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Data Engineering Jobs in Saskatchewan (NOW HIRING)

Bachelors Degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a closely related quantitative field (or equivalent practical experience). * 5+ years of software ...

Engineer Lead

Belle Plaine, SK ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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

Junior Machine Learning Engineer

Saskatoon, SK

CA$80K - CA$95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work with structured and unstructured data to support model development, feature engineering, and data preparation. * Collaborate with senior AI engineers and data scientists to improve model ...

Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a closely related quantitative field (or equivalent practical experience). * 5+ years of software ...

Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a closely related quantitative field (or equivalent practical experience). * 5+ years of software ...

... data systems, lighting, circuit diagrams, etc. pertaining to building electrical system design ... Preparation of cost estimates, tender contract documents and engineering reports * Prepare ...

Mining Process Engineer

Regina, SK ยท Hybrid

CA$115K - CA$135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience with APC, data analytics, historians, and data visualisation tools (asset); * PCB design or microcontroller experience (asset). Required Qualifications: * Degree in Engineering or Computer ...

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 ...

Senior QA Engineer

Saskatoon, SK ยท Remote

  • Medical

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... A B.Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible ...

Senior QA Engineer

Saskatoon, SK ยท Remote

  • Medical

You'll have the opportunity to work on an amazing platform that combines Data Analytics, and ... A B.Sc. in Computer Science/Computer Engineering Some AWESOME selling points: * Remote + flexible ...

Showing results 41-60

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.

Forward Deployed Engineer

Vendasta

Saskatoon, SK โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Salary:

At Vendasta, we're leading the AI revolution from right here in Saskatoonand beyond. We work together to empower our partners and customers through our AI-powered customer acquisition and engagement platform to help them get more customersand keep them. We're proud to share that Vendasta has officially been named one of Canada's Most Admired Corporate Cultures for 2025!



Your Impact

The Forward Deployed Engineer is a front-line software engineer embedded directly in high-stakes customer implementations. Operating at the intersection of platform capabilities and real-world client constraints, you will act as a strategic bridge between Sales and Research & Development. You will bridge-build integration gaps by rapidly constructing custom "Gravel Roads" to unlock customer value immediately, then document and abstract those solutions so central R&D can pave them into standard "Paved Highways."


As a Forward Deployed Engineer, you'll work with Sales, Research & Development, central Product Engineering, and client executives to:

  • Design & build enterprise data integrations, RAG pipelines, and multi-system API workflows.
  • Construct automated Evaluation test suites to benchmark system performance and retrieval accuracy against real customer data.
  • Rapidly build production-grade custom code, glue scripts, and workaround solutions for unmet platform needs in client environments, ensuring all work is tracked in Jira for accountability.
  • Partner directly with central Product Engineering to abstract field hacks and bespoke integrations into standard platform features, avoiding the creation of a "shadow backlog".
  • Diagnose and fix high-tier production bugs, API failures, model execution errors, and pipeline drops in live deployments.


What You Bring

  • Bachelors Degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or a closely related quantitative field (or equivalent practical experience).
  • 5+ years of software engineering experience, with at least 23 years in a senior, client-facing technical role (e.g., Forward Deployed Engineer, Solutions Architect, or Technical Lead).
  • Full-stack and AI/data fluency with proficiency in Python, TypeScript, REST APIs, Vector Databases, and RAG architecture.
  • Exceptional communication bandwidth to translate technical bottlenecks to client executives.
  • Proven ability to exercise discretion, diplomacy, and bring technical clarity.
  • You thrive in chaotic, high-visibility, client-facing environments and prefer building quick production fixes in messy legacy code over insulated spec sheets.
  • You grasp non-deterministic software architecture, understand that LLMs are probabilistic, and instinctively know how to debug AI agent failures at API steps or context retrieval without finger-pointing.


About Us

We help businesses get more customers. And keep them. We're on a mission to build the most trusted AI-powered platform for small businesses and the partners who support them. At Vendasta, you'll be part of something ambitious: helping bring AI transformation to local businesses at scale. As a team member, you'll enjoy:

Competitive health benefits, flex time, and annual work-from-anywhere options Equity opportunities and a chance to directly shape our AI future A vibrant workplace culture that embraces experimentation, thought leadership, and continuous learning A place where building AI isn't just a buzzword, it's the core of everything we do.


Join the Vendasta team, where your professional mastery and intellectual growth drive our platform forward. Step into an AI-first organization built for elite problem solvers who thrive on tackling complex business challenges and scaling sophisticated, automation-driven solutions. Accelerate your professional trajectory through rigorous learning tracks, continuous operational development, and exposure to cutting-edge AI methodologies designed to push the boundaries of the B2B SaaS industry. We are bound by a high-performance culture rooted in our core valuesDrive, Innovation, Respect, and Agilitywhere the true reward is the complexity of the challenge and the scale of your global impact. At Vendasta, you will find the infrastructure to build, the ecosystem to innovate, and an elite peer group required to sharpen your expertise.


Master your craft. Solve the impossible. Build the future of SaaS with us.