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Data Engineer Jobs in Saskatchewan (NOW HIRING)

Targeted Talent

Senior Data Engineer

Saskatoon, SK · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

Targeted Talent

Senior Data Engineer

Saskatoon, SK · Remote

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've ...

Targeted Talent

Junior Data Engineer

Saskatoon, SK · On-site

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

Targeted Talent

Junior Data Engineer

Saskatoon, SK · On-site

We are looking for an experienced Junior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

Targeted Talent

2 - Senior Data Engineer

Saskatoon, SK · On-site

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

Targeted Talent

2 - Senior Data Engineer

Saskatoon, SK · On-site

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is remote to start with later relocation to Calgary or Winnipeg . Our client is a global ...

Brandt

Data Architect

Regina, SK · On-site

As a Data Engineer, you will play a crucial role in developing and maintaining efficient data pipelines, ensuring data accuracy, and contributing to business intelligence initiatives. Duties and ...

Targeted Talent

Data Scientist

Saskatoon, SK · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Targeted Talent

Data Scientist

Saskatoon, SK · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Farm Credit Canada

Learning and development opportunities to help you thrive Hybrid work options - How you'll make an impact As a Senior Data Developer on the Allowance for Credit Loss (ACL) team, you'll contribute to ...

Farm Credit Canada

Hybrid work options - How you'll make an impact As a Senior Data Developer on the Allowance for Credit Loss (ACL) team, you'll contribute to developing and supporting high‑quality financial ...

Farm Credit Canada

Hybrid work options - How you'll make an impact As a Senior Data Developer on the Allowance for Credit Loss (ACL) team, you'll contribute to developing and supporting high‑quality financial ...

Targeted Talent

Senior Data Scientist

Saskatoon, SK · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Targeted Talent

Senior Data Scientist

Saskatoon, SK · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Targeted Talent

Senior Database Developer

Saskatoon, SK · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position, remote! Our client is a large fintech firm with a product that you've likely used many times before. You ...

Targeted Talent

Senior Database Developer

Saskatoon, SK · Remote

$95K - $110K/yr

We are looking for an experienced Data Developer for our client. This is a permanent position, remote! Our client is a large fintech firm with a product that you've likely used many times before. You ...

Targeted Talent

R Developer

Saskatoon, SK · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

Targeted Talent

R Developer

Saskatoon, SK · Remote

Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong ...

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 ...

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All JobsData Engineer JobsData Engineer Jobs in Saskatchewan

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.
More about Data Engineer jobs
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:
Data Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

Targeted Talent

Saskatoon, SK • Remote

Full-time

Posted yesterday

Job description

We are looking for an experienced Senior Data Engineer for our client. This is a permanent position that is completely remote! Our client is a global enterprise company with a product that you've likely used.
Within this role, you'll have the chance to work on an application that is used by millions of users daily. With your expertise in BI, Data warehousing and big data you'll contribute to the expanding expertise of the team and keep data components current!

You Have:

  • Minimum 5+ years professional working experience as a Data Engineer
  • Strong experience working with both batch and real-time ETL involving large data sets
  • 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 working with Business Intelligence and Data Warehousing
  • Experience working with data services on the cloud such as AWS and/or Google Cloud Platform environments
  • Experience with REST API's

Some AWESOME selling points:

  • Remote + flexible work schedule
  • North of six figures salary + Equity + Health Spending Account (it's competitive)
  • Amazing opportunity for career progression to lead
  • Amazing mentorship (seriously)
  • Plenty of vacay
  • RRSP Matching
  • Team budget for education for employees

It's a seriously awesome opportunity! If this looks interesting to you, go ahead and click apply :)


* Unfortunately we are only able to consider candidates who either live in Canada, or currently have an active Canadian work visa or citizenship for this role.

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Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA

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