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Senior Data Engineer Jobs in Saskatchewan (NOW HIRING)

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 ...

... as a Sr. Software Engineer, contributing to the development, enhancement, and maintenance of ... Computer Science or related education 8+ years of industry development Understanding of OOP, data ...

Intermediate (4-9yrs) and/or Senior (10+yrs) Role Description / Key Responsibilities: Perform ... data sheets, engineering lists and construction packages. Experience with sizing, selection, and ...

Process Engineering & Optimization Business Re-Engineering: Analyze complex, current-state (As-Is ... Data-Driven Analysis: Utilize process mapping and value-stream mapping tools to identify ...

... 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 ...

Showing results 21-40

Senior Data Engineer information

See Saskatchewan salary details

$77K

$137.9K

$187K

How much do senior data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for senior data engineer in Saskatchewan is $137,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $156,000.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

What are the key skills and qualifications needed to thrive as a senior data engineer, and why are they important?

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What are popular job titles related to Senior Data Engineer jobs in Saskatchewan?

For Senior Data Engineer jobs in Saskatchewan, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer jobs in Saskatchewan look for?

The top searched job categories for Senior Data Engineer jobs in Saskatchewan are:

What cities in Saskatchewan are hiring for Senior Data Engineer jobs?

Cities in Saskatchewan with the most Senior Data Engineer job openings:

What are popular job titles related to Senior Data Engineer jobs in SK?

For Senior Data Engineer jobs in SK, the most frequently searched job titles are:

Infographic showing various Senior Data Engineer job openings in Saskatchewan as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $137,866 per year, or $66.3 per hour.

Senior QA Engineer

Targeted Talent

Saskatoon, SK โ€ข Remote

Full-time

Medical

Re-posted 20 days ago


Job description

We are looking for an experienced Senior QA Engineer for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver.
You'll have the opportunity to work on an amazing platform that combines Data Analytics, and complex integration in ERP systems to deliver cutting edge financial data that is fundamentally changing the way that businesses make smarter financial decisions. Within this role you'll work on product and development, verifying new features against product requirements. Develop and execute test plans, utilizing a balance of manual, automated, and performance testing.

You Have:

  • 3+ years experience working as a QA Engineer
  • Hands on experience working with automated test tools such as Cypress and Selenium
  • Experience working with Startups are considered a bonus
  • Bonus points if you have experience with node.js and Javascript/Typescript related frameworks.
  • A B.Sc. in Computer Science/Computer Engineering

Some AWESOME selling points:

  • Remote + flexible work schedule
  • Competitive salary + Equity + Health Spending Account
  • Amazing opportunity for career progression to lead
  • Amazing mentorship (seriously)
  • Plenty of vacay
It's a seriously awesome opportunity! If this looks interesting to you, please click the link and 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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About Targeted Talent

Sourced by ZipRecruiter

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