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Added 13 mins ago
B
Director, Quantitative Developer (C#)
BMO
Toronto, ON · FCP
- Full-time
BMO Capital Markets is a leading, full-service financial services provider. We offer corporate and investment banking, treasury management, as well as research and advisory services to…
Added 13 mins ago
Bloomberg On-Site Support Specialist
Bloomberg
Toronto, ON
…combines strong technical fundamentals with exceptional customer service, business awareness, teamwork, and personal ownership. You will work as part of the Toronto BOS team supporting…
Added 27 mins ago
UO
Co-op Coordinator
University of Victoria
Victoria, BC
- Full-time
…delivery of services, initiatives, and events as required to meet service standards and expectations aligned with the university’s commitment to equity, diversity, and…
Added 27 mins ago
VC
Ingénieur(e) Mécanique
VTEK Consultants Inc.
Montreal, QC
- Full-time
Fournir un soutien technique durant les phases de construction et de mise en service.
Added 42 mins ago
EG
Safety Chief - RAMS and Systems Assurance
Egis Group
Toronto, ON · Hamilton, Ontario
- Full-time
Professional Engineer (P.Eng.) designation in Ontario.
Added 57 mins ago
QC
Senior Software Engineer
Quarry Consulting
Canada
- Full-time
Title: Sr. Software Development Engineer (Fullstack)
Added 57 mins ago
W
Data & AI Engineer
Wiraa
Canada
- $67,120 to $100,680 CAD / year
- Full-time
The Data & AI Engineer will play a critical role in designing and implementing data platforms for AI products, developing parameterized data pipelines leveraging GPUs and CPUs, and building…
Added 57 mins ago
TI
Senior GCP Application Support Engineer
TekStaff IT Solutions
Toronto, ON
- Contract
TekStaff's Client has a current vacancy for " Senior GCP Application Support Engineer
Added 57 mins ago
P
Desktop Senior Engineer
PeoplePilot
Montreal, QC
- $110,000 to $120,000 CAD / year
- Full-time
We are looking for an experienced Desktop Senior Engineer to support enterprise end-user computing environments, desktop technologies, endpoint management, and virtual desktop…
Added 1 hour ago
CE
Soutien en service - Ingénieur de conception / In-Service Support - Design Engineer
Capgemini Engineering
Montreal, QC
- Full-time
Job Title - In-Service Support – Design Engineer
Added 1 hour ago
CE
Soutien en service - Ingénieur de conception / In-Service Support - Design Engineer
Capgemini Engineering
Montreal, QC
- Full-time
Job Title - In-Service Support – Design Engineer
Added 2 hours ago
SJ
Field Service Engineer
Scot JCB Ltd
ON · Essex, ON
- Full-time
Scot JCB are looking for a skilled plant engineer to join our growing team of field engineers based in or around the Waltham Abbey area.
Added 2 hours ago
HT
PD Software for Service
Husky Technologies
Bolton, ON
- Full-time
The Service team is currently seeking a Software engineer/designer to specialize in resolving service issues with a focus on Injection Molding Machine controls, including servo drive and…
Added 2 hours ago
HT
PD Service - Mechanical
Husky Technologies
Bolton, ON
- Full-time
The service team is currently seeking a Mechanical engineer/designer to specialize in resolving service issues.
Added 2 hours ago
V
Systems and Applications Engineer
Valmet
Halifax, NS
- Full-time
You are a highly motivated and self-driven engineer who enjoys solving technical challenges and working directly with customers. You combine strong technical expertise with a collaborative…
Added 2 hours ago
GO
Technical Advisor
Government of Yukon
Whitehorse, YT
- Full-time
Yukon government’s vision is an engaged and diverse public service that embraces innovation to deliver positive outcomes for Yukoners.
Added 2 hours ago
SP
Field Service Engineer
STQ Partners
ON · Ontario, Canada
- Full-time
Field Service Engineer – Industrial Robotics & Automation
Added 2 hours ago
CE
Airframe Design Repair Engineer (In-service)
Capgemini Engineering
Montreal, QC
- Full-time
Job Title - Airframe Design Repair Engineer (In-service)
Added 4 hours ago
A
Java Full Stack Lead
Accenture
Mississauga, ON
- Full-time
A Full Stack Engineer with strong expertise in Java, Spring Boot, Angular, AWS Cloud, and DevOps practices, along with experience delivering and supporting enterprise applications across…
Added 4 hours ago
Surveyor
Lloyds Register
Halifax, NS
We are looking for an experienced surveyor who will assess the design, production, and in-service aspects of engineering assets, using procedures, experience and knowledge appropriate for…
Added 5 hours ago
H
Aircraft Maintenance Engineer - M1 or M2
Heli-One
Richmond, BC
- Internship
Heli‑One Canada is looking for an experienced Aircraft Maintenance Engineer (M2 rated) to perform and certify aircraft maintenance to approved airworthiness and regulatory standards. This…
Added 6 hours ago
AT
Production Support Engineer
Aarorn Technologies Inc
Toronto, ON
- $55 CAD / hour
- Contract
We are looking for a Production support Engineer to work for the Commercial Line of Business. An ideal candidate should be the one that has experience as outlined below :-
Added 7 hours ago
AT
Cloud Automation & DevOps Engineer
Aarorn Technologies Inc
Toronto, ON
- $50 CAD / hour
- Contract
Job Title: Cloud Automation & DevOps Engineer
Added 7 hours ago
V
IT Solution Support Engineer
Vanderlande
Vancouver, BC
- Full-time
As IT Solution Support Engineer, you will support, maintain, and continuously improve Vanderlande's mission-critical airport IT environments. You will help ensure the availability,…
Added 7 hours ago
V
IT Solution Support Engineer
Vanderlande
Vancouver, BC
- Full-time
As IT Solution Support Engineer, you will support, maintain, and continuously improve Vanderlande's mission-critical airport IT environments. You will help ensure the availability,…

