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Weekend Walmart Data Engineer Jobs in Toronto, ON

Pelmorex

Data Scientist - Hybrid

Oakville, ON · Hybrid

  • Retirement

  • PTO

... weekend earlier during the summer months! 17 Paid Days Off (in addition to 13 Personal Days) This ... You will partner closely with Data Engineers, Product Managers, and Revenue leaders to embed ...

Walmart

Solution Consultant II

Mississauga, ON · On-site

... engineering teams during discovery to assess the value, usability, and feasibility of product ... Experience in react Native, web applicationdevelopment and data pipelinecreations. Supporting ...

Euna Solutions

Data Architect

Oakville, ON · Hybrid

CA$165K - CA$210K/yr

You'll set the reference architecture, engineering patterns, and governance posture for an entire ... EunafierDays Twice a year, you get an extra day tacked onto a long weekend. Simple reason: people ...

Walmart

(CAN) Solution Consultant III

Mississauga, ON · On-site

CA$91K - CA$126K/yr

Oversee the implementation and integration of solutions, ensuring alignment with Walmart ... Manage and mentor business analysts and quality engineering (QE) resources, fostering professional ...

Uncapped

GTM Engineer

Toronto, ON · Remote

Your building blocks are Clay, sequencers, enrichment APIs, CRM data and deliverability tooling ... We work with some of the largest global e-commerce platforms - including Amazon and Walmart - and ...

Walmart

Senior Manager, Product Management

Mississauga, ON

CA$109K - CA$150K/yr

... data. This position turns customer insights into actionable priorities, defines user and business ... Engineering, and Analytics. The Senior Manager engages with partners to determine implementation ...

Scotiabank

Developer, Platform Engineering

Toronto, ON · On-site

  • PTO

The Platform Engineer will play a critical role within the Enterprise Data & AI Technology ... weekends. Do you have the skills that will enable you to succeed in this role? We'd love to work ...

Magna

Project Engineer

Brampton, ON

CA$79K - CA$129K/yr

Experience with PowerBI, Grafana, Databricks or other data analytics tools Job Responsibilities ... Able to work overtime, including afternoon, evening shifts and weekends as required. * Travel may ...

Magna

Project Engineer

Brampton, ON

CA$65K - CA$109K/yr

Experience with PowerBI, Grafana, Databricks or other data analytics tools * Familiarity with ... Able to work overtime, including afternoon, evening shifts and weekends as required. * Travel may ...

Radian Robotics

Mechanical Design Engineer

Hamilton, ON · On-site

CA$80K - CA$100K/yr

Responsibilities · Creating 2D and 3D CAD data for robotic installations · Communicating with ... weekends or long-term commitments. · Hours are Monday through Friday, 8 AM to 5 PM, and weekends ...

Cority Software

Sr. DevOps Engineer

Toronto, ON

Support Data Center and Cloud Operations: System Provisioning, Monitoring/Alerting, Network ... Incumbent will work regular business hours, but may require evenings and weekends to complete ...

Magna

General Helper - Weekend Shift

Brampton, ON · On-site

CA$21.41 - CA$24.65/hr

Through our robust product engineering, outstanding tooling capabilities and diverse process ... LMS bay cranes pre-start checks * Assist with data management and administrative tasks, as required.

Wonderbrands

Continuous Improvement Engineer

Toronto, ON

  • Medical

  • Dental

  • Retirement

Develops insights from data evaluation to understand trends, root causes of problems, and identify ... Must be willing to work flexible shifts (including weekends) as per business and operational needs ...

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All JobsWalmart Data Engineer JobsWeekend Walmart Data Engineer JobsWeekend Walmart Data Engineer Jobs in Toronto, ON

Weekend Walmart Data Engineer information

What is the difference between Weekend Walmart Data Engineer vs Weekend Walmart Data Analyst?

AspectWeekend Walmart Data EngineerWeekend Walmart Data Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData warehouses, cloud platforms, technical teamsBusiness units, reporting tools, cross-functional teams
Employer & Industry UsageRetail industry, Walmart-specific data systemsRetail industry, Walmart sales and customer data analysis

Weekend Walmart Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills and engineering certifications. In contrast, Weekend Walmart Data Analysts interpret data to generate insights, often using statistical tools and reporting software. Both roles are essential in Walmart's data ecosystem but differ in technical depth and daily responsibilities.

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Weekend Walmart Data Engineer jobs near you
Infographic showing various Weekend Walmart Data Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist - Hybrid

Pelmorex

Oakville, ON • Hybrid

Full-time

Retirement, PTO

Posted 5 days ago

Job description

ARE YOU INTERESTED IN A WORKPLACE THAT HAS...

Flexible Hybrid Work Environment 
Retirement Savings Matching Plan (RRSP). Plan for your future with us! 
Personal Spending Account 
Up to $500 to spend on anything related to physical, mental or financial well-being (in addition to your Health Care Spending Account) 
Summer Hours 
Start your weekend earlier during the summer months!
17 Paid Days Off (in addition to 13 Personal Days) 
This includes an extra day off during the month of your birthday - our gift to you!
An IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team
Weather is inclusive, we will be too. Our IDEAS team is committed to making this happen!
 
HAVE WE GOT YOUR ATTENTION? WANT TO LEARN MORE?
 
Read about us here! (spoiler alert... we are the home of The Weather Network )
 
Proud to share that we ranked #5 Most Admired Company in Canada in Leger's 2026 Reputation Study, among 334 organizations
 
 
WHY WE NEED YOU? GLAD YOU ASKED...
 

