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Entry Level Data Software Engineer Jobs in Calgary, AB

We are SLR Consulting (Canada), an 800+ team of advisory, environmental/engineering, and regulatory ... Ensure the proper functioning of data management software (EarthSoft EQuIS) * Establish standards ...

Our SaaS subscription software is used by 85k+ active customers in over 100 countries. The QA ... Validate system integrations and data flows (e.g., APIs, CRM, billing, or external services) where ...

Strong skills in statistics and programming, as well as knowledge of data science and software engineering. As an integral member of our team, we highly encourage the contribution of ideas and drive ...

Collaborate with data scientists and software engineers to integrate models into production systems * Monitor model performance and implement strategies for model retraining and optimization

Senior Java Developer

Calgary, AB · On-site +1

$91K - $120K/yr

Apply software engineering fundamentals such as data structures, testing and debugging to ensure robust and maintainable code. * Work with React.js and Google App Engine with Python 2.7 to support ...

Senior Java Developer

Calgary, AB · On-site +1

$91K - $120K/yr

Apply software engineering fundamentals such as data structures, testing and debugging to ensure robust and maintainable code. * Work with React.js and Google App Engine with Python 2.7 to support ...

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Entry Level Data Software Engineer information

See Calgary, AB salary details

$20K

$87.2K

$185K

How much do entry level data software engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level data software engineer in Calgary, AB is $87,200.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,500.00 and $133,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Data Software Engineer, and why are they important?

To thrive as an Entry Level Data Software Engineer, you need foundational knowledge in programming (such as Python, Java, or SQL), data structures, and algorithms, typically supported by a relevant degree or coursework in computer science or related fields. Familiarity with tools like Git, databases (e.g., MySQL, PostgreSQL), and data processing frameworks (such as Hadoop or Spark) is often required. Problem-solving abilities, attention to detail, and strong teamwork and communication skills help you adapt and collaborate effectively. These skills and qualities are essential for building reliable data solutions and contributing to team-driven engineering projects.

What are some common challenges faced by entry level data software engineers, and how can they overcome them?

Entry level data software engineers often encounter challenges such as understanding complex data pipelines, adapting to new technologies quickly, and collaborating with cross-functional teams. To overcome these challenges, it's helpful to ask questions regularly, seek mentorship from more experienced colleagues, and invest time in learning the company's tech stack and best practices. Developing strong communication skills will also make it easier to work with data scientists, analysts, and other engineers, ensuring smoother collaboration and faster professional growth.

What does an Entry Level Data Software Engineer do?

An Entry Level Data Software Engineer designs, develops, and maintains software systems that handle and process data. They often work with databases, data pipelines, and tools for collecting, storing, and analyzing large datasets. Their responsibilities typically include writing code, debugging, testing applications, and collaborating with other engineers or data scientists. This role is ideal for those new to the field, as it allows them to build foundational skills in software engineering and data management.

What is the difference between Entry Level Data Software Engineer vs Data Analyst?

AspectEntry Level Data Software EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; programming skills in Python, Java, or SQLBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentDeveloping data pipelines, software tools, and applications; collaborating with data engineers and software developersAnalyzing data sets, creating reports, and visualizations; working closely with business teams
Employer & Industry UsageTech companies, startups, and enterprises focusing on data-driven software solutionsFinance, marketing, healthcare, and consulting firms focusing on data insights

While both roles involve working with data, Entry Level Data Software Engineers focus on building data systems and software, requiring programming skills. Data Analysts primarily interpret data to provide insights, emphasizing analysis and visualization. The roles often overlap but serve different functions within data teams.

What job categories do people searching Entry Level Data Software Engineer jobs in Calgary, AB look for? The top searched job categories for Entry Level Data Software Engineer jobs in Calgary, AB are:
Senior Staff AI Framework Backend Engineer

Senior Staff AI Framework Backend Engineer

Amd

Calgary, AB • On-site

Full-time

Posted 26 days ago


Advanced Micro Devices rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

53rd of 137 rated electronics manufacturers


Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  

Responsibilities

SMTS - AI FRAMEWORKS BACKEND INTEGRATION ENGINEER 

THE ROLE: 

AMD is seeking an experienced AI Backend Integration Engineer to drive the performance and scalability of our deep learning platforms. This role involves working at the intersection of high-performance computing and machine learning frameworks, ensuring optimized execution of AI models across various hardware architectures. The ideal candidate will have deep expertise in systems programming (C++/Python), a solid understanding of parallel computing principles, hands-on experience working with deep learning libraries like MIOpen, hipDNN, or equivalent libraries such as cuDNN, and experience working in the backend integration of a framework like PyTorch, JAX, or ONNX Runtime.

THE PERSON: 

The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD.  Comfortable navigating large, multi-team codebases for dealing with the ambiguity where the code boundaries meet.

KEY RESPONSIBILITIES: 

  • Design, develop, and implement the integration of low-level backend libraries (e.g., cuDNN, MIOpen, hipDNN) into high-level AI frameworks like PyTorch and TensorFlow.
  • Identify and resolve complex issues related to model execution, data flow, and performance bottlenecks within the integrated systems.
  • Implement best software engineering practices, including code reviews, comprehensive testing (unit and integration), and detailed technical documentation for all integrations and optimizations.
  • Work closely with data scientists, ML engineers, and other software development teams to translate research ideas and model requirements into robust, production-ready systems.
  • Stay abreast of the latest advancements in AI/ML research, GPU technology, and related software ecosystems to propose and implement cutting-edge solutions.
  • Leverage AIassisted development tools to accelerate analysis, integration validation, and documentation, while ensuring correctness and traceability. 

PREFERRED EXPERIENCE: 

  • Expertise in C++ and Python is essential for performance-critical applications and general AI development.
  • Strong hands-on experience with major deep learning frameworks such as PyTorch and TensorFlow including their backend integrations.
  • Strong understanding of system performance, parallel computing principles, and memory management.
  • Experience with Linux and Windows operating system development 
  • Familiarity with modern software development tools and practices, including version control (Git) and CI/CD pipelines.
  • Applied experience using AIassisted coding tools in professional software engineering workflows, including code generation, refactoring, test creation, documentation, and design exploration.   

ACADEMIC CREDENTIALS: 

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent 

#LI-DR1

Qualifications

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD's "Responsible AI Policy" is available here.

 

This posting is for an existing vacancy.

Employment Type: FULL_TIME