Wiraa

Data & AI Engineer

Canada

$67,120 to $100,680 CAD / year · Full-time

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Job details

Pay: $67,120 to $100,680 CAD / year
Job type: Full-time
Posting language: English
Posted: Oct 28, 2026

Original job description

About The Company

Zebra is a community of innovators united by curiosity and a culture of caring. We develop smart solutions that anticipate the needs of our customers and partners, addressing their challenges with cutting-edge technology. At Zebra, you are seen, heard, valued, and respected. Our diverse perspectives fuel collaboration as we push boundaries to redefine the future of work for organizations, their employees, and those they serve. We offer a forward-thinking environment where you can learn, lead, and shape a fulfilling career while contributing to causes that matter locally and globally. Join us to make an impact every day.

About The Role

We are seeking a Data & AI Engineer responsible for understanding client technical requirements and designing and building data pipelines that support those needs. This role involves not only developing solutions but also overseeing the work of other engineers. The ideal candidate will possess strong verbal and written communication skills to effectively engage with clients and internal teams. A solid understanding of databases, SQL, cloud technologies, and modern data integration and orchestration tools such as Azure Data Factory (ADF), Informatica, and Airflow is essential for success.

The Data & AI Engineer will play a critical role in designing and implementing data platforms for AI products, developing parameterized data pipelines leveraging GPUs and CPUs, and building workflows to automate these pipelines. The position requires hands-on experience with Spark (Python and Scala), Dask, and Python-based automation tools like Argo. Additionally, the engineer will develop data validation tests, conduct performance testing and profiling, and optimize customer data science workloads while managing cloud service costs and utilization. This role is based in Mississauga, Canada, with a hybrid work model (3 days in office, 2 days remote).

Qualifications

Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
Minimum of 1 year programming experience in at least one language such as Python, Scala, or Go.
At least 1 year of experience in SQL and data transformation.
Experience developing distributed systems using open-source technologies like Spark.
Experience in building agents with comprehensive understanding of ontology and data security.
Experience working with relational or NoSQL databases (MySQL, MariaDB, PostgreSQL, MongoDB, Redis) in Linux environments.
Preferred experience with Azure or Google Cloud Platform environments.
Preferred knowledge of data models in Retail and Consumer Products industries.
Familiarity with agile project methodologies and concepts.
Demonstrated ability to quickly learn new technologies independently.
Excellent verbal and written communication skills, especially for technical communication.
Ability to work collaboratively in a diverse and fast-paced environment.

Responsibilities

Design and implement data platforms supporting AI products.
Develop productized and parameterized data pipelines leveraging GPUs and CPUs.
Write efficient data transformation code using Spark (Python and Scala) and Dask.
Build automated workflows for data pipelines using Python and Argo.
Create and maintain data validation tests to ensure input data quality.
Conduct performance testing and profiling using various tools and techniques.
Develop frameworks to automate high-volume and real-time data delivery for the data hub.
Operationalize scalable data pipelines to support data science and advanced analytics.
Optimize customer data science workloads and manage cloud service costs and utilization.
Oversee development activities of other engineers on the team.
Communicate effectively with clients and internal teams to align on technical requirements and progress.

Benefits

Competitive base salary with annual pay range from $67,120 to $100,680 CAD.
Performance-based annual cash incentive target of 5% of base pay.
Comprehensive and competitive benefits program including healthcare and wellness offerings.
Access to inclusion networks and continued learning and development opportunities.
Community service days in addition to traditional insurance, parental leave, employee assistance program, and paid time off (benefits vary by country).
Hybrid work environment supporting work-life balance.

Equal Opportunity

Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other basis prohibited by law. We are committed to providing reasonable accommodations to individuals with disabilities throughout the application and employment process. We ensure that all employees have equal access to participate in the job application, interview process, and receive the benefits and privileges of employment.

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More about this job

Responsibilities

Design and implement data platforms for AI products, including parameterized data pipelines, automated workflows, data validation, and scalable data delivery. Optimize data science workloads and cloud utilization, oversee other engineers’ development work, and coordinate technical requirements and progress with clients and internal teams.

Requirements

A bachelor’s degree or higher in Computer Science, Engineering, or a related field is required, along with at least one year of programming experience and one year of SQL and data transformation experience. Candidates should have experience with Spark-based distributed systems, agents, databases in Linux environments, and strong technical communication skills; Azure or Google Cloud experience is preferred.

Skills

Python
Scala
Go
SQL
Apache Spark
Dask
Argo
Azure Data Factory
Informatica
Apache Airflow
Data Pipeline Development
Data Transformation
Distributed Systems
Relational and NoSQL Databases
Data Validation
Cloud Cost Optimization

Benefits

Performance-Based Annual Cash Incentive
Healthcare
Wellness Offerings
Learning and Development Opportunities
Community Service Days
Insurance
Parental Leave
Employee Assistance Program
Paid Time Off

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Artificial Intelligence
AI Products
Data Platforms
Data Pipelines
Python
Scala
Go
SQL
Apache Spark
Dask
Argo
Azure Data Factory
Informatica
Apache Airflow
GPU
CPU
Data Orchestration
Data Validation
Performance Testing
Profiling
Data Science
Advanced Analytics
Relational Databases
NoSQL Databases
MySQL
MariaDB
PostgreSQL
MongoDB
Redis

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