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Junior Database Developer Jobs in Saskatchewan (NOW HIRING)

As a Junior Machine Learning Engineer on the Global AI Team, you will support the design ... Familiarity with vector databases, embeddings, retrieval-augmented generation (RAG), or semantic ...

Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL and large data sets * Hands-on experience coding in Python is required * Experience ...

Experience mentoring and guiding Junior Data Engineers in previous roles * Strong Experience working with SQL and large data sets * Hands-on experience coding in Python is required * Experience ...

Additionally, this role involves mentoring and training junior sales staff and providing technical ... Manage and maintain CRM database. Coordinate and schedule sales meetings and presentations. Handle ...

Junior Database Developer information

See Saskatchewan salary details

$40.5K

$60.8K

$90K

How much do junior database developer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for junior database developer in Saskatchewan is $60,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $69,000.00 per year, depending on experience, location, and employer.

What is the difference between Junior Database Developer vs Database Administrator?

AspectJunior Database DeveloperDatabase Administrator
Required CredentialsTypically a bachelor's degree in computer science or related field; some certifications like Microsoft SQL Server or Oracle are commonSimilar educational background; certifications like Oracle DBA, Microsoft Certified: Azure Database Administrator are often preferred
Work EnvironmentMostly involved in coding, designing, and developing databases; works closely with developers and analystsFocuses on maintaining, backing up, and securing databases; interacts with IT teams and end-users
Employer & Industry UsageUsed in software development companies, tech firms, and organizations with database needsCommon in large enterprises, financial institutions, and healthcare organizations requiring database management

While both roles require knowledge of database systems and similar certifications, Junior Database Developers primarily focus on creating and optimizing databases, whereas Database Administrators handle ongoing maintenance, security, and performance management.

What is a junior database developer?

Junior Database Developers are entry-level professionals who assist in designing, developing, and maintaining databases for organizations. They work under the supervision of senior database developers or administrators, helping with tasks such as writing SQL queries, troubleshooting data issues, and supporting database updates. Their role is crucial for ensuring data integrity, optimizing performance, and supporting the data needs of various departments. Junior Database Developers often collaborate with software developers and IT teams to implement database solutions. This position is typically suited for recent graduates or individuals with some programming and database experience.

What are the typical challenges a junior database developer might face when starting out?

As a Junior Database Developer, you may find it challenging to work with unfamiliar database management systems, optimize queries for performance, and understand complex data models. Adapting to a team environment, where you collaborate closely with senior developers, data analysts, and software engineers, is also common. Additionally, learning best practices for data security and consistency can be demanding, but overcoming these challenges provides valuable experience and growth opportunities.

What skills and qualifications are needed to thrive as a junior database developer?

To thrive as a Junior Database Developer, you need a solid understanding of database concepts, SQL programming, and a relevant degree in computer science or a related field. Familiarity with database management systems like MySQL, SQL Server, or Oracle, as well as version control tools such as Git, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you troubleshoot issues and collaborate with team members. These skills and qualifications are crucial for building reliable databases, ensuring data integrity, and supporting organizational data needs.
Infographic showing various Junior Database Developer job openings in Saskatchewan as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $60,821 per year, or $29.2 per hour.

Junior Machine Learning Engineer

ALS

Saskatoon, SK • On-site

CA$80K - CA$95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

At ALS, we encourage you to dream big.

When you join us, you'll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future.

About the Position:

As a Junior Machine Learning Engineer on the Global AI Team, you will support the design, development, deployment, and maintenance of AI and machine learning solutions. You will work with data scientists, engineers, product teams, and business stakeholders to help transform ideas into scalable AI-enabled products and workflows. This role is well suited for someone who is technically curious, eager to learn, and motivated to apply modern AI techniques, including LLMs, Agentic AI, deep learning, and traditional machine learning models, to real-world business and scientific problems.

Specific Responsibilities:

  • Support the development and deployment of machine learning and AI models across ALS business functions.

  • Assist in building AI solutions using Large Language Models (LLMs).

  • Contribute to the design and implementation of Agentic AI systems, including tool-using agents, orchestration workflows, and task automation.

