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Data Analytics Engineer Jobs in Manitoba (NOW HIRING)

StandardAero

Service Engineer - SACS

Winnipeg, MB · On-site

Review customer required technical and contractual data and develop and communicate engine work ... Strong planning, organizational, analytical, leadership, interpersonal, decision making, oral and ...

ALS

Junior Machine Learning Engineer

Winnipeg, MB

CA$80K - CA$95K/yr

You will work with data scientists, engineers, product teams, and business stakeholders to help ... Strong analytical thinking, problem-solving skills, and a willingness to learn. Physical Demands:

Targeted Talent

Finance Business Partner

Winnipeg, MB · On-site

... Engineering teams. The successful candidate should have: * A history of building influence and ... Experience with SQL and/or data analysis tools (Tableau/PowerBI) * Bonus points for experience ...

StandardAero

QEC Service Engineer

Winnipeg, MB · On-site

Participates in proactive risk analysis of flight/product safety critical parts and processes ... Contributes to the planning and conduct of repair trials to generate data for new repairs or to ...

Activate Games

Senior QA Automation Engineer

Winnipeg, MB · On-site

CA$110K - CA$120K/yr

Define guardrails for AI-assisted testing, including data access, privacy, human review ... Mentor QA Analysts and developers in modern automation, AI-assisted testing, and failure diagnosis.

Canadian Nuclear Laboratories LTD

Interpreting design drawings, documents, data collected from field visits and the client's needs ... standards, procedures and analysis reports. * Reviewing and/or recommending technical ...

WSP

Senior Signalling Engineer, Rail & Transit

Winnipeg, MB · On-site

CA$135K - CA$179K/yr

Develop and analyze signal systems for transit and heavy rail in both Communications Based Train ... Skilled in developing, modifying, and validating vital logic and application data across multiple ...

WSP

Senior Signalling Engineer, Rail & Transit

Winnipeg, MB · On-site

CA$135K - CA$179K/yr

Develop and analyze signal systems for transit and heavy rail in both Communications Based Train ... Skilled in developing, modifying, and validating vital logic and application data across multiple ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Manitoba

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:
Data Analytics Engineer jobs near you
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.

Remote Materials Scientist / Engineer

Micro1

Winnipeg, MB • Remote

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Materials Scientist / Engineer
$80 - $130/hourpay
Required Skills
materials science expertise
materials characterization
technical literature review
scientific data interpretation
clear written and verbal communication
remote collaboration
annotating technical datasets
scenario and case study development
quality assurance in scientific deliverables
analytical skills
About micro1
micro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform.

Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI.

Role Title: Materials Scientist / Engineer


Role Type: Contractor


Location: Remote


micro1 is engaging Materials Scientists / Engineers to contribute their technical expertise to a customer’s advanced materials project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret scientific data from experimental results, technical datasets, and research publications in materials science and engineering.
  2. Conduct comprehensive technical literature reviews to identify key advances, methodologies, and challenges in materials characterization and related fields.
  3. Annotate and structure technical datasets with precise, detailed commentary and context to support AI model training.
  4. Develop realistic scenarios and case studies that represent practical applications and challenges within materials engineering, metallurgy, or related sectors.
  5. Provide clear, well-organized written and verbal explanations of materials phenomena, properties, and scientific reasoning.
  6. Review and assure the quality, consistency, and accuracy of scientific deliverables submitted for project milestones.
  7. Collaborate remotely with other scientific contributors, leveraging digital tools and documentation practices.


Preferred Qualifications

  1. MS or PhD in Materials Science & Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or a related discipline with a materials specialization.
  2. Demonstrated expertise in materials characterization techniques (e.g., microscopy, spectroscopy, mechanical testing).
  3. Strong analytical skills and experience interpreting complex scientific data.
  4. Substantial experience conducting technical literature reviews and summarizing key findings.
  5. Proven ability to communicate complex technical concepts clearly, both in writing and verbally, to diverse audiences.
  6. Experience with quality assurance and review of scientific documents or datasets.
  7. Familiarity with remote collaboration tools and digital knowledge-sharing environments.


Compensation Structure

Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week.


Start Timeline & Availability

We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.


Apply