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Added 5 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
L
Sr. Staff Physical Design Timing Engineer (STA)
Lightmatter
Toronto, Ontario
- Full-time
Well versed with scripting languages like TCL and Python, PERL, or Shell
Added 5 months ago
B
Machine Learning Engineer, Underwriting
Bree
Remote, Canada
- $130,000 to $230,000 USD / year
- Full-time
- Remote
Proficiency in Python and familiarity with ML libraries like Scikit-learn, LightGBM, and PyTorch.
Added 3 months ago
S
Senior Software Engineer in Test (SDET)
Solink
Remote, Canada
- $115,000 to $147,500 CAD / year
- Full-time
- Remote
At Solink, our mission is to safeguard what matters most. We provide businesses with the tools to know sooner and act faster by transforming video security into real-time operational…
Added 3 months ago
SA
Forward Deployed Engineer
STAN AI
Toronto, Ontario
- $80,000 to $110,000 USD / 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 3 months ago
SA
Solutions Engineer
STAN AI
Toronto, Ontario
- $80,000 to $110,000 USD / 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
…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…
Added 1 month ago
Principal AI Engineer - Tangerine
Scotiabank
Toronto, ON
…agility, and bold thinking, tackling every challenge head-on with leading technology and the unstoppable power of…
Added 6 months ago
W
Research Engineer, Sensor Signal Processing
Waabi
Toronto, ON
- $155,000 to $269,000 USD / year
- Full-time
As a Research Engineer in Sensor Signal Processing, you will be a key contributor to the research and development of Waabi’s signal processing stack for autonomous driving. You will…
Added 1 month ago
Senior Site Reliability Engineer (SRE)
Tubi - Canada
Toronto, ON
As a Senior Site Reliability Engineer, you are a hands-on engineer who blends deep software development expertise with a passion for operational excellence. You will be responsible for…
Added 1 month ago
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Technical Specialist, Senior - Vital Software
Hitachi
Toronto, ON · (RSBU) Toronto
- Full-time
A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the…
Added 5 months ago
H
AI Engineer - Remote
Huzzle.com
Canada
- Full-time
We are looking for a highly skilled AI Engineer to design, build, and deploy AI-driven applications and machine learning solutions. You'll work closely with product, engineering, and data…
Added 5 months ago
MA
AI Intern / AI Engineer
Metry AI
Remote, Canada
- Remote
3.Collaborate closely with product, design, and frontend teams to ship end-to-end features.
Added 5 months ago
A
Field Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
As a Field Engineer Co-op at Acceldata, you’ll be working hands-on with complex distributed systems, helping real customers solve deep infrastructure and data observability challenges.
Added 5 months ago
A
Sales Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
Summary As a Sales Engineer Co-op at Acceldata Inc, you will work closely with our sales engineering team to support customer-facing initiatives across solution design, pre-sales, and…
Added 5 months ago
PI
Optical Engineer (Ph.D. / Early Career)
Photonic Inc.
Coquitlam, British Columbia
- Full-time
Photonic is seeking a talented Optical Engineer to support the design and engineering of optical sub-systems that advance our quantum computing roadmap. This is an excellent opportunity for…
Added 5 months ago
AI
Solution Engineer - Tooling (Vehicle Intelligence)
Applied Intuition
Owen Sound, Ontario
- Full-time
…validating intelligent systems at petabyte scale. As a Solution Engineer on the Tooling pillar, you will work with ADAS and AD engineering teams at OEMs and Tier 1s to architect and build…
Added 5 months ago
AI
Solution Engineer - Vehicle OS
Applied Intuition
Owen Sound, Ontario
- Full-time
We are looking for a bright engineer to help our customers solve complex technical problems across Applied Intuition’s Vehicle OS portfolio. In this role you will work closely with vehicle…
Added 5 months ago
F
Machine Learning Engineer
FactualIQ
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
Expert-level Python programming with deep knowledge of ML frameworks (PyTorch, TensorFlow, or similar).
Added 3 months ago
GP
AI/ML Engineer Intern (2027)
Georgian Partners Growth
Remote, Canada
- Internship
- Remote
Are you an aspiring AI Engineer eager to gain real-world impact and learn how to push AI's boundaries? Imagine diving into diverse, cutting-edge AI problems across multiple high-growth…
Added 3 months ago
S
Senior Full Stack Engineer, App Runtime
Snowflake
Toronto, Ontario
- $245,250 to $295,250 CAD / year
- Full-time
As a Senior Full Stack Engineer, you will drive initiatives that span our product areas and tech stack. It’s a high-impact role - you will work on an early-stage, public-preview product.…
Added 1 month ago
B
Senior Cloud Engineer - Google Cloud Platform (GCP)
BDO
Toronto, ON
- Full-time
BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and…
Added 1 month ago
IT Systems Engineer - Identity
Asana
Vancouver, BC
As an Identity Engineer, you will support and implement our internal and cloud-based IT identity infrastructure and applications to increase efficiency through automation. You will…
Added 2 months ago
Senior Data/AI Engineer
Guidepoint
Toronto, ON
Integrate Intelligent Systems: Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories, external APIs, and real-time data streams to create powerful…
Added 1 month ago
M
Applied AI Engineer
MANNARINO
Montreal, QC
- Full-time
We are seeking an Applied AI Engineer to help implement secure, reliable AI-assisted workflows for engineering and business activities. The successful candidate will report to the person…

Evismart

Data Solutions Engineer

Vancouver, BC, Canada

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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

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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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