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Added 2 days ago
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Associate Applications Engineer
Semtech
Burlington, ON · CAN - Burlington, ON
- Full-time
The Applications Engineer supports our data communications business in delivering high quality, customer-focused solutions. The successful candidate will work alongside senior team members…
Added 2 days ago
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Data AI Engineer
Zodiac Solutions, Inc
Mississauga, ON
- Full-time
Added 2 days ago
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MONTREAL [hybrid] - MLOps Engineer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for an MLOps Engineer for one of our clients, an investment bank set in Montreal
Added 2 days ago
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AI Engineer
Altimetrik
Mississauga, ON
- Full-time
Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
Added 2 days ago
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Staff Software Engineer
Magnet Forensics
Canada
- Full-time
We’re looking for a seasoned Staff Software Engineer who thrives on technical depth and broad influence. You’re as comfortable designing architecture as you are shipping code, and you care…
Added 2 days ago
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Artificial Intelligence Engineer
TechNeptune Consulting Inc.
Mississauga, ON
- Full-time
Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
Added 2 days ago
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GenAI Prompt Engineer
Open Systems Technologies
Montreal, QC
- Contract
The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be…
Added 2 days ago
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AWS Cloud Architect
Ardent SoftSol Inc.
Mississauga, ON
- $50 to $55 CAD / hour
- Contract
Establish developer portal and API onboarding processes.
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AWS / API lead and Architect
J&M Group
Mississauga, ON
- Contract
AWS AWS Certified Solutions Architect Professional AWS Certified DevOps Engineer Professional AWS Certified Developer Associate
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Sr. Software Engineer-MANO
Aarorn Technologies Inc
Toronto, ON
- $50 CAD / hour
- Contract
We are seeking a skilled Software Developer with a strong background in IBM Datastage to join our dynamic team in Toronto. The ideal candidate will have a proven track record in software…
Added 2 days ago
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Artificial Intelligence Engineer
Digivance Solutions
Toronto, ON
- Full-time
We’re looking for a hands-on AI Engineer to build production AI agents, LLM-powered applications, and intelligent retrieval systems that solve real business problems.
Added 2 days ago
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AWS Data Engineer
Insight Global
Toronto, ON
- $55 to $65 CAD / hour
- Contract
We are seeking a Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments…
Added 2 days ago
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Lead Software Engineer, Full-Stack Applications - AI Fluent
Fitch Group
Toronto, ON
- $180,000 to $220,000 CAD / year
Lead Software Engineer, Full-Stack Applications – AI Fluent
Added 2 days ago
Sr Staff. Software Engineer
Kaseya Careers
Toronto, ON
We’re hiring a Senior / Staff Backend Engineer to lead the design and delivery of SaaS products powered by data, machine learning, and AI. This is a hands-on role focused on building…
Added 2 days ago
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Software Engineer Manager
symplistic.ai
Woodbridge, ON
- $150,000 CAD / year
- Full-time
Build Python/React applications, backend services, APIs, and enterprise integrations.
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Sensor Engineer
RBR
Ottawa, ON · Greater Ottawa Metropolitan Area
- $75,000 to $115,000 CAD / year
- Full-time
As a Sensor Engineer at RBR, you will specify, develop, and bring to life the sensor technology that measures the ocean environment. Working hands-on alongside specialists in firmware,…
Added 2 days ago
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Senior Full-Stack Java Developer (Front-Office / Capital Markets)
Rose International
Mississauga, ON
- Full-time
8+ years of professional software engineering experience, with demonstrable experience as a Full-Stack Developer transitioning into a Forward Deployed Engineer-style, customer-facing…
Added 2 days ago
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Site Reliability Engineer - Application Security
ContactMonkey
Toronto, ON
- $130,000 to $150,000 CAD / year
- Full-time
Deployments & developer experience: Improve CI/CD pipelines, deployment automation, release checks, and rollback procedures.
Added 2 days ago
HB
Data Engineer - Up to $200k CAD + Bonus
Hunter Bond
Montreal, QC
- Full-time
We are looking for a Data Engineer / Database Developer (2–5 years’ experience) to join a growing data team. You will be responsible for designing, building, and optimising scalable…
Added 2 days ago
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Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Experience building applications with C++, Go, or Python.
Added 2 days ago
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Software Engineer - C++/Linux -AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Experience building applications with C++, Go, or Python.
Added 2 days ago
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Forward Deployed Engineer - AI Inference Systems Research
Nutanix
Vancouver, BC
- $132,000 to $198,000 CAD / year
- Full-time
As an entry-level Forward Deployed Engineer based out of our Vancouver office, you will bridge the gap between Nutanix AI product engineering, cutting-edge systems research, and enterprise…
Added 2 days ago
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Algorithm Software Engineer
Garmin Canada
Cochrane, AB
- Full-time
Design innovative algorithms and prototype them in python
Added 2 days ago
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Intermediate Software Engineer
AltaML
Calgary, AB
- $90,000 to $110,000 CAD / year
- Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 2 days ago
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Data & AI Engineer
Wiraa
Canada
- Full-time
We are seeking a skilled Data & AI Engineer to join our team in Mississauga, CA, working in a hybrid model (3 days in office, 2 days remote). In this role, you will be responsible for…

Wiraa

Data & AI Engineer

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 26, 2026

Original job description

About The Company

Zebra Technologies is a global leader dedicated to enabling intelligent operations through an award-winning portfolio of connected frontline, asset visibility, and automation solutions. Our innovative products and services empower organizations across various industries including retail, manufacturing, transportation, logistics, and healthcare to improve productivity and drive innovation. At Zebra, we foster a culture of curiosity, collaboration, and caring, where diverse perspectives are valued and employees are empowered to make a meaningful impact. Being part of Zebra Nation means you are seen, heard, respected, and supported as you define your career path in a forward-thinking environment. Learn more about our commitment to shaping the future of work at zebra.com.

