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Added 2 months ago
Data Solutions Engineer
Evismart
Vancouver, BC
Proficiency in Python for data analysis and workflow automation.
Added 3 months ago
MM
Oliver Wyman - Associate Team Leader; Team Leader; Director-Data and Analytics - Toronto
Marsh McLennan
Remote, Canada
- Full-time
- Remote
Experience in using advanced analytics and data manipulation software - R, Python, SAS, SQL, or SPSS.
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 2 months ago
MM
Automation & AI Developer
Martell Media
Kelowna, BC
- Full-time
Systems Thinker: You see the whole and the parts at the same time. When a Zap misfires, you trace it Stripe → Relay.app → MySQL → HubSpot → Slack and find the seam where data broke, not…
Added 1 month ago
S
Fraud Product and Operations Lead
Scene+
Toronto, ON
- Full-time
The analytical and technical skills. You are naturally curious and enjoy digging into data and fraud journeys to uncover root causes, understand behaviours, and prevent recurring issues.…
Added 1 month ago
T
Data Analyst (BI Specialist) - Contract
Tayco
Remote, Canada
- Full-time
- Remote
The BI Specialist / Data Analyst is responsible for turning the data produced by Tayco's manufacturing and business systems into reporting that management and senior management can act on.…
Added 5 months ago
VA
Senior Technical Analyst - Data Warehouse Developer
Vancouver Airport Authority
Vancouver, British Columbia
- Full-time
Good experience with data prep, data integration (ETL), data modelling, along with proficiency in working with Azure Databricks, experience with SQL and Python
Added 5 months ago
C
Core Java Developer (contract)
Capgemini
Montreal, Quebec
- Contract
Self-starter with ability to work in a fast paced environment and be able to work on multiple projects
Added 5 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 5 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 USD / year
- Full-time
Strong programming skills in SQL, Python, or related languages.
Added 6 months ago
TS
Data Engineer
T-Rex Solutions
Remote, Canada
- $50,000 to $94,000 USD / year
- Full-time
- Remote
Experience with the following: Python, SQL, ETL/ELT development, Test automation for data pipelines, Data quality automation, API integration, Airflow or workflow orchestration, AWS/Azure…
Added 6 months ago
F
Machine Learning Engineer
FactualIQ
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
Proficiency with SQL, data pipelines, and feature engineering workflows.
Added 3 months ago
S
Lead Data Scientist
Sixone
Burnaby, British Columbia
- Full-time
Build and manage data pipelines in Python and SQL, locally and on AWS, integrating data from a variety of imaging and edge-sensing devices, including proprietary formats and calibration…
Added 2 months ago
(2027 Bachelor's/Master's graduates) Cyber & Forensic Technology Consulting Analyst/Associate
Charles River Associates
Toronto, ON
Leverage your programming, model building, and database administration skills (including using Python, T-SQL, VBA, Excel, C#, and/or other programming languages and tools);
Added 3 months ago
RE
Systems Performance Analyst II
Recurrent Energy
Guelph, Ontario
- Full-time
Strong computer skills and In-depth familiarity with Python/Pandas
Added 3 months ago
OF
QA Automation Engineer
OTT Financial Group
Toronto, Ontario
- Full-time
Knowledge of SQL and ability to validate data in databases.
Added 1 month ago
VS
Senior Reliability/Test Engineer
VIAVI Solutions
Ottawa, ON
- Full-time
SQL database programming experience for test record and data management.
Added 1 month ago
D
Full Stack Engineer
Dexian
Toronto, ON
- Contract
Looking for a Full-Stack Developer who can work across frontend, backend, and database layers, with strong JavaScript/HTML/CSS, VBA/Python, and SQL experience. Agile methodology and…
Added 1 month ago
EB
Intern - Credit Risk, Winter 2027
EQ Bank
Toronto, ON
- Internship
3M to 1 yr of exposure to Microsoft SharePoint and Microsoft PowerShell, Microsoft Power Automate, Python, and/or SQL.
Added 1 month ago
RB
Full Stack Developer, AI
Royal Bank of Canada
Toronto, ON
- Full-time
5+ years of software development experience with languages such as Java, Python and JavaScript, with a strong foundation in SQL and a willingness to contribute across a diverse tech stack…
Added 1 month ago
Senior Financial Analyst
Rogers Communications
Toronto, ON
Experience querying and manipulating data using SQL, building dashboards and visualizations using Power BI
Added 1 month ago
A
Analyste BI senior
AtkinsRéalis
Montreal, QC
- Full-time
Develop and optimize SQL queries, data transformation processes and reporting solutions.
Added 1 month ago
SG
Tech Ops Engineer
Scientific Games
HR Canada
- Full-time
Automatisez les tâches opérationnelles à l'aide de Bash, Python, PowerShell, Ansible, Terraform, SQL, CloudFormation ou d'outils équivalents afin de réduire les tâches manuelles,…
Added 6 months ago
Z
Senior Backend Engineer (.NET & AI/ML)
Zonda
Toronto, Ontario
- $110,000 to $130,000 CAD / year
- Full-time
This is a dual-focus role: you will spend meaningful time on both core backend engineering (.NET, gRPC microservices, SQL Server, MongoDB, Elasticsearch, AWS, Azure) and AI/ML engineering…
Added 6 months ago
Z
Senior Backend Engineer (.NET & AI/ML)
Zonda
Montreal, Quebec · Greater Montreal Metropolitan Area
- $110,000 to $130,000 CAD / year
- Full-time
This is a dual-focus role: you will spend meaningful time on both core backend engineering (.NET, gRPC microservices, SQL Server, MongoDB, Elasticsearch, AWS, Azure) and AI/ML engineering…

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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