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Data Engineer Jobs in Saskatchewan (NOW HIRING)

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 ...

If you have expertise in databases, programming, and data management and enjoy improving data consistency, reducing complexity, and delivering reliable, scalable CRM data, then apply today! What you ...

In this role, you will be responsible for preparing engineering calculations, technical specifications, data sheets and reports, and assist/participate with on-site commissioning. The Role: * Assist ...

Engineering Location: Saskatoon, SK, Canada Join a company that is passionately committed to the ... Sound knowledge of 3D data-centric design systems. * Knowledge and experience with data-centric ...

The Structural Engineer is responsible for preparing engineering calculations, supervising the work of designers and junior engineers, and developing technical specifications, data sheets and reports.

Manage documentation and data, and participate in quality assurance audits Skills / Qualifications * Minimum of 5 years engineering or operations experience focusing on heavy industrial projects ...

Mining Process Engineer

Regina, SK · Hybrid

CA$115K - CA$135K/yr

Experience with APC, data analytics, historians, and data visualisation tools (asset); * PCB design ... Degree in Engineering or Computer Science (Electrical, Mechatronics, or related field); * 5+ years ...

... Engineer. You will play a key role in the integration of business entities into Align QMS ecosystem ... enable data-driven decision-making. Partnering with cross-functional teams, you will ensure our ...

Perform the design and produce drawings for building electrical systems (lighting, power, data, etc ... Must have Electrical Engineering degree * Must be licensed to practice as a Professional Engineer ...

We are looking for an experienced Senior QA Engineer for our client. This is a permanent position ... You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ...

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Data Engineer information

See Saskatchewan salary details

$60K

$122.6K

$181K

How much do data engineer jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data engineer in Saskatchewan is $122,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $142,500.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
What are the most commonly searched types of Data Engineer jobs in Saskatchewan? The most popular types of Data Engineer jobs in Saskatchewan are:
What are popular job titles related to Data Engineer jobs in Saskatchewan? For Data Engineer jobs in Saskatchewan, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Saskatchewan look for? The top searched job categories for Data Engineer jobs in Saskatchewan are:
What are popular job titles related to Data Engineer jobs in SK? For Data Engineer jobs in SK, the most frequently searched job titles are:

Master Data, SAP Specialist (AMR) CCJ1JP00000838

Morson Talent

Saskatoon, SK • On-site

$45 - $65/hr

Other

Posted 14 days ago


Job description

Job Description Role: Senior Master Data, SAP Specialist (AMR) Contract Duration: 04/20/2026 to 03/31/2027 Work Schedule: 40 hrs per week Monday - Friday Work Location: Saskatoon, SK Role Description / Key Responsibilities The incumbent will perform SAP master data work in EAM, it includes creation of new master data, changing of existing master data, and clean up & enrichment work on as needed basis. The scope covers assets (Functional Locations and Equipment Objects), spare parts (Material Masters and Bills of Materials), and PMs (Task Lists, Maintenance Items, Maintenance Plans, and Measuring Points) for new assets being installed at operating sites through new projects. Skills/Experience An experienced tradesperson or engineer with at least 5 years of experience working in operating sites in operations, engineering, or maintenance, in Energy or Mining industry, along with SAP EAM experience in maintenance planning and scheduling.

Corporate based: Training /Qualification Activities To be assigned and completed in ISN prior to attending to a Cameco safety-sensitive site (Northern SK sites) o Location Specific Site Orientation o Surface - Pre Access OR Underground Pre Access (this includes completion of a substance test)