About The Role

We are seeking a skilled Data & AI Engineer to join our team in Mississauga, CA, working in a hybrid model (3 days in office, 2 days remote). In this role, you will be responsible for designing and building data pipelines that support AI product development and client requirements. You will oversee the work of other engineers, ensuring high-quality, scalable, and efficient data integration solutions. The ideal candidate will have a strong background in databases, SQL, cloud technologies, and modern data orchestration tools such as Azure Data Factory, Informatica, and Airflow. You will play a critical role in developing data transformation code using Spark (Python and Scala) and Dask, automating workflows, validating data quality, and optimizing data science workloads while managing cloud service costs. This position offers the opportunity to work on cutting-edge AI platforms and collaborate with a diverse team in a fast-paced, innovative environment.

Qualifications

Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
Minimum 1 year of experience programming in Python, Scala, or Go.
Minimum 1 year of experience in SQL and data transformation.
Minimum 1 year of experience developing distributed systems using open-source technologies such as Apache Spark.
Experience building agents with comprehensive understanding of ontology and data security.
Minimum 1 year experience working with relational databases or NoSQL databases (MySQL, MariaDB, PostgreSQL, MongoDB, Redis) in Linux environments.
Preferred experience with Azure and/or Google Cloud Platform (GCP).
Familiarity with data models in retail and consumer products industries is desirable.
Experience working in agile project environments and understanding agile methodologies.
Strong verbal and written communication skills, especially in technical contexts.
Proven ability to learn new technologies quickly and work independently.
Ability to work collaboratively in a diverse team setting and achieve ambitious goals.

Responsibilities

Design and implement scalable data platforms to support AI product development.
Develop productized and parameterized data pipelines leveraging GPUs and CPUs.
Create efficient data transformation code using Spark (Python and Scala) and Dask.
Build automated workflows for data pipelines using Python and Argo.
Develop and execute data validation tests to ensure input data quality.
Conduct performance testing and profiling of data processing code using various tools.
Build 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 initiatives.
Optimize customer data science workloads and manage cloud service costs and utilization.
Collaborate effectively with clients and internal teams to meet technical requirements and project goals.
Oversee and mentor other engineers to ensure quality and timely delivery of solutions.

Benefits

Competitive base salary with annual incentive compensation targeting 5% of base pay.
Comprehensive healthcare and wellness programs tailored to employee needs.
Inclusive networks and community service days supporting diversity and social impact.
Robust learning and development opportunities to support continuous career growth.
Parental leave, employee assistance programs, and paid time off based on location.
Flexible hybrid work model promoting work-life balance.
Access to cutting-edge technologies and innovative projects in AI and data engineering.

Equal Opportunity

Zebra Technologies 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 for individuals with disabilities throughout the application and employment process. If you require assistance, please contact us at workplace.accommodations@zebra.com.

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More about this job

Responsibilities

Design and operate scalable data platforms and automated pipelines for AI products, using Spark, Dask, Python, and Argo to transform, validate, and deliver data. Optimize data science workloads and cloud costs, collaborate with clients and internal teams, and oversee and mentor engineers to ensure high-quality, timely solutions.

Requirements

Requires a bachelor's degree or higher in computer science, engineering, or a related field, plus at least one year of experience in programming, SQL and data transformation, distributed systems such as Spark, and relational or NoSQL databases in Linux environments. Candidates should understand agent development, ontology, and data security; Azure or GCP experience, retail data familiarity, agile experience, and strong communication and independent learning skills are also sought.

Skills

Python
Scala
Go
SQL
Apache Spark
Dask
Azure Data Factory
Informatica
Airflow
Argo
Data Pipelines
Data Transformation
Relational And NoSQL Databases
Cloud Technologies
Data Validation
Agile Methodologies

Benefits

Annual Incentive Compensation
Healthcare
Wellness Programs
Learning And Development
Parental Leave
Employee Assistance Programs
Paid Time Off
Flexible Hybrid Work Model

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Data Engineering
Data Platforms
Data Pipelines
Python
Scala
Go
SQL
Apache Spark
Dask
Azure Data Factory
Informatica
Airflow
Argo
Azure
Google Cloud Platform
Relational Databases
NoSQL Databases
MySQL
MariaDB
PostgreSQL
MongoDB
Redis
Linux
Data Transformation
Data Validation
Distributed Systems
Ontology
Data Security
Agile Methodologies

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