innovative data and technology solutions that transform the real estate industry. Join us as we build what’s next together.

Cherre is the leader in real estate data and insight. We connect decision makers to accurate property and market information, and help them make faster, smarter decisions. By providing a unique “single source of truth,” Cherre empowers customers to evaluate opportunities and trends faster and more accurately, while saving millions of dollars in manual data collection and analytics costs.

We’re looking for a passionate and driven Solutions Delivery Engineer to join our Solutions Delivery Team (SDT). In this role you’ll own the full data lifecycle for client delivery as part of a small, high-ownership team working at the cutting edge of real estate data services.


  • Understand and translate client data requirements into clear, well-scoped technical tasks
  • Design and build scalable, maintainable data pipelines aligned to Cherre’s standards, spanning ingestion, transformation, and delivery
  • Author and maintain data models using dbt across BigQuery and Snowfl ake environments, managing schema evolution and version control
  • Contribute to a shared automation and tooling layer that enables the team to resolve issues and deliver connectors faster and more consistently
  • Conduct thorough testing and data validation to ensure accuracy, performance, and compliance with client standards
  • Participate in peer reviews to ensure quality, consistency, and adherence to best practices
  • Write clear documentation for each pipeline or transformation step, including data lineage, mapping logic, and assumptions
  • Monitor, support, and maintain data pipelines for ongoing reliability; iterate on solutions based on client feedback and evolving needs

  • Strong experience in database technologies and data warehousing
  • Experience in Python for backend development and data processing
  • A strong understanding of data modeling techniques (3NF, Dimensional, etc.) and their intended use cases
  • Hands-on experience with cloud data warehouse platforms like BigQuery, Snowfl ake, or Redshift
  • Experience with modern data transformation tools like dbt or Dataform
  • Experience with ELT/ETL frameworks and data ingestion pipelines at scale
  • Working knowledge of data quality frameworks, error handling, logging, and observability practices
  • Clear and professional communication to manage expectations, explain pipeline behavior, and resolve data discrepancies
  • Experience creating data lineage diagrams and documenting pipelines
  • Ability to design and lead data architecture decisions, including schema evolution, pipeline orchestration, and infrastructure-as-code (e.g., Terraform, Docker, Kubernetes)
  • Strong interpersonal skills to align stakeholders, manage ambiguity, and navigate evolving client expectations

Bonus Skills

  • Experience working with real estate data domains such as property, leasing, tenant, transactions, and capital markets
  • Demonstrated experience ingesting and transforming 3rd-party real estate market data (e.g., CoreLogic, CompStak, Yardi Matrix) and application data (e.g., Yardi, MRI, VTS, Realpage Onsite)
  • Familiarity with knowledge graph or graph database concepts
  • Experience with GraphQL APIs and metadata management
  • Knowledge of DevOps practices and cloud platforms like AWS or Google Cloud Platform (GCP)
  • Experience working in Agile environments with a focus on rapid iteration and continuous improvement
  • Deep experience with real estate data ecosystems, including canonical modeling across property management, leasing, and investment systems
  • Demonstrated success integrating bespoke and third-party real estate data at scale, ensuring consistency, integrity, and compliance with client data standards

#LI-Remote


USD $88,400.00 - USD $150,600.00 /Yr.

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