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Entry Level Computer Science Degree Jobs in Alberta

Viridien

Machine Learning Engineer

Calgary, AB

Qualifications Preferred Education Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines. Key Skills & Competencies * Passion and aptitude ...

Ketek Group Inc

Programmer

Edmonton, AB

Preferred Experience with virtualization Bachelor's degree/college program in computer science or another similar discipline with a significant programming component. Comfortable with Windows and ...

Procore

Software Engineer 2

Edmonton, AB

Bachelor's Degree in Computer Science, Engineering, or equivalent experience * 2+ years of professional software development experience * Hands-on experience with a strongly-typed, object-oriented ...

New

Procore

Software Engineer 2

Edmonton, AB · On-site

Bachelor's Degree in Computer Science, Engineering, or equivalent experience * 2+ years of professional software development experience * Hands-on experience with a strongly-typed, object-oriented ...

New

Amd

Senior Staff Software Development Eng.

Calgary, AB · Hybrid

Eng. degree in Computer Science, Software Engineering, Electrical Engineering, Applied Mathematics, or equivalent * Advanced degrees, such as M.Sc., M.Eng., Ph.D. are preferred. LOCATION: Calgary ...

JPI Solutions

Senior SCADA Specialist

Grande Prairie, AB · On-site +1

$50 - $75/hr

Degree in Electrical, Automation, Process, or Computer Science Engineering; or Instrumentation Technologist Diploma; or Electrical Technologist Diploma; or a Journeyman Instrumentation Mechanic or ...

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Entry Level Computer Science Degree information

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Graduate, and why are they important?

To thrive as an Entry Level Computer Science Graduate, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and data structures, typically backed by a bachelor's degree in computer science or a related field. Familiarity with version control systems (like Git), basic software development tools, and potentially certifications like CompTIA IT Fundamentals or AWS Certified Cloud Practitioner is valuable. Strong problem-solving abilities, teamwork, and effective communication skills help you stand out in collaborative, fast-paced environments. These skills and qualifications are important because they enable you to contribute to technology projects efficiently, adapt to new challenges, and work effectively with diverse teams.

How to make $100,000 a year with no degree?

Entry-level computer science roles typically require a degree, but some high-paying jobs like software developer, cybersecurity analyst, or cloud engineer can be accessed through self-study, certifications, and building a strong portfolio. Gaining skills in programming languages, cloud platforms, or cybersecurity tools can help increase earning potential without a formal degree.

What types of projects or tasks can I expect to work on as an entry-level computer science graduate?

As an entry-level computer science graduate, you can expect to work on a variety of foundational tasks such as debugging code, writing and testing software modules, maintaining databases, and assisting with user support. Many teams pair new hires with experienced mentors, allowing you to learn best practices and gradually take on more complex responsibilities. You may also participate in team meetings, contribute to documentation, and collaborate with other departments like quality assurance or product management. This hands-on experience helps you build technical skills while developing a deeper understanding of the software development lifecycle.

What job makes $10,000 a month without a degree?

High-paying jobs that can reach $10,000 a month without a degree often include roles such as software developers, sales managers, or skilled trades like electricians and plumbers, especially with experience and certifications. Success in these roles typically depends on skills, performance, and sometimes entrepreneurial efforts, rather than formal education alone.

Can I get an entry level job as a CS major?

Entry level computer science jobs are accessible to recent graduates with a bachelor's degree in computer science or related fields. These roles often require foundational skills in programming languages like Java, Python, or C++, and familiarity with tools such as Git and Linux. Internships and certifications can also improve chances of securing an entry level position.

What professions make $200,000 a year without a degree?

High-paying professions that can reach $200,000 annually without a degree include roles such as software developers, sales managers, real estate brokers, and certain skilled trades like commercial pilots or elevator installers. Success in these fields often depends on experience, certifications, technical skills, or sales performance rather than formal education.

What jobs can I get with an entry level computer science degree?

With an entry level computer science degree, you can qualify for a range of positions such as software developer, web developer, IT support specialist, data analyst, and quality assurance tester. Many entry-level roles involve programming, assisting with software development, troubleshooting technical issues, and supporting IT infrastructure. Some graduates also find opportunities in fields like cybersecurity, database management, and network administration. Your exact job prospects may depend on your coursework, internships, and technical skills. Building a portfolio and gaining practical experience through projects or internships can enhance your chances in the job market.
What are popular job titles related to Entry Level Computer Science Degree jobs in Alberta? For Entry Level Computer Science Degree jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Degree jobs in Alberta look for? The top searched job categories for Entry Level Computer Science Degree jobs in Alberta are:
What cities in Alberta are hiring for Entry Level Computer Science Degree jobs? Cities in Alberta with the most Entry Level Computer Science Degree job openings:
Entry Level Computer Science Degree jobs near you
Infographic showing various Entry Level Computer Science Degree job openings in Alberta as of June 2026, with employment types broken down into 2% As Needed, 57% Full Time, 38% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

Machine Learning Engineer

Viridien

Calgary, AB

Full-time

Posted 23 days ago

Job description

Viridien (www.viridiengroup.com) is an advanced technology, digital and Earth data company that pushes the boundaries of science for a more prosperous and sustainable future. With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges.

Machine Learning Engineer

Calgary, AB, Canada

Full-time

Company Description

Viridien is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data science, sensing and monitoring. Our unique portfolio supports our clients in efficiently and responsibly solving complex digital, energy transition, natural resource, environmental, and infrastructure challenges for a more sustainable future.

Job Description

Viridien is looking for a Machine Learning (ML) Engineer to help us create artificial intelligence systems and tools. Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. Strong skills in statistics and programming, as well as knowledge of data science and software engineering. As an integral member of our team, we highly encourage the contribution of ideas and drive in the generation of new concepts to maintain our outstanding leadership position for technology and service delivery in the marketplace.

Must be legally authorized to work in Canada.

Qualifications

Preferred Education

Degree in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical disciplines.

Key Skills & Competencies

  • Passion and aptitude for programming and technology
  • Enthusiasm for analytical and problem-solving challenges
  • Strong enterprise project experience with Machine Learning and AI
  • Strong programming skills within one or more of these development languages - C / C++ / R / Java / Python
  • Good experience with Large Language Model technologies
  • Experience within Data Engineering/Data Structuring
  • Experience creating Machine Learning Algorithms and/or Libraries.
  • Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow/PyTorch)
  • Proficiency to design, build, test, and support innovative solutions.
  • Ability to define and manage project deadlines and balance workloads across a wide variety of projects.
  • Effective communication skills to keep all stakeholders regularly informed on progress.
  • Drive to innovate and have fun through collaboration and generation of ideas which lead to enhancements of our workflows.
  • Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction.

Other Skills/Experience:

  • Data Visualization
  • Predictive Analysis
  • Statistical Modeling
  • Data Mining
  • Clustering & Classification
  • Data Analytics
  • Quantitative Analysis
  • Web Scraping
  • Model Development

Responsibilities:

  • Design machine learning systems
  • Collaborate with stakeholders and technology team to efficiently develop AI solutions.
  • Research and implement appropriate ML algorithms and tools.
  • Develop machine learning applications according to requirements.
  • Provide support to achieve successfully deployed models at conclusion of projects.
  • Plan and manage data analysis workflows.
  • Create charts, graphs, maps, and data visualization tools to provide an accessible way to see/understand trends, patterns, outliers, in data.
  • Select appropriate datasets and data representation methods.
  • Run machine learning tests and experiments.
  • Train and retrain systems when necessary.
  • Extend existing ML libraries and frameworks.

We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.

Apply