Jobs in Canada

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Added 2 months ago
Senior Software Engineer, Data Pipelines
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 2 months ago
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Data Engineer Intern (Summer 2027)
Lyft
Toronto, ON
- $40 to $45 CAD / hour
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 2 months ago
Business Systems Engineer, Intelligent Automation
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role
Added 6 months ago
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Senior Embedded Software Designer
Lumentum
Ottawa, Ontario
- Full-time
Lumentum is looking for a Senior Embedded Software Engineer to play a leading role in the development of software for a new generation of leading-edge LiDAR products.
Added 6 months ago
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Machine Learning Engineer, Detection (TOR)
Doppel
Toronto, Ontario
- Full-time
We’re looking for a machine learning engineer to help build and scale the models and systems that power Doppel’s detection systems. Check out our blog post on how we set up our ML platform.…
Added 6 months ago
HC
Co-op Software Engineer - AI System & Infrastructure
Huawei Canada
Vancouver, British Columbia
- Internship
Huawei Canada has an immediate Co-op opening for an Engineer.
Added 6 months ago
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Sr. Staff Physical Design Timing Engineer (STA)
Lightmatter
Toronto, Ontario
- Full-time
We are hiring a Physical Design Timing Engineer to help drive backend digital execution for some of the leading photonics based interconnect solutions. You will work alongside a team of…
Added 4 months ago
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Senior Software Engineer in Test (SDET)
Solink
Remote, Canada
- $115,000 to $147,500 CAD / year
- Full-time
- Remote
We're looking for a Software Development Engineer in Test (SDET) to join our Device Management team.
Added 4 months ago
SA
Forward Deployed Engineer
STAN AI
Toronto, Ontario
- $80,000 to $110,000 CAD / year
- Full-time
<p>This is a forward deployed engineer role, you own the technical health of your deployments end to end: when the AI gets something wrong, you find out why - digging through conversation…
Added 4 months ago
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AI Enablement Specialist
Armstrong Collective
Vancouver, British Columbia
- Full-time
Microsoft Azure AI Fundamentals (AI-900) or Azure AI Engineer
Added 4 months ago
SA
Solutions Engineer
STAN AI
Toronto, Ontario
- $80,000 to $110,000 CAD / year
- Full-time
<p>This is a solutions engineer role, you own the technical health of your deployments end to end: when the AI gets something wrong, you find out why - digging through conversation logs,…
Added 2 months ago
Data Solutions Engineer
Evismart
Vancouver, BC
A foundation-level seat: the data layer you build is what sales reporting, customer success, and the platform's AI and analytics ambitions will run on.
Added 4 months ago
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Systems Engineer, Patch Management (12 month contract)
TMX Group
Toronto, Ontario
- $110 to $120 CAD / hour
- Full-time
Job Location: Hybrid (2-3 days in office) - based in Toronto, ON · Must Have(s)
Added 2 months ago
Principal AI Engineer - Tangerine
Scotiabank
Toronto, ON
Added 2 months ago
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Storage Site Reliability Engineer
Yochana
Montreal, QC
- Contract
Role: Storage Site Reliability Engineer (GPFS / Storage Ops)
Added 2 months ago
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Quality Assurance Analyst
SE Health
Markham, ON
- Contract
Added 2 months ago
SH
Senior Quality Assurance Engineer
SE Health
Markham, ON
- Contract
As a Senior QA Engineer, you will be responsible for hands-on test automation and testing across in-house applications, integrations, and vendor/SaaS solutions. The role will focus heavily…
Added 2 months ago
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Sr. DevOps Engineer, TD Securities
TD
Toronto, ON
- Full-time
DevOps Engineer covers a number of functional disciplines or practice areas. These technology professionals demonstrate incredible commitment through their participation in a combination of…
Added 2 months ago
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Principal Azure Cloud Platform Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
As a Principal Azure Platform Engineer, you will play a hands‑on engineering role within BMO’s Azure cloud ecosystem. You will be responsible for designing, building, and operating secure,…
Added 2 months ago
I&C Engineer - Water/Wastewater Treatment
Black & Veatch Family of Companies
Markham, ON
Black & Veatch has an exciting opportunity for a Mid-Level Instrumentation and Control (I&C) Engineer within our Engineering and Design Services – Water and Water Solution Engineering Team…
Added 2 months ago
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Industrial Engineer - Advanced Industrialisation
RTX
Longueuil, QC
- Full-time
Added 2 months ago
Développeur en Automatisation Assurance Qualité / Quality Assurance Automation Developer
OPAL-RT
Montreal, QC
Added 2 months ago
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Engineering Lead
AtkinsRéalis
Toronto, ON
- Full-time
Strong technical capability in all project phases and ability to solve complex problems including by using data analytics to support solution identification.
Added 2 months ago
Senior Site Reliability Engineer (SRE)
Tubi - Canada
Toronto, ON
…running large-scale, distributed systems. Our mission is to engineer resilience from the ground up, enabling our product teams to innovate rapidly while ensuring our users have a stellar…
Added 6 months ago
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Field Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
Enterprise Data Observability is at the intersection of today’s hottest and most crucial technologies such as AI, LLMs, Analytics, and DataOps. Acceldata provides mission-critical…

Evismart

Data Solutions Engineer

Vancouver, BC, Canada

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Experience: 4–5 years of professional experience in data analysis, data engineering, or solutions/implementation engineering.
Posting language: English
Posted: Sep 24, 2026

Original job description

Establish the single source of truth for customer data. Then use it to get every customer to value, fast.

