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Data Engineering Jobs in Saskatchewan (NOW HIRING)

Align Technology, Inc.

Proficiency in SQL, Python, R, or other programming languages commonly used in data analysis, with exposure to data modeling. Exposure to data modeling, statistical methods, and machine learning ...

Vendasta

Engineering Manager

Saskatoon, SK · On-site

Engineering Manager Location: Office-first At Vendasta, were leading the AI revolution from right ... By combining a business's unique data with AI and automation, Vendasta simplifies marketing, sales ...

Vendasta

Engineering Manager

Saskatoon, SK · On-site

Engineering Manager Location: Office-first At Vendasta, we're leading the AI revolution from right ... By combining a business's unique data with AI and automation, Vendasta simplifies marketing, sales ...

BDO Canada

Senior Data Scientist, ASR

Regina, SK

Proficiency in programming languages such as Python, R, or Scala. Experience with SQL and NoSQL ... Passion for translating complex data into actionable insights. Ideal Candidate Will Have: * A ...

Rubrik Job Board

This means your data is ready so you can recover the data you need, and avoid paying a ransom ... You will partner with engineering, design, and sales, working directly with customers to validate ...

Morson Talent

Mechanical Engineer

Saskatoon, SK

$40 - $90/hr

Perform mechanical engineering design work on various projects executed within Cameco and act as Engineer of Record for issued drawings, specifications, data sheets, engineering lists and ...

Brunel

Structural Engineer/Saskatoon

Saskatoon, SK · On-site

Sound knowledge of 3D data-centric design systems * Sound knowledge of engineering management systems * Ability to delegate tasks and effectively supervise others Experience in the use of procedures ...

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All JobsData Engineering JobsData Engineering Jobs in Saskatchewan

Data Engineering information

See Saskatchewan salary details

$25K

$135.7K

$228.5K

How much do data engineering jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data engineering in Saskatchewan is $135,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,500.00 and $172,000.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What jobs make $1,000,000 a year?

In data engineering, earning $1,000,000 annually is rare and typically involves senior roles such as lead data engineers or those working in high-paying industries like finance or technology, often with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Most high earners in this field also supplement income through equity, bonuses, or consulting. Such compensation levels are uncommon and usually require a combination of expertise, strategic position, and company size.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

What are the most commonly searched types of Data Engineering jobs in Saskatchewan? The most popular types of Data Engineering jobs in Saskatchewan are:
What are popular job titles related to Data Engineering jobs in Saskatchewan? For Data Engineering jobs in Saskatchewan, the most frequently searched job titles are:
What job categories do people searching Data Engineering jobs in Saskatchewan look for? The top searched job categories for Data Engineering jobs in Saskatchewan are:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in Saskatchewan as of June 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution, with an average salary of $135,712 per year, or $65.2 per hour.

Data & BI Analyst

Align Technology, Inc.

On-site

Full-time

Posted 7 days ago

Job description

We are looking for an enthusiastic and motivated BI & Data Analyst to join our EMEA Data & Analytics team.

This is a great opportunity for someone eager to learn, contribute hands-on, and grow within a collaborative and supportive environment. The role combines structured analytics work with day-to-day operational support, ensuring strong exposure across the full data lifecycle.

As a BI & Data Analyst, you will play a crucial role in extracting actionable insights from large datasets to drive informed business decisions, aiming to support the EMEA organization. Leveraging data and data visualization tools, you will contribute to the enhancement of business performance. The role involves collaborating with all members of the Data & Analytics team, supporting on operational and ad-hoc data requests as part of day-to-day business needs, interpreting complex data sets, and presenting findings in a clear and concise manner to support organizational goals.


1. Data Analysis & Business Support
a. Perform hands-on data analysis to support commercial and sales teams across EMEA
b. Investigate trends, identify issues, and help answer ad-hoc business questions
c. Support recurring reporting processes and ensure accuracy and timeliness

2. Reporting & Visualization
a. Build and maintain dashboards and reports (primarily in Power BI)
b. Translate business needs into clear, user-friendly data visualizations
c. Help improve existing reports and standardize KPIs

3. Data Preparation & Modeling
a. Write and optimize SQL queries to extract and transform data
b. Support development and maintenance of data models, dataflows, and semantic models
c. Contribute to ELT processes, ensuring efficient data transformation and integration

4. Automation & Process Optimization
a. Manage and maintain existing Power Automate flows to support business processes
b. Design and implement new automated workflows to improve efficiency and reduce manual effort

5. Team Collaboration
a. Work closely with senior analysts and stakeholders to deliver insights
b. Support ongoing projects and gradually take ownership of smaller initiatives
c. Learn from experienced team members and contribute to knowledge sharing

6. Continuous Learning & Improvement
a. Develop your technical and business skills with support from the team
b. Contribute ideas to improve reporting, processes, and data quality
c. Stay curious and proactive in understanding the business context

  • Bachelor's or Master's degree in a relevant field such as Statistics, Mathematics, Computer Science, or a related discipline.
  • Minimum 2-5 years of experience in BI, data analysis, or a related role. We are open to strong junior candidates with the right mindset.
  • Mandatory strong experience with data visualization tools such as Tableau or Power BI. Microsoft Power BI Certification would be a strong plus.
  • Advanced proficiency in Microsoft Excel, including complex formulas (e.g. INDEX/MATCH, SUMIFS), pivot tables, and automation using Power Query, Power Pivot, and macros (VBA) to streamline data processing, reporting, and repetitive tasks.
  • Proficiency in SQL, Python, R, or other programming languages commonly used in data analysis, with exposure to data modeling. Exposure to data modeling, statistical methods, and machine learning techniques.
  • Experience managing semantic models, dataflows, and supporting ELT processes.
  • Experience working with Power Automate, including maintaining existing flows and building new workflows.
  • Strong Excel skills (e.g., advanced formulas, data manipulation, analytical modeling).
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Excellent communication and presentation skills. Fluent in English is mandatory, with the ability to communicate effectively at all levels of the organization.

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