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Senior Data Engineer Jobs in Saskatchewan (NOW HIRING)

ALS

Junior Machine Learning Engineer

Saskatoon, SK · On-site

CA$80K - CA$95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Align Technology, Inc.

... senior engineers. * Participate in endtoend software development activities, including ... Solid understanding of objectoriented programming, data structures, and algorithms. * Development ...

Vendasta

Forward Deployed Engineer

Saskatoon, SK · On-site

Your Impact As a Senior Forward Deployed Engineer, you will: * Work embedded with a customer ... Bachelor's degree in Computer Science, Software Engineering, Data Science or a related technical ...

Vendasta

Senior Product Manager

Saskatoon, SK

Maintain awareness of relevant financial, payment, tax, and data-security obligations * Drive ... Bachelor's degree preferred in Computer Science, Business, Engineering, or a related field ...

Hatch

Electrical Engineer - Hydropower

Saskatoon, SK · Hybrid

CA$86K - CA$135K/yr

We are seeking an experienced and entrepreneurial Senior Electrical Engineer to join our Niagara ... Check vendor drawings and data for compliance with specifications * Develop conceptual designs ...

Hatch

Electrical Engineer - Hydropower

Saskatoon, SK · Hybrid

CA$86K - CA$135K/yr

We are seeking an experienced and entrepreneurial Senior Electrical Engineer to join our Niagara ... Check vendor drawings and data for compliance with specifications * Develop conceptual designs ...

Bell Canada

Director, MEP & Commissioning - Site

Regina, SK · Hybrid

  • Medical

  • Dental

  • Vision

This ambitious portfolio features seven large-scale, high-density data centers, anchored by a 500 ... Ability to lead multidisciplinary technical teams and influence senior engineering, contractor, and ...

Viterra

Data Center Server Specialist

Regina, SK · On-site

  • Medical

  • Retirement

  • PTO

... Engineering, Information Technology, or a related field. * Typically 10+ years of progressive IT infrastructure experience, including 7-8+ years in senior server roles within large-scale data centers.

Vendasta

Senior Product Manager

Saskatoon, SK · On-site

Maintain awareness of relevant financial, payment, tax, and data-security obligations * Drive ... Bachelor's degree preferred in Computer Science, Business, Engineering, or a related field ...

Targeted Talent

Senior SQL Developer

Saskatoon, SK · Remote

$95K - $110K/yr

  • Medical

  • Dental

We are looking for an experienced SQL Developer for our client. This is a permanent position ... You Have: * 7+ years experience working with MS - SQL data development * Strong experience with ...

Targeted Talent

Senior SQL Developer

Saskatoon, SK · Remote

$95K - $110K/yr

  • Medical

  • Dental

We are looking for an experienced SQL Developer for our client. This is a permanent position ... You Have: * 7+ years experience working with MS - SQL data development * Strong experience with ...

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Showing results 41-60

All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Saskatchewan

Senior Data Engineer information

See Saskatchewan salary details

$77K

$137.9K

$187K

How much do senior data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for senior data engineer in Saskatchewan is $137,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $156,000.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What are popular job titles related to Senior Data Engineer jobs in Saskatchewan?

For Senior Data Engineer jobs in Saskatchewan, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer jobs in Saskatchewan look for?

The top searched job categories for Senior Data Engineer jobs in Saskatchewan are:

What cities in Saskatchewan are hiring for Senior Data Engineer jobs?

Cities in Saskatchewan with the most Senior Data Engineer job openings:

What are popular job titles related to Senior Data Engineer jobs in SK?

For Senior Data Engineer jobs in SK, the most frequently searched job titles are:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Saskatchewan as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $137,866 per year, or $66.3 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 10 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.

Apply