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Computer Science Jobs in Regina, SK (NOW HIRING)

Brandt

Data Architect

Regina, SK · On-site

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent enterprise experience). * Demonstrated ability to break down complex, ambiguous processes and explain ...

Viterra

Data Center Server Specialist

Regina, SK · On-site

Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Technology, or a related field. * Typically 10+ years of progressive IT infrastructure experience, including 7-8+ ...

New

Brandt

IT Project Manager

Regina, SK · On-site

Preference will be given to candidates with a post-secondary degree or diploma in computer science of project management, accompanied by project management experience * Preference will be given to ...

New

Alquemy

Senior Business Analyst

Regina, SK · Hybrid

Bachelor's degree in Computer Science, Commerce, Business Administration, or a related discipline. Tenure: 10+ years of progressive experience operating as a Business Analyst within a large, matrixed ...

ALS

Mining Process Engineer

Regina, SK · Hybrid

CA$115K - CA$135K/yr

Degree in Engineering or Computer Science (Electrical, Mechatronics, or related field); * 5+ years experience designing, testing, and commissioning industrial control systems; Physical Demands:

Farm Credit Canada

Agile Coach

Regina, SK

A degree in business administration, computer science, education, social science or psychology * Bilingualism (English and French) * Supplemental training on Agile delivery or coaching, and advanced ...

PeopleFind

Director of IT Project Management

Regina, SK · On-site

$135 - $165/hr

Post‑secondary education in Computer Science, Business Administration, or related field considered an asset * Experience managing projects involving ERP, CRM, cybersecurity, custom development, and ...

ISM

Manager, IT Service Management

Regina, SK

Degree in Information Technology, Computer Science, Business, or an equivalent combination of education and experience. * 10+ years of progressive experience in Information Technology. * 5+ years of ...

New

SaskPower

Specialist, Nuclear Security

Regina, SK · On-site

Degree in related field, Computer Science or other related equivalent AND/OR; Related professional designation(s) and/or certification(s) AND/OR; Five (5) years of related information security ...

New

SaskPower

Specialist, Nuclear Security

Regina, SK · On-site

... Computer Science or other related equivalent AND/OR; • Related professional designation(s) and/or certification(s) AND/OR; • Five (5) years of related information security experience, nuclear ...

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All JobsComputer Science JobsComputer Science Jobs in Regina, SK

Computer Science information

See Regina, SK salary details

$20.2K

$68.1K

$142.2K

How much do computer science jobs pay per year?

As of Jul 15, 2026, the average yearly pay for computer science in Regina, SK is $68,108.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,850.00 and $94,793.00 per year, depending on experience, location, and employer.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What Are Computer Science Jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

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

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.
More about Computer Science jobs
What are the most commonly searched types of Computer Science jobs in Regina, SK? The most popular types of Computer Science jobs in Regina, SK are:
What job categories do people searching Computer Science jobs in Regina, SK look for? The top searched job categories for Computer Science jobs in Regina, SK are:
What cities near Regina, SK are hiring for Computer Science jobs? Cities near Regina, SK with the most Computer Science job openings:
Computer Science jobs near you
Infographic showing various Computer Science job openings in Regina, SK as of July 2026, with employment types broken down into 89% Full Time, and 11% Temporary. Highlights an 68% In-person, 16% Hybrid, and 16% Remote job distribution, with an average salary of $68,108 per year, or $32.7 per hour.
Data Architect

Data Architect

Brandt

Regina, SK • On-site

Full-time

Re-posted 4 days ago

Job description

 Brandt is seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have a strong background in designing, implementing, and optimizing data solutions using PowerBI, Azure, and AI technologies. As a Data Engineer, you will play a crucial role in developing and maintaining efficient data pipelines, ensuring data accuracy, and contributing to business intelligence initiatives.

Duties and Responsibilities 

Data Architecture & Strategy

  • Data Solution Design: Lead the architectural design, data modeling, and implementation of highly scalable data processing systems within the Azure Data ecosystem.
  • Strategic Advisement: Partner with senior management and internal stakeholders to define data strategies, establish benchmarks, and translate complex business requirements into robust technical specifications.
  • Enterprise Capability Advancement: Drive the maturity of our enterprise data stack, defining best practices for data organization, governance, and architecture.

 Data Engineering & Optimization

  • Advanced SQL & Performance Tuning: Act as the team's primary SQL authority. Proactively identify, troubleshoot, and optimize inefficient queries, fine-tune execution plans, and ensure optimal database performance.
  • ETL/ELT Pipeline Development: Architect and maintain robust, scalable data pipelines to extract, transform, and load data from disparate sources into Azure Data Factory and Azure Data Lake Storage.
  • Workflow Streamlining: Continuously monitor and optimize data workflows to reduce processing times, minimize compute costs, and improve overall system efficiency.

 Business Intelligence & Security

  • Data Security & Governance: Implement strict data security measures, including encryption, robust access controls, and data masking to safeguard sensitive enterprise information.
  • PowerBI & Analytics Integration: Architect the data models that feed PowerBI, enabling the creation of interactive, high-performance dashboards that provide actionable insights to stakeholders.

#LI-ONSITE 


Required Skills
  • Deep SQL Mastery: Expert-level proficiency in SQL (T-SQL preferred). Must have hands-on experience with query optimization, execution plan analysis, indexing strategies, complex joins, window functions, and CTEs.
  • Data Modeling: Strong background in relational and dimensional data modeling (Kimball/Inmon methodologies), data warehousing, and data dependencies across enterprise systems.
  • Azure Ecosystem: Deep expertise in Azure Data Factory, Azure SQL Database, and Azure Data Lake Storage.
  • Programming & BI: Highly proficient in Python and PowerBI (including DAX and Power Query optimization).
  • Emerging Tech: Familiarity with integrating machine learning models and AI tools into existing data workflows is a strong asset.

Required Experience
  • 5–10 years of proven experience in Data Architecture, with a heavy emphasis on Microsoft Azure technologies.
  • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent enterprise experience).
  • Demonstrated ability to break down complex, ambiguous processes and explain highly technical concepts to non-technical senior leadership.

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