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Computer Science Engineering Jobs in Alberta (NOW HIRING)

Bachelor's degree in Computer Science, Engineering or a related field is required; a Master's degree in a business-related discipline (e.g., MBA, MIS, Information Systems, Management, or Analytics ...

... developers, information designers, and business/industry leaders. You will be responsible for ... Computer Science, or a related field is required. • BA/BSc degree in these fields will be ...

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

Degree or equivalent experience in Computer Science, Engineering, or a related field preferred Physical Requirements: * Prolonged periods sitting at a desk and working on a computer/laptop. * Ability ...

Senior Developer, Enterprise AI

Calgary, AB · Remote

CA$176K - CA$202K/yr

Bachelor's degree in Computer Science, Engineering, Data, or equivalent practical experience. * Demonstrate a keen interest in improving your craft by using AI. This is a new position. #LI-Remote ...

Bachelor's degree in computer science, engineering, information systems, or a related field - or equivalent practical experience * 2+ years of experience in software testing, quality assurance, or a ...

Bachelor's degree in computer science, engineering, information systems, or a related field - or equivalent practical experience * 2+ years of experience in software testing, quality assurance, or a ...

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Computer Science Engineering information

What jobs can you do with computer engineering?

Computer engineering graduates can pursue roles such as software developer, hardware engineer, systems analyst, network administrator, cybersecurity analyst, and embedded systems engineer. These positions often require knowledge of programming languages, hardware design, and networking, and may involve working in office, lab, or remote environments.

What engineers make $300,000 a year?

Senior software engineers, especially those working in high-demand areas like Silicon Valley or with expertise in AI, machine learning, or cloud computing, can earn $300,000 or more annually. These roles often require advanced skills, extensive experience, and sometimes stock options or bonuses as part of compensation packages.

What is Computer Science Engineering?

Computer Science Engineering (CSE) is a branch of engineering that integrates computer science and engineering principles to design, develop, and maintain software and hardware systems. CSE professionals work on a wide range of technologies, including programming, algorithms, computer networks, databases, artificial intelligence, and cybersecurity. The field prepares graduates for careers in software development, systems analysis, data science, and more. It is one of the most in-demand disciplines due to the increasing reliance on technology across industries.

What is the difference between Computer Science Engineering vs Software Developer?

AspectComputer Science EngineeringSoftware Developer
Required CredentialsBachelor's in Computer Science or related field; sometimes certificationsBachelor's in Computer Science, Software Engineering, or related; certifications optional
Work EnvironmentUniversities, research labs, tech companies, R&D centersTech companies, startups, freelance projects, corporate IT teams
Industry UsageAcademic, research, product development, software designApplication development, coding, testing, deployment
Common Search/ComparisonFocuses on theoretical and foundational knowledgeFocuses on practical coding and project implementation

Computer Science Engineering and Software Developer roles overlap in skills and industry usage, but differ mainly in focus. Computer Science Engineering emphasizes theoretical foundations and research, while Software Developers concentrate on coding and building applications. Both roles are vital in tech industries, with CS Engineering often leading to research or academic careers, and Software Developers working on practical software solutions.

What can a computer science engineer do?

A computer science engineer designs, develops, and maintains software systems, applications, and algorithms. They work with programming languages, data structures, and computer hardware, often collaborating in teams and using tools like integrated development environments (IDEs). Their roles can include software development, system analysis, cybersecurity, and data management.

What are some common challenges faced by Computer Science Engineers in collaborative projects, and how can they be addressed?

Computer Science Engineers often work on multidisciplinary teams where communication gaps, differing technical backgrounds, and unclear project requirements can pose challenges. To address these, effective documentation, regular cross-functional meetings, and utilizing collaborative tools (like version control and project management platforms) are essential. Building strong communication skills and fostering a culture of open feedback help ensure everyone stays aligned and project goals are met efficiently.

What are the key skills and qualifications needed to thrive as a Computer Science Engineer, and why are they important?

To thrive as a Computer Science Engineer, you need strong programming skills, a solid grasp of algorithms, data structures, and systems design, typically backed by a degree in computer science or a related field. Familiarity with languages like Python, Java, or C++, version control systems such as Git, and certifications like AWS Certified Solutions Architect or CompTIA Security+ are often valuable. Analytical thinking, problem-solving abilities, and effective teamwork are standout soft skills in this role. These competencies are essential for developing robust software solutions, adapting to emerging technologies, and collaborating efficiently in dynamic engineering environments.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-paying industries like finance or technology, can earn $500,000 or more annually, often through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in programming, and working at top-tier companies or in leadership roles.
What are popular job titles related to Computer Science Engineering jobs in Alberta? For Computer Science Engineering jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Computer Science Engineering jobs in Alberta look for? The top searched job categories for Computer Science Engineering jobs in Alberta are:
Infographic showing various Computer Science Engineering job openings in Alberta as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution.
Deals Real Assets, Data Engineering & Digital Solutions,Senior Associate

Deals Real Assets, Data Engineering & Digital Solutions,Senior Associate

PwC

Calgary, AB • On-site

Full-time

Posted 2 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

21st of 58 rated business consultants


Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Capital Projects

Management Level

Senior Associate

Job Description & Summary

A career within Deals, Capital Projects and Infrastructure, part of our Real Assets group, will provide you with the opportunity to deliver innovative deal solutions to our clients, providing advice and support, from initiation through to completion. In short,we'rea part of helping some of the world's leading companies and governments across many industries originate, create, execute, andrealizevalue.
The Real Assets teamadvisesgovernments and businesses in the delivery of complex infrastructure and capital projects and programs. As part of our team, you'll leverage your technical expertise in data engineering and software development to build the digital tools, platforms, and data solutions that power our advisory capabilities, enabling clients to optimize capital programs, ensure project success, and navigate constrained budgets or challenging situations.

