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Computer Engineer Jobs in Alberta (NOW HIRING)

The Design Engineer is accountable for the development and design of non-destructive excavation ... Responsibilities will include the preparation of CAD models, FEA simulations, manufacturing ...

Senior Deep Learning Engineer

Calgary, AB · On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Senior Deep Learning Engineer

Calgary, AB · On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Oversee the work of CAD Designers and EITs * Coordinate with HDR's multidisciplinary team including ... Professional Engineer (PE or P.Eng) license. * Hands-on experience with Highways and Roads CAD ...

Engineering Available vacancies: 1 About Avmax: Avmax is a diverse company offering every product ... Computer literacy with Microsoft Office and AutoCAD and SolidWorks / CATIA Duties ...

Providing technical directions to junior designers and CAD operators. About you * Bachelor's Degree in Electrical Engineering with registration as a Professional Engineer (P. Eng) in Canada. LEED AP ...

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$398.5K

How much do computer engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for computer engineer in Alberta is $91,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $100,000.00 per year, depending on experience, location, and employer.

What Is a Computer Engineer?

A computer engineer designs, researches, tests, and develops computer equipment and software such as circuit boards, chips, routers, and application programs. Computer engineers analyze complex equipment and systems to understand the best way to improve it. They create new types of information technology devices and use logic and reasoning to hone in on goals, test assumptions, and identify the strengths and weaknesses of alternative solutions to problems. Engineers often work in teams and have to be able to communicate with other types of engineers, including non-technical team members. Computer engineers make sure that components fit together properly and function according to the latest software developments.

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

To thrive as a Computer Engineer, you need a strong background in computer science, mathematics, and hardware/software design, typically supported by a bachelor’s degree in computer engineering or a related field. Familiarity with programming languages (such as C/C++ or Python), circuit design tools, and industry certifications like CompTIA or Cisco are highly valuable. Problem-solving, teamwork, and effective communication are essential soft skills that set top performers apart. These abilities ensure that computer engineers can design, implement, and optimize systems that meet technical requirements and business goals.

What are common challenges computer engineers face when working on cross-functional teams?

Computer engineers often collaborate with software developers, hardware designers, and project managers, which can present challenges in aligning technical requirements and communication styles. Ensuring that everyone has a clear understanding of system limitations and integration points is crucial, as miscommunication can lead to project delays or rework. Staying adaptable and proactively clarifying expectations helps computer engineers navigate these collaborative environments successfully.

What are computer engineers?

Computer engineers are professionals who design, develop, test, and maintain computer hardware and software systems. They work at the intersection of electrical engineering and computer science, focusing on how computer systems function and how they can be improved. Their roles can involve creating microprocessors, designing circuit boards, developing embedded systems, and optimizing software for hardware performance. Computer engineers play a crucial role in advancing technology across industries, from consumer electronics to aerospace and healthcare.

What is the difference between Computer Engineer vs Software Developer?

AspectComputer EngineerSoftware Developer
Required CredentialsBachelor's in Computer Engineering or related field; certifications like Cisco, CompTIABachelor's in Computer Science or Software Engineering; certifications like Microsoft, AWS
Work EnvironmentDesigning hardware, embedded systems, and software integration in labs or officesWriting, testing, and maintaining software applications in offices or remote setups
Employer & Industry UsageTech companies, manufacturing, telecommunications, embedded systemsIT firms, software companies, startups, enterprise software development

Computer Engineers focus on both hardware and software systems, often working on embedded systems and hardware integration. Software Developers primarily create and maintain software applications. While their roles overlap in programming, Computer Engineers have a broader scope including hardware design, whereas Software Developers specialize in software solutions.

What are the most commonly searched types of Computer Engineer jobs in Alberta? The most popular types of Computer Engineer jobs in Alberta are:
What are popular job titles related to Computer Engineer jobs in Alberta? For Computer Engineer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Computer Engineer jobs in Alberta look for? The top searched job categories for Computer Engineer jobs in Alberta are:
What are popular job titles related to Computer Engineer jobs in AB? For Computer Engineer jobs in AB, the most frequently searched job titles are:

Senior Consultant, Microsoft Fabric Data Engineer, Data & AI

KPMG

Calgary, AB • On-site

Full-time

Posted 21 days ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference.

Are you a talented leader with a proven track record for motivating teams and delivering exceptional client service?

