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Added 2 months ago
Senior, AI & Data Science
Artefact
Montreal, QC
Proficiency in Python (scikit-learn, XGBoost; PyTorch a strong plus) and solid SQL.
Added 1 month ago
RA
Staff Embedded Software Engineer, Virtualization
Rivian and Volkswagen Group Technologies
Remote, Canada
- $137,300 to $181,890 USD / year
- Full-time
- Remote
As a Staff Embedded Software Engineer, you will transform real-world ECU firmware into high-performance virtual devices that run on everyday workstations and cloud servers. Your work closes…
Added 1 month ago
V
Sr Data Engineer, Specialist
Vanguard
Toronto, ON
- Full-time
We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data
Added 2 months ago
IT Industrial CrossFunction - Full Stack & AI Integration
Amrize
Mississauga, ON · Laval, QC
The Industrial IT Full Stack / Back End & AI Integration Snr. Engineer role is to contribute her/his skills to the development of company Industrial Solutions including AI-powered features…
Added 2 months ago
AI & Agentic Engineer, Senior
Artefact
Montreal, QC
Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production.
Added 2 months ago
A
Associate Software Engineer (Winter 2027)
AltaML
Calgary, AB · Edmonton, AB · Toronto, ON
- Internship
As an Associate Software Engineer you’ll play a hands-on role in building and scaling our agentic platform - an intelligent, adaptive system designed to automate workflows and power smarter…
Added 1 month ago
B
Senior Platform Engineer
Buyerlink
Victoria, BC
- Full-time
…legacy workload still on AWS. We are hiring a Senior Platform Engineer to join the team that builds and runs those…
Added 2 months ago
JG
Senior Machine Learning Engineer
J&M Group
Toronto, ON
- Full-time
The ideal candidate will have strong hands-on experience building, deploying, and operationalizing machine learning solutions in cloud environments, with expert knowledge of SQL and Python…
Added 1 month ago
Agentic AI Engineer/Architect - FTA
SIA Innovations INC
Montreal, QC
FORWARD - DEPLOYED Engineer · Montréal, QC · Full-Time, Permanent · 100% On-Site · Start Date: September 14, 2026
Added 1 month ago
SAP iXp Intern - CX Cloud Operation, Platform Developer (AIOps)
SAP
Montreal, QC
Familiarity with Python for data processing or automation is a plus
Added 4 months ago
WI
Firmware Engineer
Work in Ottawa
Ottawa, ON
- Full-time
We are excited to partner with AttoTude to attract top talent for Firmware Engineer.
Added 1 month ago
B
Senior Platform Engineer - Terraform, Azure
BDO
Oakville, ON · Ottawa, ON · Toronto, ON
- Full-time
BDO Digital is looking for a replacement Senior Platform Engineer to join our team. This is enterprise-scale platform solutioning, not single-application DevOps. You will build a platform…
Added 1 month ago
S
Senior Data Engineer
Super.com
Remote, Canada
- Full-time
- Remote
5+ years of software/data engineering experience with expert hands-on Python and SQL practice
Added 1 month ago
O
Test Engineer
ORBCOMM
Ottawa, ON
- $75,000 to $95,000 CAD / year
- Full-time
…products perform at their best? At ORBCOMM, we're looking for a hands-on Test Engineer to design, develop, and support automated test solutions used throughout product development,…
Added 1 month ago
S
Intermediate / Senior Product Engineer
Symend
Remote, Canada
- Full-time
- Remote
…implementation where you build and ship it. You’re not a PM who hands off to engineering. You’re not an engineer who gets handed a spec. You do both, and you’re accountable for whether the…
Added 1 month ago
GD
Junior Hardware Engineering Developer, FPGA
General Dynamics Missions System International
Ottawa, ON
- Full-time
Engineer, implement, and optimize FPGA-based solutions using Vivado, focusing on VHDL and HLS code development.
Added 2 months ago
EE
GTM Engineer (Lead)
Edgecom Energy
Toronto, ON
- $150,000 to $180,000 CAD / year
- Full-time
…The team grows when the machine’s unit economics justify more hands, and you’ll make that case with…
Added 1 month ago
P
Principal AI Engineer
PointClickCare
Mississauga, ON
- Full-time
PointClickCare is searching for a Principal AI Engineer who will lead and design AI systems across multiple SaaS solutions following our AI Design Patterns, defining technical standards and…
Added 1 month ago
GD
Co-op Winter 2027 - Software Developer - 8 Months
General Dynamics Missions System International
Ottawa, ON
- Internship
The Applications team for the Land C5ISR Program is looking for a Co-op Software Engineer to join our team. We develop and integrate various software products that enable the Canadian Army…
Added 1 month ago
Senior Data Engineer - Vancouver
Capgemini
Vancouver, BC
…Fabric, including Azure Data Factory, PySpark, Spark SQL, and Python. Develop and maintain ETL/ELT processes to ingest, transform, and load data from multiple sources into data warehouses,…
Added 2 months ago
D
AI Research Engineer
Deloitte
Toronto, ON
- Full-time
We are looking for a passionate AI Research Engineer to join our team. You will work at the intersection of cutting-edge AI research and product engineering - designing, evaluating, and…
Added 2 months ago
D
Sr Data Scientist / Power Systems Analyst
Deloitte
Toronto, ON
- Full-time
Deloitte's Artificial Intelligence & Data practice is comprised of specialized experts with hands-on experience, and cutting-edge information assets that facilitate successful Artificial…
Added 1 month ago
X
Lead Engineer - AI Workflows
Xero
Vancouver, BC
- Full-time
As a Lead Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero’s transformation into an AI-native company. You will act as a forward-deployed engineer,…
Added 1 month ago
S
Senior DevOps Engineer
SOVRA
Remote, Canada
- Full-time
- Remote
SOVRA is adding a Senior DevOps Engineer to support the engineering team responsible for its public sector platform. This role was created to meet the operational demands of a growing cloud…
Added 1 month ago
V
Staff Infrastructure Engineer
VGS
Canada
- Full-time
…consistent modern stack (e.g. AWS, Kubernetes, Java, TypeScript, Python) and world-class AI-augmented SDLC tooling. We strip away the friction so you can focus on the problems that demand…

