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Data Analytics Engineer Jobs in Manitoba (NOW HIRING)

We provide actuarial, administration, software programming, and consulting solutions for pension ... Quality control of year-end data input and verification of program output, including Annual Benefit ...

We provide actuarial, administration, software programming, and consulting solutions for pension ... Quality control of year-end data input and verification of program output, including Annual Benefit ...

... working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational ...

... working in Data Engineering/Data Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational ...

University or college degree in engineering, technologist, finance, or data science with a focus on cost analysis * Advanced proficiency in Microsoft Excel required, including experience with ...

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

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

Experience with Azure DevOps, Microsoft Office, Visual Studio * Experience with pension plan and ... Detailed oriented, analytical and problem-solving aptitude * Proactive, strong-minded, quick ...

Activities include layout development and structural analysis of industrial structures for both ... Sound knowledge of 3D data-centric design systems * Sound knowledge of engineering management ...

Utilize failure and warranty data analysis to identify key improvement areas, collaborating with ... Bachelor's degree in engineering. * Minimum 5 years of experience in an engineering capacity.

Utilize failure and warranty data analysis to identify key improvement areas, collaborating with ... Bachelor's degree in engineering. * Minimum 5 years of experience in an engineering capacity.

Jr. Quality Assurance Analyst

Winnipeg, MB · On-site +1

CA$50K - CA$60K/yr

Partner with Business Analysts, Developers, Product Owners, and QA Leads to clarify requirements ... In accordance with the TELUS Health Solutions Data Center Security Policy, as a condition of ...

Showing results 21-40

Data Analytics Engineer information

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What are popular job titles related to Data Analytics Engineer jobs in Manitoba? For Data Analytics Engineer jobs in Manitoba, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Manitoba look for? The top searched job categories for Data Analytics Engineer jobs in Manitoba are:
Infographic showing various Data Analytics Engineer job openings in Manitoba as of August 2026, with employment types broken down into 100% Full Time. Highlights an 61% In-person, and 39% Remote job distribution.

Full-Stack Developer (Node, React, Express)

Targeted Talent

Winnipeg, MB • Remote

$110K - $135K/yr

Full-time

Re-posted 3 days ago


Job description

We are looking for an experienced Senior Node.js Full-Stack Developer 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 developing API's, introduce new features, fix bugs, contribute to high level architecture design and help mentor and guide junior developers on their journey.

You Have:

  • 3 - 5+ years of production experience, with at least 2 working with Node.js, JavaScript / TypeScript and related frameworks (NestJS, Express)
  • Good understanding of API design and REST
  • Knowledge of relational (PostgreSQL, MySQL, etc.) and NoSQL (DynamoDB, MongoDB, etc.) databases
  • Experience working with Startups are considered a bonus
  • Experience working with cloud services, specifically AWS are considered a bonus

Some AWESOME selling points:

  • Remote + flexible work schedule
  • $125k - $135k base + Equity + Health Spending Account (it's competitive)
  • Huge opportunity for career progression to lead
  • Amazing mentorship (seriously)
  • Great internal culture (and we're not just saying that)
  • Plenty of vacay
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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About Targeted Talent

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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