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Imagine Learning Jobs in Colorado (NOW HIRING)

Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people ... Experience with machine learning and data science tools (e.g., Jupyter, Apache Spark, Google ...

Junior Software Developer - TS/SCI

Denver, CO · On-site

$69K - $89K/yr

Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people ... Work with tools and frameworks such as AWS, Docker, Kubernetes, and machine learning libraries (e.g ...

Senior ML Software Engineer, Watch Software

Boulder, CO · On-site

$127K - $167K/yr

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services ... We are looking for a versatile Machine Learning Software Engineer who is passionate about ...

Install Manager

Denver, CO · On-site

$66K - $102K/yr

We sell, service, and install every type of door you can imagine! Our managers are skilled at scheduling, dispatching, project management, and managing labor costs. If you have strong managerial and ...

We sell, service, and install every type of door you can imagine! Our managers are skilled at scheduling, dispatching, project management, and managing labor costs. If you have strong managerial and ...

Install Manager

Denver, CO · On-site

$66K - $102K/yr

We sell, service, and install every type of door you can imagine! Our managers are skilled at scheduling, dispatching, project management, and managing labor costs. If you have strong managerial and ...

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Imagine Learning information

See Colorado salary details

$8

$23

$42

How much do imagine learning jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for imagine learning in Colorado is $23.62, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $29.09 per hour, depending on experience, location, and employer.

Is Imagine Learning a good company to work for?

Imagine Learning is a company that develops educational software and employs professionals in areas such as software development, customer support, and sales. Employee reviews often cite a collaborative environment and opportunities for growth, though experiences can vary based on role and location.

What are the key skills and qualifications needed to thrive as an Imagine Learning Specialist, and why are they important?

To thrive as an Imagine Learning Specialist, you need a background in education, strong instructional skills, and familiarity with digital literacy, often supported by a teaching credential or degree in education. Experience with learning management systems (LMS), educational software like Imagine Learning, and data analysis tools is typically required. Excellent communication, adaptability, and the ability to motivate and engage diverse learners are standout soft skills in this role. These skills enable effective technology integration, personalized instruction, and improved student outcomes in digital learning environments.

Who is the CEO of Imagine Learning?

As of October 2023, the CEO of Imagine Learning is David C. Vance. He has been leading the company, which specializes in educational software and literacy solutions, since 2020.

What is the difference between Imagine Learning vs Reading Specialist?

AspectImagine LearningReading Specialist
CredentialsTypically requires a bachelor's degree in education or related fieldRequires a bachelor's degree in education, literacy, or related field; often certification in reading or literacy
Work EnvironmentPrimarily works with students using digital learning platforms, often in schools or online settingsWorks directly with students, teachers, and parents to improve reading skills, often in schools or clinics
Industry UsageUsed in educational technology and e-learning sectorsCommon in K-12 education, literacy programs, and special education

Imagine Learning focuses on digital literacy tools and e-learning platforms, while Reading Specialists provide direct instruction and support to improve reading skills. Both roles aim to enhance literacy but differ in their methods and work environments.

What is Imagine Learning?

Imagine Learning is an education technology company that develops digital curriculum and software to support student learning, particularly in literacy, language development, and mathematics. Their products are widely used in K–12 schools to provide personalized, adaptive instruction. Imagine Learning's programs are designed to support diverse learners, including English language learners, by offering interactive lessons, assessments, and teacher resources. The goal is to help students achieve academic success through engaging and data-driven educational experiences.

What are the typical responsibilities and team dynamics for someone working at Imagine Learning?

At Imagine Learning, employees often collaborate in multidisciplinary teams to develop and support educational technology products. Typical responsibilities may include designing curriculum, creating engaging digital content, working closely with software developers, and gathering feedback from educators to improve offerings. The work environment is generally fast-paced and mission-driven, with a strong focus on innovation and teamwork. Team members regularly attend cross-functional meetings and are encouraged to contribute ideas, making it a supportive setting for professional growth.

How to get into Imagine Learning?