Vanguard

Sr Data Engineer, Specialist

Toronto, ON, Canada

Expected Salary Range: $90,000-$140,000 · Full-time

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Job details

Pay: Expected Salary Range: $90,000-$140,000
Job type: Full-time
Apply by: Nov 2, 2026
Posting language: English
Posted: Sep 3, 2026

Original job description

We are looking for a Sr Data Engineer with in-depth expertise in AWS, Databricks, and modern data
architecture and data modeling to help build the next generation of our data foundation , including data
platforms such as Advisor360, CRM integrations, ETF/MF data pipelines, and other enterprise analytics assets.

This is a senior, highly autonomous role. You will operate as a technical consultant and data architecture
thinker, working closely with stakeholders to understand ambiguous business needs, conduct independent
investigations, and design solutions that are scalable, reliable, and aligned to both business and technology
goals.

Ideal candidates have 5+ years of data engineering experience and thrive in environments where they drive
clarity, define standards, and elevate engineering best practices across the team

Responsibilities:

Data Engineering & Architecture:

Design, build, and optimize scalable, secure, and repeatable data pipelines using AWS (S3, Glue, Lambda, Step Functions, Redshift, IAM) and Databricks (PySpark, Lakeflow, Delta Lake, Unity Catalog).

Serve as the technical leader for data ingestion pipelines, modeling new datasets such as Advisor360, CRM, ETF, and Mutual Fund platforms.

Apply strong data modeling (dimensional, canonical, and domain-driven) principles to support analytics, reporting, and AI/ML use cases.

Ensure alignment with enterprise data architecture standards, promoting reusability, governance, and long-term maintainability.

Consultative Problem Solving:

With limited guidance, independently perform deep investigations, identify data issues, and propose solutions that balance performance, cost, risk, and business needs.

Engage business stakeholders to gather ambiguous requirements, ask the right questions, and translate them into clear technical designs.

Provide thought leadership and recommend technical patterns, frameworks, and toolsets.

Data Quality, Reliability & Operations:

Implement robust data quality frameworks, monitoring, and alerting to ensure high trust in business-critical data assets.

