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Added 3 months ago
P
Risk Modelling Services, Actuarial, P&C Senior Manager
PwC
Ottawa, Ontario · Toronto, Ontario · Montreal, Quebec · Quebec, Quebec
- Full-time
Proficiency in reserving or statistical applications such as Arius, R, or Python
Added 2 months ago
Data Solutions Engineer
Evismart
Vancouver, BC
Proficiency in Python for data analysis and workflow automation.
Added 1 month ago
Principal AI Engineer - Tangerine
Scotiabank
Toronto, ON
Extensive experience in Python and its core data science libraries (e.g., Scikit-learn, Pandas, NumPy, Matplotlib/Seaborn)
Added 3 months ago
AG
Manager, Marketing Operations & AI
Adelphi Group
Remote, Canada
- Full-time
- Remote
Experience with basic coding/scripting (SQL, Python, Javascript, APIs (Postman), Version Control (Git) is a plus.
Added 3 months ago
LT
Data Scientist
Larus Technologies
Ottawa, Ontario
- Full-time
Strong object-oriented programming in Python;
Added 3 months ago
LT
Frontend/UI Developer
Larus Technologies
Ottawa, Ontario
- Full-time
We are looking for a UI/Frontend Developer to join the Larus team. You will design and build the interfaces through which military planners, analysts, and decision-makers make sense of…
Added 2 months ago
MM
Automation & AI Developer
Martell Media
Kelowna, BC
- Full-time
5+ years of experience building Python services in production.
Added 1 month ago
M
Senior Director, Platform
Miovision
Remote, Canada
- Full-time
- Remote
Build a governed, unified entry point for Miovision's strategic capabilities, utilizing adoption data and developer feedback to continuously improve the ecosystem.
Added 1 month ago
S
Fraud Product and Operations Lead
Scene+
Toronto, ON
- Full-time
…inform decisions and improve controls. Experience with SQL or Python is an…
Added 1 month ago
T
Data Analyst (BI Specialist) - Contract
Tayco
Remote, Canada
- Full-time
- Remote
warehouse or star schema design, advanced Excel data modelling, Python or R for
Added 6 months ago
W
Research Engineer, Sensor Signal Processing
Waabi
Toronto, ON
- $155,000 to $269,000 USD / year
- Full-time
…rapidly building proofs of concept in a high level language like Python, Julia, or MATLAB. You are equally comfortable reading and developing production-quality…
Added 1 month ago
Senior Site Reliability Engineer (SRE)
Tubi - Canada
Toronto, ON
…team. We are a software engineering organization that applies a developer's mindset and toolkit to the challenges of building and running large-scale, distributed systems. Our mission is to…
Added 1 month ago
C
NPI Hardware Co-op (8 month - January 2027)
Ciena
Ottawa, ON
- Full-time
Added 1 month ago
H
Technical Specialist, Senior - Vital Software
Hitachi
Toronto, ON · (RSBU) Toronto
- Full-time
Added 6 months ago
A
Field Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
Added 6 months ago
A
Sales Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
Added 6 months ago
A
Software Engineering Co-op
Acceldata
Kitchener, Ontario
- Internship
Strong programming skills in languages such as Java or Scala, and Python.
Added 6 months ago
C
Python Full Stack Developer (contract)
Capgemini
Montreal, Quebec
- Contract
We are seeking an accomplished Full Stack Developer with expertise in GenAl technologies to join the team and drive key initiatives forward.
Added 6 months ago
HC
Co-op Researcher – Computer Vision and Machine Learning
Huawei Canada
Markham, Ontario
- Volunteer
…development skills, previous internship experiences with C++ and Python…
Added 6 months ago
PI
Optical Engineer (Ph.D. / Early Career)
Photonic Inc.
Coquitlam, British Columbia
- Full-time
Proficiency in Python or other scripting languages for data analysis and automation
Added 6 months ago
AI
Solution Engineer - Tooling (Vehicle Intelligence)
Applied Intuition
Owen Sound, Ontario
- Full-time
Intermediate Programming experience in Python and/or C++
Added 6 months ago
AI
Solution Engineer - Vehicle OS
Applied Intuition
Owen Sound, Ontario
- Full-time
Developer toolchain A code-first toolchain that replaces GUI-bound configuration workflows. Engineers model vehicle behavior in Python, manage changes through pull requests, and validate in…
Added 6 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
V
Staff AI Data Scientist
Verily
Remote, Canada
- Full-time
- Remote
Strong proficiency in Python and experience building scalable data science and machine learning solutions.
Added 3 months ago
FS
DSP Designer
Fidus Systems
Remote, Canada
- Full-time
- Remote
Develop and simulate DSP algorithms (equalization, filtering, estimation, detection) in MATLAB/Simulink and/or Python, from concept through fixed-point validation

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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