To get into an Imagine Learning role, candidates should review the company's job openings on their careers page or job boards, ensure they meet the required qualifications, and submit a tailored application. Relevant skills often include experience with educational technology, strong communication, and proficiency with relevant tools or software. Preparing for interviews by understanding the company's mission and products can also improve chances of hiring.

How much do Imagine Learning teachers make?

Imagine Learning teachers typically earn between $40,000 and $60,000 annually, depending on experience, location, and education level. They often work in educational technology or language learning environments, requiring strong communication and instructional skills.
What are popular job titles related to Imagine Learning jobs in Colorado? For Imagine Learning jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Imagine Learning jobs? Cities in Colorado with the most Imagine Learning job openings:
Infographic showing various Imagine Learning job openings in Colorado as of June 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $49,131 per year, or $23.6 per hour.
Digital Signal Processing Engineer - Mid Level - TS/SCI

Digital Signal Processing Engineer - Mid Level - TS/SCI

Parsons

Denver, CO • On-site

$103K - $181K/yr

Full-time

Posted 16 days ago


Parsons rating

7.9

Company rating: 7.9 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

159th of 357 rated engineering


Job description

In a world of possibilities, pursue one with endless opportunities. Imagine Next!At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what's possible.

Job Description:

Parsons Corporation, is seeking qualified candidates to fill a Digital Signal Processing Engineer (DSP) positions at our headquarters in Chantilly, VA.

We are currently searching for full-time Digital Signal Processing Engineers that will design, develop and maintain complex systems. We meet customer and mission needs by leveraging cutting-edge research and technology, using small teams to rapidly get capabilities into the hands of the warfighter. Our technical efforts focus on signal processing, image processing, full-motion video, mission planning, and data analytics.

As an integral part of our team, you would work on one or more efforts at a time, assisting with multiple parts of the development process, including design, development, testing and deployment. Since we deal with specific customer needs, it will be necessary to understand the problem, to utilize methods from a potentially wide variety of domains, produce functional solutions, and see the efforts through to completion. Opportunities to cross-cut technical areas and hone adjacent skills abound.

What You'll Be Doing:

  • Design, develop, and optimize digital signal processing algorithms for [specific application, e.g., audio, communications, radar, etc.]
  • Implement DSP algorithms in software and/or hardware using programming languages such as C, C++, MATLAB, Python, etc.
  • Collaborate with cross-functional teams to integrate DSP solutions into larger systems and ensure compatibility
  • Conduct simulations, testing, and debugging of DSP algorithms to validate functionality and performance
  • Stay updated on advancements in DSP technologies and apply innovative techniques to sole novel challenges
  • Troubleshoot and resolve issues related to signal processing, hardware/software integration, andsystem performance
  • Support product development lifecycle, including prototyping, testing, and deployment of DSP-based systems

What Required Skills You'll Bring:

  • Must have a Bachelor's or advanced degree in Electrical Engineering, Computer Engineering or related discipline

  • TS/SCI is required

  • Minimum of 5 years of experience in software implementation of algorithms related to digital wireless communications, signal processing, signal geolocation, estimation theory, image processing, control systems, statistics, machine learning and/or pattern recognition

  • Exposure with one or more tools/frameworks: X-Midas, GNU Radio, MATLAB

  • Minimum of 2 years within one or more programming languages: C/C++, Python

  • Minimum of 2 years of experience with Linux

  • Code management with Git or other common tools

What Desired Skills You'll Bring:

  • Experience with CUDA or other parallel processing and high performance computing frameworks

  • Experience working with ARM or other non-x86 embedded platform

  • Experience using software-defined radio hardware (USRP or similar) for testing and/or prototyping

  • Application of machine learning techniques to signal processing, communications, and signal localization challenges

  • An active TS/SCI w/polygraph is preferred

Security Clearance Requirement:

An active Top Secret SCI security clearance is required for this position.This position is part of our Federal Solutions team.The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now.Salary Range: $103,500.00 - $181,100.00This position will be posted for a minimum of 3 days and will continue to be posted for an average of 30 days until a qualified applicant is selected or the position has been cancelled.Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY!

Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer tohttps://www.parsons.com/fraudulent-recruitment/.


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