  • Develop, train, test, and evaluate conventional machine learning and deep learning models.

  • Work with structured and unstructured data to support model development, feature engineering, and data preparation.

  • Collaborate with senior AI engineers and data scientists to improve model performance, reliability, scalability, and maintainability.

  • Support cloud-based AI and ML development using platforms such as Azure, Google Cloud Platform (GCP), and AWS, with a preference for Azure and GCP.

  • Assist in building model pipelines, experimentation workflows, and deployment processes.

  • Participate in code reviews, technical documentation, testing, and quality assurance activities.

  • Stay current with emerging trends in machine learning, generative AI, LLMs, deep learning, and cloud AI services.

  • Follow ALS standards for security, privacy, data governance, and responsible AI practices.

Required Knowledge, Skills & Abilities:

  • Hands-on experience with Google Cloud Platform (GCP).

  • Experience using cloud AI and machine learning services, model hosting, or MLOps tools.

  • Familiarity with vector databases, embeddings, retrieval-augmented generation (RAG), or semantic search.

  • Experience with APIs, microservices, or integrating machine learning models into applications.

  • Knowledge of software engineering practices such as version control, testing, CI/CD, and documentation.

  • Exposure to containerization tools such as Docker.

  • Experience working with enterprise data environments or cross-functional technical teams.

Required Qualifications:

  • Degree or diploma in Computer Science, Data Science, Software Engineering, Machine Learning, Artificial Intelligence, or a related technical discipline.

  • Practical experience with machine learning, including model training, evaluation, and deployment concepts.

  • Experience with deep learning frameworks such as PyTorch, TensorFlow, or similar tools.

  • Exposure to Large Language Models (LLMs).

  • Familiarity with Agentic AI concepts, including autonomous agents, tool calling, workflow orchestration, and AI assistants.

  • Programming experience in Python.

  • Familiarity with common machine learning and data science libraries such as scikit-learn, pandas, NumPy, or similar.

  • Experience working with at least one major cloud platform, including Azure, Google Cloud Platform (GCP), or AWS.

  • Ability to work effectively in a collaborative, hybrid team environment.

  • Strong analytical thinking, problem-solving skills, and a willingness to learn.

Physical Demands:

  • Ability to sit at a desk and perform general office work for extended periods, with periodic computer/screen use.

Our benefits includes:

  • An estimated annual salary of $80,000 - $95,000 CAD at the time of posting. Individual compensation is determined by factors such as job-related skills, relevant experience, education and/or training.

  • Structured wage increases.

  • Comprehensive benefit package specific to your work status (including extended medical, dental, and vision coverage, access to company perks, life and disability insurance, retirement plan with company match, employee assistance and wellness programs).

  • Additional vacation days for years of service.

  • Business support for education or training after 9 months with the company.

  • Learning & development opportunities (unlimited access to e-learnings and more).

Working at ALS

The ALS team is a diverse and dedicated community united by our passion to make a difference in the world.

Our values are important to us, and shape how we work, how we treat each other and how we recognise excellence.

At ALS, you'll be supported to develop new skills and reach your full potential. We invest in our people with programs and opportunities that help you build a diverse career with us.

We want everyone to have a safe, flexible and rewarding career that makes a positive impact on our people, the planet and our communities.

Everyone Matters

ALS is proud to be an equal opportunity employer and is committed to fostering an inclusive work environment where the strengths and perspectives of each employee are both recognised and valued.

Qualified candidates will be considered without regard to race, colour, religion, national origin, military or veteran status, gender, age, disabilities, sexual orientation, gender identity, pregnancy and pregnancy-related conditions, genetic information and any other characteristics protected by the law. We invite resumes from all interested parties, including women, First Nations, Metis and Inuit persons, members of minority groups, and persons living with disabilities.

ALS also welcomes applications from people with all levels of ability. Reasonable adjustments to support candidates throughout the recruitment process are available upon request.

Eligibility
To be eligible to work at ALS you must be a Citizen or Permanent Resident of the country you are applying for, or either hold or be able to obtain, a valid working visa.

How to apply
Please apply on-line and provide a resume & cover letter that best demonstrate your motivation and ability to meet the requirements of this role.