Our team is looking for a Data Engineer with deep hands-on expertise in Microsoft Fabric and strong consulting capabilities. This role will support and lead data platform modernization initiatives, helping clients migrate from legacy and onpremise environments to scalable, secure, and unified analytics platforms leveraging Microsoft Fabric, OneLake, and Azure-native services.


What you will do
  • Partner with clients to understand business goals, gather requirements, and translate them into actionable technical designs and delivery plans using Microsoft Fabric.
  • Work with engagement teams to translate business and analytics requirements into endtoend data strategies, including ingestion, transformation, semantic modeling, and analytics enablement.
  • Contribute to solution architecture design for repeatable, scalable, and costoptimized analytics platforms using Microsoft Fabric components.
  • Lead delivery of modern data platforms leveraging Fabric Lakehouse, Data Warehouse, Data Engineering, and Real-Time Analytics workloads.
  • Design and implement data ingestion and transformation pipelines using Fabric Data Factory, notebooks, and Spark.
  • Implement medallion architecture patterns (Bronze, Silver, Gold) using Fabric Lakehouse and OneLake.
  • Develop scalable batch and streaming pipelines using Spark, Eventstreams, and real-time ingestion patterns.
  • Build and optimize semantic models for downstream analytics and reporting in Power BI.
  • Apply CI/CD and engineering best practices including version control, automated deployment, testing, and release management for Fabric workloads.
  • Establish and operationalize governance across Fabric using Microsoft Purview, role-based access control, and data lineage.
  • Support testing, performance tuning, and production releases across Fabric workloads.
  • Proactively contribute to creation of presentation materials and client-facing documentation related to data and analytics initiatives.
  • Provide technical leadership and mentorship to junior team members.

What you bring to the role
  • University degree in computer engineering, computer science, mathematics, data science, or related disciplines.
  • 4+ years of professional experience in Data Engineering, Analytics Engineering, Business Intelligence, or a related field.
  • 2+ years of hands-on experience with Microsoft Fabric or Azure Synapse / Azure Data Engineering services.
  • Strong proficiency in SQL and solid understanding of modern data modeling principles and data warehousing concepts.
  • Proficiency in Python (or similar languages) for data processing, automation, and analytics workflows.
  • Hands-on experience with Spark-based data processing and notebook-driven development.
  • Experience with Fabric Lakehouse, Data Warehouse (SQL Endpoint), OneLake, and semantic modeling.
  • Experience supporting data platform modernization and Azure-based migration initiatives.
  • Experience applying CI/CD practices to data and analytics solutions.
  • Strong understanding of data governance, security, and access control within Microsoft ecosystems.
  • Experience collaborating with cross-functional teams to solve complex data challenges.
  • Familiarity with Power BI and downstream analytics enablement.

Certifications (Preferred)

  • Microsoft Certified: Fabric Analytics Engineer Associate
  • Microsoft Certified: Azure Data Engineer Associate
  • Power BI Data Analyst certification
  • Other relevant Microsoft Azure or data engineering certifications

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $77,000 to $102,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Information   

The expected base salary range for this position is $73,000 to $100,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program. 

Providing you with the support you need to be at your best


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • University degree in computer engineering, computer science, mathematics, data science, or related disciplines.
  • 4+ years of professional experience in Data Engineering, Analytics Engineering, Business Intelligence, or a related field.
  • 2+ years of hands-on experience with Microsoft Fabric or Azure Synapse / Azure Data Engineering services.
  • Strong proficiency in SQL and solid understanding of modern data modeling principles and data warehousing concepts.
  • Proficiency in Python (or similar languages) for data processing, automation, and analytics workflows.
  • Hands-on experience with Spark-based data processing and notebook-driven development.
  • Experience with Fabric Lakehouse, Data Warehouse (SQL Endpoint), OneLake, and semantic modeling.
  • Experience supporting data platform modernization and Azure-based migration initiatives.
  • Experience applying CI/CD practices to data and analytics solutions.
  • Strong understanding of data governance, security, and access control within Microsoft ecosystems.
  • Experience collaborating with cross-functional teams to solve complex data challenges.
  • Familiarity with Power BI and downstream analytics enablement.

Certifications (Preferred)

  • Microsoft Certified: Fabric Analytics Engineer Associate
  • Microsoft Certified: Azure Data Engineer Associate
  • Power BI Data Analyst certification
  • Other relevant Microsoft Azure or data engineering certifications

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $77,000 to $102,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

KPMG BC Region Pay Range Information   

The expected base salary range for this position is $73,000 to $100,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program. 

Providing you with the support you need to be at your best

Education:UNAVAILABLEEmployment Type: FULL_TIME