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Best Paying Computer Science Jobs in Alberta (NOW HIRING)

ShyftLabs

Data Engineer

Calgary, AB · On-site

Implement BigQuery best practices , including partitioning, clustering, query optimization, and ... Degree in Computer Science, Engineering, Mathematics, or related STEM discipline . * Strong ...

Ledcor Group

System Support Analyst

Edmonton, AB · On-site

... industry best practices and standards (ITIL based) * Provides technical advice and guidance to ... degree in Computer Science or Computer Engineering is an asset * Proficiency with cloud ...

NES Fircroft

Digital Project Manager

Calgary, AB · On-site

... computer science, Business, or a related fie * ld5-10 years of project management experien ... best practic * esDemonstrated ability to manage cybersecurity and/or infrastructure projec ...

New

Seequent

Senior Software Developer

Calgary, AB

Design, code, and refactor complex programs and integration services, advocating for the best tools ... Proven Expertise: A Bachelor's degree in Computer Science or Engineering with 7+ years of ...

Johnson Controls

Quality Systems Developer

Edmonton, AB · On-site

Bachelor's degree in Computer Science,Computer or SoftwareEngineering,ora related field. * 5 years ... Knowledge of mobile app design principles and best practicesconsidered an asset. * Solid problem ...

Seequent

Senior Software Developer

Calgary, AB · On-site

You will be instrumental in defining the architecture, advocating for best practices, and ensuring ... Essential Knowledge, Skills, and Experience Bachelor's degree in computer science, engineering, or ...

GeoSoftware

Software Architect

Calgary, AB

Ensure code quality and maintainability through best practices. Collaborate with development teams ... A master's degree (MSc) in Computer Science, Software Engineering, or in a scientific field with ...

GeoSoftware

Software Architect

Calgary, AB · On-site

Ensure code quality and maintainability through best practices. Collaborate with development teams ... A masters degree (MSc) in Computer Science, Software Engineering, or in a scientific field with ...

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Best Paying Computer Science information

What are the best paying jobs in computer science?

The best paying jobs in computer science typically include roles such as software architect, machine learning engineer, data scientist, cloud solutions architect, and cybersecurity engineer. These positions often require advanced skills in programming, systems design, and data analysis, as well as experience with the latest technologies. Salaries can vary depending on location, level of experience, and the specific industry, but these roles consistently rank among the highest paying in the tech sector. Many of these positions also offer additional benefits and opportunities for career advancement.

Can you make 300k a year in tech?

In computer science roles such as software engineering, data science, and machine learning, it is possible to earn $300,000 or more annually, especially with seniority, specialized skills, or working at large tech companies. High salaries often require advanced expertise, experience, and sometimes additional certifications or advanced degrees.

What is the difference between Best Paying Computer Science vs Software Engineer?

AspectBest Paying Computer ScienceSoftware Engineer
Required CredentialsBachelor's or Master's in Computer Science, certifications like AWS, CiscoBachelor's in Computer Science or related field, coding certifications
Work EnvironmentResearch labs, tech companies, academiaTech firms, startups, corporate IT departments
Employer & Industry UsageUniversities, research institutions, high-tech companiesSoftware development firms, tech giants, consulting
Common Search & Comparison IntentHigh-paying roles in CSSoftware development salaries & roles

Best Paying Computer Science roles often include specialized positions like data scientist or AI researcher, which may require advanced degrees and certifications. Software Engineers focus on designing, coding, and maintaining software applications. While both roles require a computer science background, Best Paying Computer Science positions tend to offer higher salaries due to specialization and industry demand, especially in research or executive roles.

What jobs pay $500,000 a year in the US?

In the field of computer science, roles such as senior software engineers, machine learning engineers, and technical executives like CTOs can earn $500,000 or more annually, especially with experience, stock options, and bonuses. High-paying positions often require advanced skills, leadership responsibilities, and working in high-growth or competitive industries like finance, tech, or startups.

What is the highest paying job for computer science?

The highest paying jobs in computer science are often executive roles such as Chief Technology Officer (CTO) or specialized positions like Machine Learning Engineer or Data Scientist, especially in industries like finance and technology. These roles typically require advanced skills, experience, and sometimes certifications, and can offer salaries exceeding $150,000 annually.

What are some common challenges faced by professionals in high-paying computer science roles, and how can candidates prepare for them?

Professionals in high-paying computer science roles often face challenges such as keeping up with rapidly evolving technologies, managing complex projects, and collaborating across multidisciplinary teams. Candidates can prepare by regularly updating their technical skills, gaining experience with project management tools, and developing strong communication abilities. Additionally, being adaptable and proactive in learning new programming languages and frameworks can help professionals stay competitive and successful in these demanding positions.

What are the key skills and qualifications needed to thrive in one of the best paying computer science roles, such as a Software Engineer or Data Scientist, and why are they important?

To excel in top-paying computer science roles, you typically need strong programming skills, expertise in algorithms and data structures, and a relevant computer science degree. Familiarity with technical tools like Python, Java, cloud platforms, and frameworks, along with certifications in areas like AWS or machine learning, is often required. Outstanding problem-solving abilities, teamwork, and effective communication are soft skills that help professionals stand out. These skills and qualifications are crucial for developing innovative solutions, collaborating on complex projects, and driving business success in a technology-driven environment.

