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Computer Science New Grad Jobs in Calgary, AB (NOW HIRING)

ShyftLabs

Data Engineer

Calgary, AB · On-site

Identify opportunities to improve data reliability, automate workflows, and generate new insights ... Degree in Computer Science, Engineering, Mathematics, or related STEM discipline . * Strong ...

Viridien

Machine Learning Engineer

Calgary, AB · On-site

With our ingenuity, drive and deep curiosity we discover new insights, innovations, and solutions ... Qualifications Preferred Education Degree in Computer Science, Mathematics, Physics, Electrical ...

ALS

Junior Machine Learning Engineer

Calgary, AB

CA$80K - CA$95K/yr

Degree or diploma in Computer Science, Data Science, Software Engineering, Machine Learning ... At ALS, you'll be supported to develop new skills and reach your full potential. We invest in our ...

Charter (Canada)

IT Support Analyst

Calgary, AB · On-site

$37 - $45/hr

... new opportunities, and accelerate growth. Position Summary We are seeking a skilled and customer ... Diploma or degree in Information Technology, Computer Science, or a related field. * 3+ years of ...

Serve Robotics

Lead Machine Learning Engineer

Calgary, AB · Remote

$225K - $260K/yr

Develop tools and workflows that allow teams to run experiments, track results, and iterate quickly on new model ideas or training approaches. Qualifications * Master's or PhD in Computer Science ...

Amd

GPU Staff Software Development Engineer

Calgary, AB · Hybrid

Design and develop new AMD software technologies. * Participate in bringing new GPU products to ... Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or ...

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All JobsComputer Science New Grad JobsComputer Science New Grad Jobs in Calgary, AB

Computer Science New Grad information

See Calgary, AB salary details

$22K

$66.4K

$121K

How much do computer science new grad jobs pay per year?

As of Aug 10, 2026, the average yearly pay for computer science new grad in Calgary, AB is $66,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $85,000.00 per year, depending on experience, location, and employer.

What do computer science new grads do?

As a Computer Science New Grad, you will often start with foundational tasks such as fixing bugs, developing small features, writing tests, and assisting in code reviews. These assignments help you become familiar with the company's codebase, workflows, and development tools while providing opportunities to learn from experienced colleagues. You may also be involved in team meetings, participating in project planning sessions, and collaborating with other developers, product managers, or QA specialists. Over time, as you gain experience and confidence, you'll likely take on larger, more complex projects with greater responsibility. This structured approach allows new grads to build essential skills and smoothly transition into more advanced roles.

What skills and qualifications are needed to thrive as a computer science new grad?

To thrive as a Computer Science New Grad, you need a solid understanding of programming fundamentals, algorithms, and data structures, typically backed by a relevant degree such as a Bachelor’s in Computer Science or related field. Familiarity with industry-standard programming languages (such as Python, Java, or C++), version control systems like Git, and experience with development environments or cloud platforms is highly valued. Strong problem-solving abilities, eagerness to learn new technologies, and effective communication skills help new grads excel in collaborative and fast-paced team settings. These competencies are crucial for adapting to real-world projects, contributing effectively to technical teams, and building a successful early career trajectory.

What is a computer science new grad?

A Computer Science New Grad job is an entry-level position designed for recent graduates with a degree in computer science or a related field. These roles typically focus on software development, data analysis, cybersecurity, or IT support, depending on the company. Employers seek candidates with strong programming skills, problem-solving abilities, and knowledge of industry-standard tools and technologies. New grads often receive mentorship and training to help them transition into professional environments.

What are the most commonly searched types of Computer Science New Grad jobs in Calgary, AB? The most popular types of Computer Science New Grad jobs in Calgary, AB are:
What are popular job titles related to Computer Science New Grad jobs in Calgary, AB? For Computer Science New Grad jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Computer Science New Grad jobs in Calgary, AB look for? The top searched job categories for Computer Science New Grad jobs in Calgary, AB are:
Computer Science New Grad jobs near you
Infographic showing various Computer Science New Grad job openings in Calgary, AB as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, 33% Hybrid, and 17% Remote job distribution, with an average salary of $66,396 per year, or $31.9 per hour.

Data Engineer

ShyftLabs

Calgary, AB • On-site

Full-time

Medical, Dental, Vision

Re-posted 23 hours 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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