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Data Engineering Jobs in Saskatchewan (NOW HIRING)

Brandt

Data Architect

Regina, SK

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 ...

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 ...

KPMG

Data Support Senior Consultant

Regina, SK · On-site

Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information Systems, Data Engineering, Data Analytics, or other IT-related degree; * Strong database proficiency (e.g ...

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

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

Junior Data Engineer

Saskatoon, SK

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

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 ...

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 ...

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Showing results 1-20

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.

Senior Developer (Lending Data Engineering)

Farm Credit Canada

Regina, SK

Full-time

Posted 3 days ago

Job description

Closing Date (MM/DD/YYYY):

06/26/2026

Worker Type:

Permanent

Language(s) Required:

English

Term Duration (in months):

Salary Range (plus eligible to receive a performance based incentive, applicable to position) :

$107,780 - $145,820

Why FCC?

At FCC, we're proud to be 100% invested in Canadian agriculture and food. As a federal Crown corporation, we provide financing, knowledge resources and business management software to over 103,000 customers nationwide.

Here's what you can expect when you join our team:

  • Competitive total rewards packages: market-aligned and performance-based salary and incentive programs, flexible and comprehensive group benefit and savings plans, and well-being support through benefits and wellness programs

  • Purpose-driven work: We build strong relationships, share knowledge and support the people who feed the world

  • Growth: Learning and development opportunities to help you thrive

  • Hybrid work options

~

Howyou'llmake an impact

Put your engineeringexpertiseinto practice by solvingcomplicatedproblemsin our internallending software bybuildingreliable and modern datapipelines andmakinga meaningful impact through both technical leadership and collaboration.

As a SeniorDeveloper,you'llplay a critical role in ensuring FCC's lending data is trusted,accurate,timely, and ready to drive decision-making across the organization. As a senior technical contributor and informal technical lead, you will design and build modern, cloud-based data pipelines that move loan-related data from lending systems into the enterprise Business Vault using Data Vault 2.0 methodologies. Your work will directly enable highquality reporting, risk analysis, and financial insights that support FCC's business and strategicobjectives.

In this role,you'llcollaborate closely with product owners, analysts, architects, and other developers to design endtoend data solutions, while alsoremaininghandson with coding, testing, and deployment. Beyond delivery,you'llguide and mentor other developers by sharing best practices, influencing architectural decisions, and promoting strong engineering and data development standards.

Whatyou'lldo

  • Develop, test, and deploy highquality code using Python,PySpark, and SQL in a cloudbased environment

  • Lead technical and solution design sessionwithin an agile development team

  • Influence and champion the vision for data engineering across several Lending teams

  • Use modern data engineering practices and Data Vault 2.0 methodologies to design, build, and maintainETLdata pipelines

  • Ensure technical solutions, pipelines and data modelsarefit for purpose, aligned with enterprise standards, andmaintainedin the most efficient and effective manner

  • Collaborate closely with product owners, analysts, architects, and internal data consumers across Reporting, Risk, and Finance.

  • Act as an informal technical leader by mentoring and coaching developers, leading code reviewsandproviding constructive feedback to team members

  • Improve pipeline reliability and maturity by enhancing automation, integration testing, and CI practices across the data development lifecycle

Whatyou'llbring to the team

Requiredqualifications

  • Bachelor's degree in computer science orsoftwareengineering

  • Minimum10years of softwaredevelopmentexperience(or an equivalent combination of education and experience)

  • Expert-levelproficiencyin some orallofthe followingAWStechnologies:AWS Glue, StepFunctions, S3, Redshift,Quicksight, Lambda,Eventbridge,Sagemaker,andAppFlow

  • Expert levelproficiencyin Pythonand/orPySpark

  • Extensive experience designing and buildingETLdata pipelines

  • Data modelling experience in both Data Vault 2.0 and Dimensional (Star Schema) methodologies

  • Proven knowledge of common design patterns and when to apply them, such as object-oriented programming (OOP) and functional programming (FP) paradigms

  • Experienceoptimizingdesign to enable business value creation

  • Demonstrated experience with application design and system integration

  • Demonstrated experience with modern approaches to code reviews, versioncontroland continuous integration

  • Foundational knowledge of financial services concepts such as loans, credit scores, and risk data

Preferredqualifications

  • Experience coaching and mentoring peers (informal leadership)

  • Experience building automation and integration tests and designing easy-to-use frameworks

  • Working knowledge ofTypescript

Not sure you meet every requirement? We encourage you to apply anyway.

#FCCEN

You belong here
At FCC, we're committed to creating an inclusive, equitable and accessible workplace - one that reflects the communities where we live, work and play. Our team is made stronger through diversity, and we're dedicated to building a workforce that brings together a range of backgrounds, abilities and perspectives.
We encourage qualified applicants to apply, including members of these four employment equity groups:
Indigenous Peoples
Members of visible minority groups
Persons with disabilities
Women

Accessibility and accommodations

To support an inclusive and accessible candidate experience, we encourage anyone needing an adjustment or accommodation during any stage of the recruitment process to email us at: TalentSupplyRecherch@fcc-fac.ca. An HR partner will respond and work with applicants who request a reasonable accommodation. Information received in relation to accommodation requests will not impact hiring decisions.

Apply