Troubleshoot data inconsistencies and ensure proper logging, testing, and recovery mechanisms across pipelines.

Lead regression testing, software upgrades, and production deployments with strong change control discipline.

Collaboration & Leadership:

Lead all phases of solution development - from design to deployment and operationalization.

Mentor and guide other engineers in coding standards, architecture patterns, Databricks best practices, and AWS platform usage.

Partner with Data Architecture, Analytics, Product, and Business teams to deliver solutions that improve decision-making.

Provide training sessions and documentation to uplift the data engineering maturity across the organization.

Special Projects:

Participate in strategic initiatives such as AI readiness, data unification efforts, metadata strategy, and enterprise integration roadmaps.

Drive continuous improvement in engineering frameworks, onboarding workflows, and platform capability.

Required Skills:

5+ years of experience in data engineering, data architecture, or large-scale distributed data systems.

Expert-level experience with cloud platforms such as AWS, GCP, or Azure, leveraging services for data storage, ingestion, pipeline orchestration, database or lake house management, data transformation.

5+ years of hands-on experience designing, developing, and supporting enterprise-scale data pipelines on the Databricks Lakehouse platform using PySpark, Delta Lake, Databricks Workflows, and Lakeflow Declarative Pipelines

Strong background in data modeling (dimensional, canonical, data vault, or domain-driven).

Proven ability to work independently with minimal direction and deliver high-quality solutions in ambiguous environments.

Demonstrated experience translating complex business problems into scalable technical solutions.

Strong SQL and Python skills, with emphasis on ETL/ELT pipeline development.

Experience with CI/CD, GitHub, DevOps workflows, and automated testing.

Preferred Skills:

Experience in asset management, wealth management, or financial services (ETF, Mutual Funds, CRM, Advisor analytics).

Experience with enterprise data quality tools and metadata management concepts.

Familiarity with modern semantic layers, dbt, or domain-oriented data mesh concepts.

Undergraduate degree or equivalent professional experience in Computer Science, Engineering, Information Systems, or related field.

Pay Transparency

Expected Salary Range: $90,000-$140,000

Our compensation ranges are based on role, level, and local market. Individual pay within the range is determined by factors such as job-related skills, experience, and relevant education or training. For part-time roles, pay will be pro-rated based on regularly scheduled hours.

In addition to the range above, Vanguard’s total compensation package may include performance-based incentives, discretionary bonuses, and other perks. We also offer comprehensive benefits such as health insurance, accident and life insurance, and retirement savings plans. Your recruiter will be able to provide additional details on the total compensation offering during the hiring process.

AI Disclosure Statement
Vanguard does not use artificial intelligence (AI) or automated decision-making tools in its recruitment process. All application reviews and hiring decisions are made by our recruitment team.

Accommodations

Vanguard is committed to fostering an accessible and inclusive workplace. We are committed to providing barrier-free and accessible employment practices in compliance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code. If you require accommodation at any stage of the recruitment process, please inform us. We will work with you to meet your needs, and you can reach us at americas_crewcentral@vanguardhr.com , quoting the job ID and job title.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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More about this job

Responsibilities

Design, build, and optimize scalable data pipelines using AWS and Databricks while serving as a technical leader for enterprise data assets. Collaborate with stakeholders to translate ambiguous business needs into reliable, high-quality technical solutions.

Requirements

Requires 5+ years of experience in data engineering and expert-level proficiency with cloud platforms and Databricks. Candidates must possess strong data modeling skills and the ability to work independently in complex, enterprise-scale environments.

Skills

AWS
Databricks
PySpark
Data modeling
Data engineering
Python
SQL
Delta Lake
ETL/ELT
CI/CD
DevOps
Data architecture
Cloud platforms
Distributed data systems
Data quality
Technical consulting

Benefits

Health insurance
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

AWS
Databricks
PySpark
Delta Lake
S3
Glue
Lambda
Redshift
Unity Catalog
Data modeling
Dimensional modeling
Data vault
ETL
ELT
CI/CD
GitHub
DevOps
Python
SQL
Data mesh
dbt
Metadata management
Data quality
Financial services
Asset management
Wealth management
Data pipelines
Cloud computing
Lakehouse
Enterprise architecture

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