The Opportunity:

As a Deals, Real Assets Senior Associate - Data Engineering & Digital Solutions, unlock your potential and embrace the chance to drive meaningful outcomesthat'llelevate your career. Your role will include, butisn'tlimited to:

  • Data Engineering & Pipeline Development

  • Architect, design, and develop robust, end-to-end data pipelinesutilizingAzure Data Factory, Azure Databricks, and Azure Synapse Analytics

  • Design and implement data models within Azure Data Lake,leveragingMedallion Architecture and building complex business logic into scalable, efficient transformations

  • Develop processes to ingest data from a wide variety of sources, including relational databases (SQL, Oracle), APIs, flat files, and project management systems

  • Automate data workflows and implement CI/CD practices for data pipelines using Azure DevOps or GitHub Actions to ensure quality and rapid deployment

  • Monitor, troubleshoot, andoptimizedata solutions for performance, scalability, and cost-effectiveness

  • Proactivelyidentifyand resolve performance bottlenecks in data pipelines, data partitioning strategies, and cost-control measures across Azure data services

  • Lead the development, build, and maintenance of internal tools and applications using Python, including Generative AI modules, automation scripts, and data processing pipelines to enhance the team's advisory capabilities on capital projects

  • Design, develop, andmaintaincustom web-based dashboards and interactive reporting tools using HTML, CSS, JavaScript, and Python-based frameworks (e.g., Flask, Dash,Streamlit)

  • Integrate AI-driven solutions into project advisory workflows (e.g., document analysis, benchmarking, risk identification, schedule analytics)

  • Ensure data quality, integrity, and governance by implementing best practices, data validation checks, and robust documentation

  • Participatein reviewingand validatingproject schedules and budgets,forecasting ofproject performance, and performing project risk assessments,monitoringand control.

  • Assistin the preparation of proposals and development of opportunities for the CP&I practice

  • Work closely with project advisors, data analysts, and business stakeholders to understand their data requirements and deliver high-quality data solutions

  • Perform site visits and inspections as needed

  • May require work on site, including travel to remote locations

What You'll Bring:

  • Relevant years of experience in data engineering, software development, or a related technical role (internships, co-ops, and academic projects count)

  • Exposure to or interest in capital projects, engineering consulting, project management, or construction management environments is an asset

  • Ability to troubleshoot and problem-solve, with a willingness to work through ambiguous or unfamiliar technical challenges and an openness to learning new tools and adapting how you work

  • Proficiencyor working knowledge of Python with the ability to develop tools, create reusable scripts for data analysis, and build data processing pipelines

  • Familiarity with core Azure data services (e.g., Azure Data Factory, Azure Databricks

  • Understanding of or exposure to data pipeline development concepts, including data warehousing principles, and data lake architectures

  • Working knowledge of SQL with the ability to write queries to extract and transform data from relational databases

  • Experience with front-end web technologies (HTML, CSS, JavaScript) and Python-based dashboard frameworks

  • Interest in or exposure to building Generative AI modules (e.g.,leveragingAPIs such as OpenAI, Anthropic, etc.) and integrating AI-driven solutions into advisory workflows

  • Awareness of Azure security best practices

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related fieldis ideal

  • MBA orandinterest in obtaining a professional designation (e.g., PMP, P.Eng., etc.) would be an asset

  • Willingness to travel whenrequired

  • Experience with construction claims is a plus

This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.

The salary range for this position is $58,400 - $97,500. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Whyyou'lllove PwC

We'reinspiring and empowering our people to change the world. Powered by the latest technology,you'llbe a part of diverse teams helping public and private clients build trust and deliver sustained outcomes. This meaningful work, and our continuous development environment, will take your career to the next level. We reward your impact, and support yourwellbeing,through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life. Learn more about our Application Process and Total Rewards Package at:https://jobs-ca.pwc.com/ca/en/life-at-pwc

PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations,Metisand Inuit Peoples. We recognize the systemic racism,colonialismand oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Budgetary Management, Capital Management (CM), Capital Raising, Cash Flow Analysis, Communication, Contingency Planning, Contract Lifecycle Management, Contractor Management, Cost Estimate Preparation, Cost Management, Cost Reduction, Creativity, Embracing Change, Emotional Regulation, Empathy, Financial Management, Financial Modeling, Financial Risk Management, Inclusion, Intellectual Curiosity, Investment Management {+ 19 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

We're committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).Nous tenons a repondre a vos besoins tout au long du processus de demande d'emploi, d'entrevue et d'embauche. Si vous avez besoin de mesures d'adaptation pour etre parfaitement a l'aise, faites-le-nous savoir a l'etape de la demande d'emploi.L'utilisation de l'intelligence artificielle (IA) dans le domaine du recrutement en est a ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. A certains stades de notre processus de recrutement, nous comptons sur l'IA pour ameliorer votre experience. Par exemple, pendant l'examen du curriculum vit ou l'elaboration d'une liste de recommandations personnalisees, un agent conversationnel pourrait vous demander des precisions ou fixer avec vous un rendez-vous pour l'entrevue. L'IA nous aide a mieux lutter contre les prejuges, car l'evaluation des candidats se fait de facon juste et equitable, sans que les informations d'identification comme le nom ou le sexe soient connues. Elle nous permet egalement de mieux reperer les bons candidats pour un poste et d'evaluer le lien entre leurs competences, leur experience et leurs chances de reussir chez PwC Canada. Bien que l'IA facilite certaines etapes de notre processus de recrutement, les decisions finales d'embauche sont toujours prises par des personnes. Pour en savoir plus sur l'utilisation et la protection de vos donnees personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).

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