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Full Stack Data Analyst Developer Jobs in Barrie, ON

AECOM

Senior Fluvial Geomorphologist

Barrie, ON · On-site

Interpreting and recording data, conducting analyses, and comparing findings to relevant studies ... Bachelor's degree in a relevant scientific or engineering discipline (e.g., geomorphology, river ...

Magna

Jr. Financial Analyst (Co-op)

Aurora, ON · On-site

We are a premier supplier for the global automotive industry with full capabilities in design ... on data integrity in the financial reporting system (HFM) * Bring visibility to potential ...

Magna

Project Engineer

Newmarket, ON · On-site

Works with Analysts to provide input and direction necessary for accurate execution of CAE studies ... Application of tolerance stack ups. Consideration for manufacturing and quality assurance ...

Pursuit Aerospace

Quality Engineer II

Orillia, ON · On-site

CA$65K - CA$85K/yr

Ability to define problems, collect and analyze data, and draw conclusions Education & Experience: * Bachelor's degree in Engineering or related technical field * Minimum of 2 years of experience in ...

York Region

Solutions Architect

Newmarket, ON · On-site

... DevOps, Software Development Stacks, Platforms (including low-code) and programing languages ... data modeling and documentation User Experience and User Centered Design Ability to fully ...

CRH

Engineer in Training (EIT)

Tiny, ON

CA$60K - CA$70K/yr

Manage the full lifecycle of third-party contractors, including assigning job requirements and ... Apply analytical thinking and problem-solving skills to interpret data, manage time effectively ...

Micro1

Remote Aerodynamics Expert

Collingwood, ON · Remote

... aerospace engineering mechanical engineering thermofluids experimental methods technical ... analysis About micro1 micro1 is the leading AI data lab for training frontier models and evaluating ...

Micro1

Remote Aerodynamics Expert

Uxbridge, ON · Remote

... aerospace engineering mechanical engineering thermofluids experimental methods technical ... analysis About micro1 micro1 is the leading AI data lab for training frontier models and evaluating ...

Micro1

Remote Aerodynamics Expert

Angus, ON · Remote

... aerospace engineering mechanical engineering thermofluids experimental methods technical ... analysis About micro1 micro1 is the leading AI data lab for training frontier models and evaluating ...

Matchless Stove and chimney

Demand Planner

Barrie, ON

$62K - $85K/hr

Napoleon leads the way with innovative engineering, advanced manufacturing techniques, unsurpassed ... Forecast Data Analysis - Complete detailed analysis for various levels of demand forecasts, sales ...

Magna

Warranty Co-op

Newmarket, ON · On-site

CA$18.90 - CA$25.46/hr

Currently enrolled in a post-secondary program in Engineering, Business, Data Analytics, Quality, Supply Chain, or a related field * Less than one (1) year of related work experience * Strong verbal ...

Magna

Project Engineering Co-op

Newmarket, ON

CA$21.08 - CA$25.46/hr

With guidance from engineering management is able to Analyze QFD, FEA, FMEA, DOE, VA/VE and DFM/DFA ... Importantly, no applicant data is shared externally through these AI tools. All information remains ...

Magna

Project Engineering Co-op

Newmarket, ON · On-site

CA$21.08 - CA$25.46/hr

With guidance from engineering management is able to Analyze QFD, FEA, FMEA, DOE, VA/VE and DFM/DFA ... Importantly, no applicant data is shared externally through these AI tools. All information remains ...

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All JobsFull Stack Data Analyst Developer JobsFull Stack Data Analyst Developer Jobs in Barrie, ON

Full Stack Data Analyst Developer information

See Barrie, ON salary details

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How much do full stack data analyst developer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for full stack data analyst developer in Barrie, ON is $51.40, according to ZipRecruiter salary data. Most workers in this role earn between $39.22 and $61.97 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full stack data analyst developer, and why are they important?

To thrive as a Full Stack Data Analyst Developer, you need strong analytical skills, proficiency in programming languages like Python or JavaScript, and a solid understanding of both front-end and back-end development, often supported by a degree in computer science, statistics, or related fields. Familiarity with databases (SQL/NoSQL), data visualization tools (such as Tableau or Power BI), and experience with frameworks like React or Django are typically required. Strong problem-solving abilities, effective communication, and adaptability set exceptional professionals apart in this role. These skills are vital for delivering comprehensive, data-driven solutions that bridge technical, analytical, and business needs.

What is a full stack data analyst developer?

A Full Stack Data Analyst Developer is a professional skilled in both data analysis and software development across the entire technology stack. They handle tasks ranging from data collection and cleaning, to building analytical models, and developing applications or dashboards to visualize and interact with data. This role requires proficiency in programming languages, data visualization tools, databases, and analytical techniques. Full Stack Data Analyst Developers are valued for their ability to bridge the gap between data science and software engineering, delivering end-to-end data-driven solutions.

How does a full stack data analyst developer typically collaborate with cross-functional teams on data-driven projects?

Full Stack Data Analyst Developers often work closely with data scientists, business analysts, product managers, and software engineers to deliver end-to-end data solutions. They are responsible for gathering requirements, designing data models, building data pipelines, and developing user-facing dashboards or applications. Effective communication and a collaborative mindset are essential, as the role involves translating business needs into technical solutions and ensuring data integrity throughout the process. Regular meetings, code reviews, and agile methodologies are common practices to align efforts and achieve project goals.
What cities near Barrie, ON are hiring for Full Stack Data Analyst Developer jobs? Cities near Barrie, ON with the most Full Stack Data Analyst Developer job openings:
Full Stack Data Analyst Developer jobs near you

Remote Materials Scientist / Engineer

Micro1

Orillia, ON • Remote

Full-time

This job post has expired today. 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