Can I make 200K with a computer science degree?

Computer science professionals can earn $200,000 or more annually, especially in roles such as software engineers, data scientists, or technical leads in high-demand industries or tech hubs. Achieving this salary often requires extensive experience, advanced skills in programming, algorithms, or cloud computing, and sometimes certifications or advanced degrees.
What are popular job titles related to Best Paying Computer Science jobs in Alberta? For Best Paying Computer Science jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Best Paying Computer Science jobs in Alberta look for? The top searched job categories for Best Paying Computer Science jobs in Alberta are:
Best Paying Computer Science jobs near you

Data Engineer

ShyftLabs

Calgary, AB • On-site

Full-time

Medical, Dental, Vision

Posted 16 days ago

Job description

Position Overview

We are looking for an experienced and versatile Data Engineer to join our dynamic and fast-growing team. If you are passionate about data, solving complex problems, and working directly with enterprise stakeholders to translate business needs into scalable technical solutions, this role could be the perfect fit.

ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses across various industries by focusing on creating value through innovation.

In addition to strong technical expertise, we are seeking someone with strong business awareness and the ability to lead client and stakeholder communication. The ideal candidate will be comfortable collaborating with enterprise-level clients, translating complex technical concepts into business outcomes, and ensuring alignment between engineering execution and strategic objectives.

Job Responsibilities

  • Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using cloud services such as GCP Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer.

  • Architect and implement robust data infrastructure capable of handling high-volume data ingestion and processing.

  • Develop and manage our central data warehouse in Google BigQuery.

  • Design and implement data models, schemas, and table structures optimized for performance, scalability, and long-term maintainability.

  • Write clean, efficient, and maintainable SQL and Python code to transform raw data into curated, analysis-ready datasets.

  • Build reliable transformation workflows that support analytics, reporting, and data science initiatives.

  • Monitor, troubleshoot, and optimize data infrastructure to ensure high performance, reliability, and cost efficiency.

  • Implement BigQuery best practices, including partitioning, clustering, query optimization, and materialized views.

  • Build and maintain curated data models that serve as the "source of truth" for business intelligence and reporting.

  • Ensure data is optimized and readily accessible for BI tools such as Looker and other analytics platforms.

  • Implement automated data quality checks, validation rules, and monitoring frameworks to ensure the integrity and reliability of data pipelines and warehouse systems.

  • Establish processes for data governance, observability, and lineage tracking.

  • Work closely with software engineers, data analysts, and data scientists to understand their data requirements and provide the necessary infrastructure and data products.

  • Lead and support client and stakeholder communication, working with enterprise clients to translate business needs into scalable data solutions.

  • Partner with product teams and leadership to ensure that technical data solutions align with business strategy and client expectations.

  • Take ownership of data platforms and architecture decisions, helping shape the future direction of our analytics and data infrastructure.

  • Identify opportunities to improve data reliability, automate workflows, and generate new insights through data.

  • Contribute to a collaborative, high-performing engineering culture with strong communication and teamwork.

Basic Qualifications

  • 5+ years of hands-on experience in data engineering, data integration, or data platform development.

  • Degree in Computer Science, Engineering, Mathematics, or related STEM discipline.

  • Strong programming and query skills in SQL and Python.

  • Experience working with distributed version control systems such as Git in an Agile/Scrum environment.

  • Experience designing and orchestrating ETL pipelines, particularly with Databricks.

  • Experience working within cloud environments (GCP, AWS, or Azure).

  • Experience with database systems such as MongoDB and Elasticsearch.

  • Strong understanding of data warehousing and dimensional modeling methodologies.

  • Hands-on experience with Airflow and Hadoop.

  • Experience using Docker for containerized workflows and reproducible environments.

  • Ability to identify opportunities to improve data quality, reliability, and automation.

  • Strong business awareness and communication skills, with the ability to collaborate with both technical teams and business stakeholders.

  • Experience within the retail industry is a plus.

Preferred Qualifications

  • Master's degree in Computer Science, Engineering, or related discipline.

  • Experience working with enterprise-scale data platforms and Fortune 500 clients.

  • Familiarity with Druid and its Python API, including Kafka integrations.

  • Strong experience using Apache Spark for large-scale data processing.

  • Experience designing real-time streaming data architectures.

  • Experience working with AI-driven platforms, data infrastructure supporting AI/ML systems, or agentic AI workflows

Why You'll Love Working at ShyftLabs
 
At ShyftLabs, your work matters. We're a growing data product company making a big impact with Fortune 500 clients and as we scale, you'll have the chance to shape solutions, influence strategy, and grow your career alongside us.
 
Here's what you can expect when you join our team:
-Work Arrangement: This role is currently fully remote, providing flexibility to work from home. As the team and organization continue to grow, there may be an opportunity for the role to transition into a hybrid work model in the future, with occasional in-office collaboration.
-Comprehensive Benefits: We cover 100% of health, dental, and vision insurance premiums for you and your dependents which means no out-of-pocket costs. Eligibility starts from day one itself.
-Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.
 
Inclusion at ShyftLabs
 
We're building something big, and we want you on the journey with us. If you're ready to use data and innovation to make an impact, apply today and let's grow together.
 
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we'll be happy to support you.
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