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Data Engineering Jobs in Saskatchewan (NOW HIRING)

Transmission Lines Engineering Lead

Regina, SK · Hybrid

CA$125K - CA$171K/yr

AtkinsRealis is dedicated in engineering a better future for our planet and its people. We are ... We connect people, data and technology to transform the world's infrastructure and energy systems.

The Data Center Server Specialist is a recognized subject matter expert responsible for the advanced engineering, implementation, and highest-level support of the organization's enterprise-wide ...

... engineering calculations, technical specifications, data sheets and reports, and assist/participate with on-site commissioning. The Role: * Assist the Electrical Lead Engineer with the delivery of ...

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 ...

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 ...

... with engineering intent and safety requirements. * Present weekly and monthly reports to leadership covering asset health, project progress, cost, schedule, and risk. Data Management & Reporting

... with engineering intent and safety requirements. * Present weekly and monthly reports to leadership covering asset health, project progress, cost, schedule, and risk. Data Management & Reporting

... with engineering intent and safety requirements. * Present weekly and monthly reports to leadership covering asset health, project progress, cost, schedule, and risk. Data Management & Reporting

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Data Engineering information

See Saskatchewan salary details

$25K

$135.7K

$228.5K

How much do data engineering jobs pay per year?

As of Aug 14, 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.

What does a data engineer do?

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 is data engineering?

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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

What skills and qualifications are needed to thrive as a data engineer?

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:

Infographic showing various Data Engineering job openings in Saskatchewan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 82% In-person, and 18% Hybrid job distribution, with an average salary of $135,712 per year, or $65.2 per hour.

Departmental Assistant, College of Engineering

American Institute for Chemical Engineers

Saskatoon, SK

Full-time

Posted 8 days ago


Job description

Summary:

The departmental assistant supports undergraduate laboratory instruction in the department through the design, delivery, and supervision of laboratory programs. This position oversees laboratory operations, resources, and facilities while contributing to curriculum delivery.  Instructional coverage in academic courses may also be provided given the candidate's background. The assistant supports faculty and students through advanced technical involvement related to undergraduate and graduate research, fieldwork, and full-scale testing activities.  The assistant supports departmental committees focused on occupational health and safety. Additionally, the person in this role participates in the planning, construction, and operation of laboratory and field equipment used for teaching, research, and external testing services. The assistant engages with industry to deliver specialized laboratory testing services that support academic programming and collaborative initiatives.

 

Duties and Responsibilities:
  • Leads multidisciplinary laboratory, field, and full-scale testing programs through planning, coordination, supervision, and hands-on participation including full scale masonry, concrete, and steel structures.
  • Develops and delivers support to undergraduate and graduate laboratory modules aligned with program and/or accreditation requirements, which may include developing online or remote lab experiences for flexible course delivery.
  • Oversees laboratory operations, budgets, facilities, equipment, and fee-for-service activities.
  • Oversees laboratory safety programs, risk assessments, training delivery, and participation in departmental and college safety committees.
  • Provides advanced technical support for research through testing, instrumentation deployment, data acquisition, and equipment fabrication.
  • Supervises, leads, and coaches undergraduate and graduate students with research and teaching support staff during laboratory and field activities.
  • Designs, fabricates, modifies, maintains bench-scale, full-scale, and field-scale laboratory equipment (eg. Mechanical, hydraulic, fabrication systems, construction, welding, steelwork, plasma cutting).
  • Oversees procurement of appropriate tools, instrumentation, and equipment required to meet research testing requirements.
  • Coordinates and supports departmental field programs, including specialized programs and/or field investigations.
  • Liaises with industry partners to deliver testing services, site tours, demonstrations, and collaborative projects.
  • Maintains and improves laboratory infrastructure, software tools, databases, and testing systems.
  • Provides specialized expertized expertise in data acquisition, instrumentation, software programming, and system integration with broad technical proficiency in multiple engineering disciplines including civil, structural, geotechnical, environmental, hydraulic, and mining engineering.
  • Supports student engagement through instructional guidance, supervision, and participation in outreach activities.
  • Communicates and acts in a respectful and professional manner, collaborates effectively, abides by policy, and contributes to a positive and productive work and learning environment.
  • Building and maintaining industry relationships to create future research and funding opportunities.
  • Maintaining a strong focus on safety is essential and serves as a key resource related to ensuring safe construction and testing practices. 
  • Engages in continuous learning by participating in activities, training, and events related to Indigenous engagement, reconciliation, equity, diversity, and inclusion. 
  • Demonstrates respect and dignity for all members of the community, actively contributes to an environment of acceptance and inclusion of others, and responds to different perspectives from a place of curiosity, respect, and non-judgement. 
  • Undertakes related duties, as assigned, consistent with the nature of the position.  


Qualifications:
  • A bachelor's degree in engineering, preferably in civil, geological, or environmental engineering; a master's degree is preferred; or an equivalent combination of training and experience.
  • Registration as a Professional Engineer (P.Eng.) with the Association of Professional Engineers and Geoscientists of Saskatchewan (APEGS) or equivalent Canadian body is an asset.
  • A valid Class 5 driver's license.
  • Minimum of two years of directly related professional experience supporting laboratory instruction, research activities, and fieldwork, including supervising, instructing, coaching, or leading small teams.
  • Considerable experience in mechanical, electrical, hydraulic, carpentry, masonry, and construction work.
  • Strong judgment related to safety, equipment planning, and project delivery.
  • Capacity to maintain multiple priorities in laboratory, field, and academic environments.
  • Effective communication and organizational skills.
  • Ability to work effectively both independently and collaboratively in a team.
  • Proven ability to prioritize conflicting demands during peak periods of activity.
  • Proficient computer skills, including Microsoft Office applications; familiarity with engineering and data acquisition software, such as Bluehill Universal, MTS Test Suite, MTS 793 Software, Labview, Measurement and Automation Explorer, GI Bench, and PLC ladder logic programming.