We are seeking a versatile and highly skilled Data Scientist to join our dynamic team. This role is pivotal in driving data-driven decision-making across our B2B initiatives, with occasional contributions to our B2C sector and Adtech initiatives. You will be responsible for developing sophisticated models, conducting deep-dive analyses, and extracting actionable insights from complex datasets to optimize user experience and advertising performance.

This is a unique opportunity to work at the intersection of B2B weather intelligence and commercial data products, influencing the direction of our predictive algorithms under the mentorship of the Team Lead of Data Science working closely with leadership to align data strategies with business objectives. We offer a collaborative environment where innovation is encouraged and data-driven insights are at the heart of everything we do. 

Please note, we are only considering candidates who are eligible to work in Canada and can work in a Hybrid model at our Oakville location
 
WHAT DOES THE DAY-TO-DAY LOOK LIKE

  • Build Predictive Weather Models: You will design, train, and deploy machine learning and spatio-temporal models to integrate weather feeds with client sales data to predicting demand, optimizing forecasts, and quantifying operational risk.

  • Derive Actionable Insights: You will conduct end-to-end exploratory analysis on complex meteorological datasets to uncover high-value patterns and translate probabilistic trends into strategic recommendations.

  • Drive B2B & Commercial Growth: You will partner with Sales, Marketing, and Customer Support to build analytics solutions for B2B initiatives.

  • Optimize ML Performance: You will leverage distributed frameworks (e.g., PySpark, Dask, Ray) and modern ML stacks (Scikit-learn, PyTorch/TensorFlow, LLMs) to improve model speed, scale inference pipelines, and lower compute costs.

  • Own the Model Lifecycle: Take responsibility for the full end-to-end lifecycle, including testing, deployment, and ongoing monitoring to ensure production-grade stability and reliability.

  • Technical documentation: Actively document model architectures, data lineage, and decision logic to ensure reproducibility, facilitate peer review, and maintain long-term institutional knowledge.

  • Cross-Functional Collaboration: You will partner closely with Data Engineers, Product Managers, and Revenue leaders to embed predictive algorithms into live APIs and deliver scalable data products that solve real-world enterprise problems.

WE ARE HOPING YOU HAVE

  • Degree in a STEM discipline (Data Science, Statistics, Computer Science, or a related quantitative field); a Master's or PhD is preferred but not required. 

  • 3+ years of data science experience specializing in B2B environments, with expertise in spatio-temporal modeling, time-series forecasting, and weather data intelligence. 

  • High proficiency in Google BigQuery (SQL, window functions, query optimization, and large-scale data manipulation).

  • Advanced expertise in Python for statistical modeling, data science, and graphical visualization (e.g., Matplotlib, Seaborn, or Plotly), with hands-on experience using core ML libraries including NumPy, SciPy, Scikit-learn, and TensorFlow or PyTorch. 

  • Experience working with distributed computing frameworks (e.g., Apache Spark) to process large-scale datasets. 

  • Strong communication skills, including the ability to explain complex ideas to an audience with a non-technical background 

NICE TO HAVE

  • Proven experience developing and deploying Deep Learning models in industry or research environments. 

  • Familiarity with deploying Large Language Models (LLMs) or retrieval-augmented generation (RAG) pipelines for automated reporting, intelligent customer support routing, or unstructured data processing. 

  • Experience scaling models across large datasets using distributed processing frameworks.         

DON'T MEET ALL THE REQUIREMENTS? DON'T WORRY...
Not all applicants will have skills that match a job description exactly. Pelmorex values and welcomes diverse experiences. While having "desired" qualifications makes for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Pelmorex. We are always looking for people who will be a culture add (yup, that's right, we don't subscribe to culture fit, we want you to add to what we think is an amazing culture and work environment
INTERESTED? IT GETS BETTER....
  • Course Reimbursement Program We want you to keep learning, so we can too
  • Open and transparent communication, including All Hands Meetings with our CEO
  • Pelmorex Learning Academy
  • Your mental health is important to us! We partner with our Benefits provider for virtual counseling sessions
  • Frequent employee pulse surveys we value your feedback so we can continue to make Pelmorex a great place to work!
  • Free online doctor visits with Maple Online Healthcare
  • While we encourage 1:1 conversations, we recognize that not everyone is comfortable with speaking up We have an anonymous reporting platform to ensure everyone's voice is heard
OUR PROMISE TO YOU...

We're highly focused on doing the right thing.
We'll discuss issues and timelines professionally, so you have the time you need to do the best work you can
You will see the result of your work pushed out to real users quickly
We're a team that enjoys learning new technologies and we're open to trying new things
We'll try our best not to bog you down with boring meetings

Weather inspires, protects, and transforms. For 35+ years, Pelmorex has led the way with trusted forecasts and alerts. With innovation at our core, we provide precision, speed, and unmatched reliability-safeguarding lives, powering decisions, and driving business success. Whatever the weather, we turn its potential into action. We're Pelmorex. Imagine it and we'll deliver it.

Fair and Authentic Interview Experience
We welcome candidates using AI tools to prepare for interviews or to learn more about Pelmorex. During the interviews themselves, we expect responses to come from your own experience and thinking.
We ask that candidates not use real-time AI assistance, live answer prompts, or automated response tools during interviews. This helps ensure a fair process for everyone and allows us to evaluate how you approach problems and communicate in your own voice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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