On-site | Vancouver Office – 675 W Hastings St.

The Problem We're Solving

EviSmart™ has grown fast - data now lives in more places than it used to: the backend that runs the business, the CRM where sales and customer success work, and the data every lab brings with them when they join the platform. Reporting takes more cross-checking than it should, and the data-mapping step in lab onboarding - simple in concept but exacting in practice. This role exists to close that gap: one person who owns making EviSmart's customer data a single source of truth.

Why EviSmart

300 people. Two hubs: Vancouver HQ and Manila operations.
145% year-over-year SaaS growth - the market is responding.
28 countries. One platform. The dental industry's Autopilot.
An in-house AI model research and development team building proprietary intelligence.

Why This Role, Right Now

Sales, Customer Success, and go-to-market teams need to open one system and trust what they see - today they can't. And as the platform scales, onboarding has to become a repeatable machine instead of a per-customer rescue effort. These aren't future problems; they're live ones. The first months of this role are deliberately concrete: specific systems, specific deliverables, measured outcomes. But the mandate behind them is bigger - every system the platform adds and every AI capability the company builds will sit on the customer data foundation this person establishes.

What You'll Own

Own - Reconciliation of customer data across systems: pull a clean customer list from the backend into the CRM - no duplicates, no ghost accounts - audit what's already in HubSpot (call logs, deal history, contacts), and make the call on what stays, what gets cleaned, and what gets automated.
Build - A live two-way integration between HubSpot and the backend: data flows automatically, actions trigger from HubSpot, logic stays in the backend.
Establish - One trusted place to generate sales pipeline, retention rate, customer health, and all other sales, customer success, and go-to-market reporting.
Run - Customer onboarding data-mapping sessions directly with labs.

Deliver - A written brief for engineering: where labs hit friction during mapping, what's causing it, and what to fix so labs can complete it independently.
Coordinate - With Customer Success on onboarding sessions and with our contracted HubSpot partner on integration.
Grow - Into the data foundation itself. As the early goals land, the scope expands toward owning and scaling customer onboarding as a repeatable machine - and toward the broader work of making EviSmart's data trustworthy end to end, across every system it touches.

What You'll Get

A foundation-level seat: the data layer you build is what sales reporting, customer success, and the platform's AI and analytics ambitions will run on.
Direct customer contact from week one - labs across 28 countries, real workflows, immediate feedback on whether your work holds up.
Concrete goals with real gates: this role is defined by deliverables and measurable outcomes, not vague mandates.
A role built to grow - the scope expands as the foundation you build proves out.
Competitive compensation with salary range disclosed at offer.

How We Work

We ship before we're 100% certain. We write things down because we have two offices and memory is lossy. We debate loudly and move without resentment. We treat the customer's real problem as more important than an elegant internal process. If you've spent time waiting for permission to try something obvious - you'll notice the difference here immediately.

The Question You're Probably Asking

"'Is this a CRM admin job?' No. The CRM is where the data problem surfaces first, so it's the first proving ground - but the work is data engineering end to end: cleansing, integration, sync logic, reporting architecture, and reconciling what the backend, the CRM, and the customer's own data each believe is true."

- EviSmart Talent Team

What We Need

Bachelor's degree in Statistics, Computer Science, Data Science, Economics, or a related field.
4–5 years of professional experience in data analysis, data engineering, or solutions/implementation engineering.
Advanced SQL skills (joins, CTEs, window functions, subqueries).
Proficiency in Python for data analysis and workflow automation.
Experience with ETL/ELT pipelines and workflow automation.
Hands-on CRM data experience - auditing, cleansing, deduplication, and data migration. HubSpot strongly preferred.
Systems integration experience - building or maintaining two-way integrations between platforms (APIs, middleware, sync logic).
Familiarity with Git/GitHub for version control and collaboration.
Comfortable running customer-facing working sessions and explaining data configuration to non-technical users.
Able to translate customer friction into clear, actionable briefs for engineering.

Apply today @ Evismart Careers

Apply on job-boards.greenhouse.io About employer

More about this job

Responsibilities

Establish a single source of truth for customer data by reconciling backend systems with the CRM and building automated two-way integrations. The role also involves running customer onboarding data-mapping sessions and creating technical briefs for the engineering team.

Requirements

Requires a Bachelor's degree in a quantitative field and 4-5 years of experience in data or solutions engineering. Proficiency in SQL, Python, and CRM data management (preferably HubSpot) is essential.

Skills

SQL
Python
ETL/ELT Pipelines
CRM Data Management
HubSpot
Systems Integration
API
Git
GitHub
Data Analysis
Data Engineering
Data Cleansing
Data Migration
Reporting Architecture
Customer Onboarding
Technical Writing

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
SQL
Python
HubSpot
ETL
ELT
API
CRM
Data Mapping
Data Reconciliation
SaaS
Git
GitHub
Data Architecture
Customer Success
Data Migration
Data Analysis
Systems Integration
Backend
Reporting

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Work requirements

Jobs in Canada