Data engineering (ELT/ETL, Amazon Redshift, DBT, SQL, Python, AWS, Databricks) jobs in Canada

Business Information Management Specialist-2

TD · Posted Nov 9, 2026

Open

Toronto, Ontario, Canada
Full-time · Senior
CA$97K–CA$137K per year
7+ years

Business Information Management Specialist-2

TD · Posted Nov 9, 2026

Open

Toronto, Ontario, Canada
Full-time · Senior
CA$97K–CA$137K per year
7+ years

Director, AI Engineering

Sun Life · Posted Nov 6, 2026

Open

Toronto, Ontario, Canada
Hybrid
Full-time · Director
CA$135K–CA$195K per year

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The Director of AI Engineering, Corporate IT leads the engineering of artificial intelligence for internal enterprise delivery, from strategy and architecture through production delivery. This role builds secure, scalable and responsible AI capabilities that modernize enterprise systems, automate IT operations and improve employee productivity.

Compensation

A competitive salary and bonus program, based on market scale The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results. Salary Range: 135,000/135 000 - 195,000/195 000

Responsibilities

Own the Corporate IT AI strategy and roadmap, aligned with CIO and enterprise priorities
Lead intake, value assessment and prioritization of AI use cases across functions such as Actuarial, Risk, Compliance, Human Resources, Finance, Legal, Procurement etc
Manage AI licensing, vendor contracts and cloud spend within the IT budget
Rationalize AI tools, reduce duplication and address unapproved or shadow AI use
Assess emerging capabilities, including copilots, agents and SaaS AI features, for enterprise fit

Requirements

Degree or advanced education in computer science, software engineering, data science, machine learning or a related discipline

Skills

Python

Staff Data Engineer

DAT · Posted Nov 8, 2026

Open

Denver, Colorado, United States +5 more
Hybrid
Full-time · Staff
$173K–$216K per year
7+ years

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Staff-level role focused on leading design and evolution of modern data platform architecture, implementing advanced architectural patterns, and managing enterprise-scale distributed systems infrastructure.

Locations (6)

Denver, Colorado, United States
Portland, Oregon, United States
Seattle, Washington, United States
Springfield, Missouri, United States
Toronto, Ontario, Canada

Senior Machine Learning Engineer

Wiser Solutions · Posted Nov 6, 2026

Open

Remote, Canada
Remote
Full-time · Senior
CA$160K–CA$200K per year
7+ years

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Senior ML Engineer to build customer-facing AI platform and deliver production ML systems

Compensation

For this position, our hiring range for base annual pay is estimated to be CAD $160-200k at the time of this posting

Responsibilities

Take customer problems from idea to working prototype quickly, prove or kill an approach with data, and move what works into production
Train, fine-tune, and evaluate models for matching, classification, and extraction problems
Design and ship RAG systems, embedding-based retrieval, and LLM-powered features on AWS
Own the full ML lifecycle: experiment tracking, model versioning, deployment, monitoring, and retraining
Build evaluation that tells us whether something works: labeled golden sets, offline metrics (precision, recall), LLM-as-judge where it fits, and shadow or A/B testing before rollout

Requirements

Nice to have: LLM Fine-tuning
Nice to have: Distillation
Nice to have: Quantization
Nice to have: Caching
Nice to have: Tiered Model Routing

Skills

Python Machine Learning Large Language Models

IT Product Intern - Data and Analytics - May 2027 (4-Month Term)

Parkland US People Corp · Posted Oct 14, 2026

Open

Calgary, Alberta, Canada
Contract · Intern

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The Data Product Intern will support the Data Products and Analytics team in defining, delivering, and improving trusted data products that address real business needs. This role offers hands-on experience at the intersection of data, analytics, technology, Agile product management, and business operations.

Responsibilities

Product discovery and stakeholder support
Support the Senior Product Leads in understanding business problems, user needs, expected outcomes, and measures of success
Prepare for and participate in stakeholder interviews, workshops, and working sessions
Document current processes, user pain points, business requirements, decisions, and opportunities for data, reporting, analytics, or AI-enabled solutions
Help translate business needs into clear and actionable requirements for technical delivery teams

Requirements

Information Technology
Computer Science
Data Science
Data Analytics
Information Systems

Skills

data products analytics artificial intelligence data engineering business analysis

Senior Manager, Analytics Engineering

Questrade Financial Group · Posted Nov 5, 2026

Open

North York, Ontario, Canada
Hybrid
Full-time · Manager
$170K–$200K per year
10+ years

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Define and execute the multi‑year architecture, semantic layer, and delivery strategy for customer data across Questrade, leading a high‑performing technical team while remaining hands‑on.

Compensation

Base salary range: $170,000 - $200,000. The final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.

Responsibilities

Set the multi‑year customer data architecture and analytics engineering vision
Architect and maintain the enterprise semantic layer
Define, champion, and enforce software engineering best practices within analytics
Direct complex, greenfield implementations and critical data transformations
Implement strict data governance, cost optimization, data observability, and access controls

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or equivalent practical experience
Nice to have: modern AI coding agents (Claude Code)
Nice to have: greenfield environment
Nice to have: fintech
Nice to have: banking

Skills

SQL dbt Git

Lead AI/ML Engineer

Pythian · Posted Nov 5, 2026

Open

Remote, Canada
Remote
Full-time · Lead
7–10 years

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Define the technical vision, strategy, and overall architecture for Artificial Intelligence and Machine Learning solutions. Lead engineering teams, mentor junior and mid-level engineers, and integrate advanced models like LLMs and Generative AI into enterprise products.

Responsibilities

Lead the architectural design and strategic development of high-performance AI and machine learning pipelines for complex enterprise initiatives.
Provide technical leadership, mentorship, and guidance to AI/ML engineers and data scientists.
Deploy, manage, and scale diverse AI models, including pre-trained models (e.g., LLMs, vision models) and custom ML models, into production environments.
Work with data scientists and researchers to operationalize models, transforming prototypes into resilient, production-grade AI systems.
Optimize model performance, latency, and cost-efficiency across various cloud and edge deployment targets.

Requirements

Bachelor’s or Master’s degree in Computer Science
Engineering
Artificial Intelligence
related quantitative field
Nice to have: Ph.D.

Skills

machine learning engineering software development ML/AI focus

Business Information Management Specialist-2

Business Information Management Specialist-2

Compensation

Responsibilities

Requirements

Skills

Director, AI Engineering

Compensation

Responsibilities

Requirements

Skills

Staff Data Engineer

Locations (6)

Senior Machine Learning Engineer

Compensation

Responsibilities

Requirements

Skills

IT Product Intern - Data and Analytics - May 2027 (4-Month Term)

Responsibilities

Requirements

Skills

Senior Manager, Analytics Engineering

Compensation

Responsibilities

Requirements

Skills

Lead AI/ML Engineer

Responsibilities

Requirements

Skills

Benefits

Compensation

Responsibilities

Requirements

Skills

Benefits

Benefits

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