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Added 2 hours ago
C
GTM Engineer
Chatbase
Toronto, ON
- $110,000 to $160,000 CAD / year
- Full-time
→ The GTM stack: CRM, automation and reporting, so sales and growth can move faster.
Added 3 hours 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 4 hours ago
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Data & AI Engineer
Wiraa
Canada
- Full-time
…award-winning portfolio of connected frontline, asset visibility, and automation solutions. Our innovative products and services empower organizations across various industries including…
Added 4 hours ago
PD
Sales and Account Manager Director
Planet DDS
Ottawa, ON
- Full-time
…scale. From practice management to imaging to revenue cycle automation, we’re tearing down the old infrastructure and rebuilding the future of dentistry. Planet DDS is the fastest-growing…
Added 5 hours ago
A
Ingenieur Mecanique - Mechanical Engineer
Actalent
Terrebonne, QC
- $46 to $77 CAD / hour
- Contract
…bearings, and other mechanical components. Collaborate closely with automation, electrical, manufacturing, and project teams to ensure seamless integration and functionality of…
Added 6 hours ago
Software Engineer I
Planview Incorporated
Vancouver, BC
This role is ideal for an early-career engineer who enjoys solving technical challenges, building automation, leveraging AI-assisted development practices, and learning modern cloud and…
Added 7 hours ago
J
Senior Orbit Dynamics & Mission Analysis Engineer
Jobgether
Canada
- Full-time
…partner is looking for a Senior Orbit Dynamics & Mission Analysis Engineer based in…
Added 7 hours ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Senior Software Engineer, you will be a hands-on technical leader working across the PowerPoint for the web stack. You will design and deliver end-to-end AI-powered features, from…
Added 7 hours ago
Q
Verification Engineer, Senior
Qualcomm
Toronto, ON
- Full-time
…create a smarter, connected future for all. As a Qualcomm ASIC Engineer, you will define, model, design (digital and/or analog), optimize, verify, validate, implement, and document IP…
Added 8 hours ago
J
Lead Product Manager, Technical
Jobgether
Canada
- Full-time
Preferred engineering background: Previous experience as a software engineer or in another technical role is an advantage.
Added 8 hours ago
J
Senior Orbit Dynamics & Mission Analysis Engineer
Jobgether
Canada
- Full-time
…partner is looking for a Senior Orbit Dynamics & Mission Analysis Engineer based in…
Added 8 hours ago
A
AI Architect, Manager
Avanade
Toronto, ON
- Full-time
Partner closely with our AI, IoT, and Intelligent Automation team and Solution Architects to translate the customer's business requirements to define AI & IoT value proposition and solution…
Added 8 hours ago
GC
Rust Backend Architect - AI Training Projects
Gramian Consulting Group
Remote, Canada
- Contract
- Remote
Added 9 hours ago
RI
AI Engineer
Remarcable, Inc.
Remote, Canada
- Full-time
- Remote
…inventory and tool tracking, prefab requisitions and invoice automation into one place, connecting field crews, warehouses, purchasing teams and suppliers in real time. We were founded by…
Added 9 hours ago
N
Senior Data Reliability Developer
nesto
Canada
- Full-time
…won't just be "checking results"; you will be a specialized engineer focused on the integrity, reliability, and scalability of our data pipelines. You will collaborate closely with Data…
Added 9 hours ago
C
Solutions Designer, Splunk Montreal, Quebec, Canada
Cisco
Montreal, QC
- Full-time
Splunk is seeking a highly skilled and strategic Senior Solutions Engineer to join our Eastern Canada team. Splunk, a Cisco company, is building a safer and more resilient digital world…
Added 9 hours ago
Three (3) Engineers
Toronto Hydro
Toronto, ON
Role Title: Engineer (Standards - Underground) & Engineer (Standards - Overhead)
Added 10 hours ago
AP
Senior Data Engineer
Alpine Peak Management
Toronto, ON
- Contract
We are seeking a hands-on Senior Data Engineer for a contract opportunity supporting key enterprise data initiatives within a financial services environment.
Added 10 hours ago
AI
Forward Deployed Engineer (Python/Pyspark Developer)
Apptoza Inc.
Toronto, ON
- Full-time
Role: Forward Deployed Engineer (Python/Pyspark Developer)
Added 10 hours ago
A
Sr. Mechanical Designer
Actalent
Cambridge, ON
- $45 to $65 CAD / hour
- Contract
Job Title: Mechanical Designer Custom Automation Equipment
Added 10 hours ago
A
Software Development Engineer In Test
Actalent
Ottawa, ON
- $45 to $65 CAD / hour
- Contract
Job Title: Software Development Engineer in Test (Python)
Added 11 hours ago
Forward Deployed AI Engineer Sr - Analytics
Dayforce
Canada
We are looking for a Senior Forward Deployed AI Engineer, Analytics to partner directly with analytics teams and business stakeholders to turn high-value analytical problems into practical,…
Added 11 hours ago
TI
Software Engineer
Trimble Inc.
Kamloops, BC · Canada - Kamloops, BC
- Full-time
Accelerate the Future of AI-Driven Engineering as our next AI Agentic Software Engineer (P3)
Added 11 hours ago
TR
Privacy Operations Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Maintain governance over report definitions and automation/trigger rule changes so metrics and workflows remain consistent and trustworthy over time.
Added 11 hours ago
OB
Marketing Technology Lead Developer
O2E Brands
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…infrastructure that powers customer data collection, event tracking, automation, personalization, and cross-channel Agentic…

Wiraa

Data & AI Engineer

Canada

Full-time

Apply About employer

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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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