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Added 3 hours ago
P
AI Solutions Engineer - Intellectual Property
Patsnap
Toronto, ON
- $80,000 to $95,000 CAD / year
- Full-time
Added 4 hours ago
SP
Customer Success Manager
Salesforce Partner Canada
Toronto, ON
- Full-time
Collaborative Learning: Actively seeking out "Agentblazer" training and certifications to stay current on autonomous agent capabilities.
Added 8 hours ago
TI
Cyber Security Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Coordinate research and engineering initiatives involving AI red teaming, autonomous penetration testing, agent security, and AI-native security tooling.
Added 8 hours ago
B
Staff Software Development Engineer – Linux Endpoint
BeyondTrust
Canada
- Full-time
…in-kernel, whether to permit or deny each action an identity or AI agent attempts on a Linux…
Added 8 hours ago
D
Director, Product Design
Deel
Canada
- Full-time
…checking their benefits, a manager making a hire, and an ops agent resolving a ticket can all experience a different Deel. Closing that gap means aligning multiple teams, roadmaps, and…
Added 8 hours ago
PC
Deals - Deal Valuation - Senior Associate
PwC Canada
Toronto, ON
- Full-time
Added 8 hours ago
H
Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Added 8 hours ago
KG
Agent & DevOps Platform Engineer
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Strong proficiency in Python for automation, API integrations, infrastructure tooling, agent services, and production scripting
Added 8 hours ago
KG
AI Platform Engineer – DevOps & LLMOps
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Strong proficiency in Python for automation, API integrations, infrastructure tooling, agent services, and production scripting
Added 8 hours ago
AT
Artificial Intelligence Engineer
Arkhya Tech Inc.
Canada
- Full-time
Design and develop agentic workflows using Vertex AI and Agent Builder
Added 8 hours ago
FF
Genesys Systems Engineer
Forward Financing
Remote, Canada
- $105,000 to $128,000 CAD / year
- Full-time
- Remote
Implement simple features and scalable solutions to business and technical problems to enhance the customer and agent experience.
Added 8 hours ago
D
Director, Partner Solution Engineer
Docker
Remote, Canada
- Full-time
- Remote
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's…
Added 11 hours ago
P
Deals - Deal Valuation - Senior Associate
PwC
Toronto, ON
- Full-time
Added 11 hours ago
W
Manager, Machine Learning Engineering - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and…
Added 13 hours ago
Software Engineering Intern (2027)
Databricks
Vancouver, BC
…Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and…
Added 13 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with strong hands-on experience in Microsoft Dynamics 365, Power Platform, Azure, and Dataverse, along with proven Technical Lead…
Added 13 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with strong hands-on experience in Microsoft Dynamics 365, Power Platform, Azure, and Dataverse, along with proven Technical Lead…
Added 13 hours ago
H
Senior Data Scientist
Hays
Toronto, ON
- Contract
Added 13 hours ago
G
Account Executive, Expansion L2
Gorgias
Toronto, ON
- Full-time
At Gorgias, we’re building the platform that makes this real: a unified AI agent that sells, supports, and re-engages customers across the entire journey. Conversational Commerce is the…
Added 13 hours ago
H
Data Scientist
Hays
Toronto, ON
- Contract
Implement prompt engineering, vector search, embeddings, and agent orchestration techniques.
Added 14 hours ago
Director of Operations
Industrial Electric Manufacturing
Surrey, BC
A proven Change Agent that has the maturity and confidence to lead and influence others.
Added 15 hours ago
AS
Software Developer
AgileGrid Solutions
Canada
- Full-time
McKesson is seeking a Sr. Software Developer to design, build, and scale modern software solutions that support healthcare technology innovation. In this role, you will help deliver secure,…
Added 15 hours ago
S
Customer Success Manager
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
Collaborative Learning: Actively seeking out "Agentblazer" training and certifications to stay current on autonomous agent capabilities.
Added 16 hours ago
G
AI Engineer
Guidepoint
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…using vector databases (e.g., Pinecone, Elasticsearch), multi-agent AI systems with tool calls, and prompt engineering is…
Added 16 hours ago
M
Senior Manager of Software Engineering
Morningstar
Toronto, ON
- Full-time
Own the engineering environment that makes agent-authored work trustworthy: context, standards enforced through automated checks, and feedback that catches defects before human review.…

Jobright.ai

Data Engineer (Early Career) (Canada)

Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: Recent graduate or early-career professional (0–2 years of experience) with a degree in Computer Science, Data Engineering, or a related technical field
Posting language: English
Posted: Sep 29, 2026

Original job description

Jobright is your personal AI job search agent transforming the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality and collaborating with analytics and product teams.

Why Join Us

Build real, production AI agents used by real users

High ownership and impact

Work at the intersection of AI, agents, and product

Shape how people experience AI-driven job search

Responsibilities

Design and build reliable data pipelines that move data from diverse sources into centralized warehouses and lakes for downstream consumption

Own the full lifecycle of ETL/ELT processes, from schema design and ingestion to transformation, testing, and deployment

Ensure data quality and consistency by implementing validation checks, anomaly detection, and automated alerting across critical pipelines

Partner with analytics, data science, and product teams to understand their data needs and deliver clean, well-documented datasets

Optimize query performance, storage costs, and pipeline reliability as data volumes and complexity grow

Qualification

Required

Recent graduate or early-career professional (0–2 years of experience) with a degree in Computer Science, Data Engineering, or a related technical field

Strong proficiency in Python and SQL, with hands-on experience writing and debugging data transformation logic

Practical understanding of data modeling, warehouse design patterns, and the trade-offs between batch and streaming architectures

Solid software engineering foundations, including comfort with APIs, version control (Git), and writing testable, production-ready code

Preferred

Previous internship or project experience building end-to-end data pipelines or managing datasets at non-trivial scale

Familiarity with cloud data platforms such as Snowflake, BigQuery, Redshift, or Databricks

Hands-on exposure to orchestration tools like Airflow, dbt, or Prefect, and streaming technologies like Kafka or Spark Streaming

Curiosity about how data powers product decisions, and a willingness to dig into messy, ambiguous data problems

Apply About employer

More about this job

Responsibilities

Design, build, and manage reliable data pipelines and ETL/ELT processes, including ingestion, transformation, testing, and deployment. Maintain data quality and documentation, collaborate with analytics, data science, and product teams, and optimize query performance, storage costs, and pipeline reliability.

Requirements

Candidates should be recent graduates or early-career professionals with 0–2 years of experience and a degree in Computer Science, Data Engineering, or a related technical field. Required qualifications include strong Python and SQL skills, knowledge of data modeling and warehouse design, understanding of batch and streaming trade-offs, and solid software engineering foundations; experience with pipelines, cloud data platforms, orchestration, or streaming tools is preferred.

Skills

Python
SQL
Data Pipeline Development
ETL/ELT
Data Modeling
Data Warehousing
Data Quality
Data Validation
Anomaly Detection
Query Optimization
APIs
Git
Cloud Data Platforms
Workflow Orchestration
Batch and Streaming Architectures

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Data Engineering
Data Pipelines
ETL/ELT
Data Ingestion
Data Transformation
Data Modeling
Data Warehousing
Data Lakes
Data Quality
Data Validation
Anomaly Detection
Automated Alerting
APIs
Git
Snowflake
BigQuery
Redshift
Databricks
Airflow
dbt
Prefect
Kafka
Spark Streaming
Batch Processing
Streaming Architectures
Query Optimization
Analytics
Data Science

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