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Added 5 months ago
SI
Staff Validation/Verification Engineer - 17399
Synopsys Inc
Nepean, Ontario
- Full-time
…starts when the chip comes back from fab. You are the kind of engineer who can look at a waveform on an oscilloscope and know within seconds whether you are chasing a design issue, a board…
Added 2 months ago
Staff Backend Product Engineer, Operations Technology (all genders)
HelloFresh
Toronto, ON
Strong fluency in Python (Golang is a plus) and hands on experience building distributed systems in production: event-driven and asynchronous flows, clear service contracts, and designing…
Added 3 months ago
S
Associate Analog Design Engineer
Semtech
Ottawa, Ontario · CAN - Ottawa, ON
- Full-time
Hands-on experience with high-speed lab equipment such as spectrum analyzers, network analyzers and oscilloscopes coupled with knowledge of scripting languages such as Python are considered…
Added 3 months ago
Network Engineer, Optical Deployment
Meta
Quinte West, Ontario
Meta is looking for an Optical Network Deployment & Support Engineer to join the team responsible for planning and executing network deployments to build one of the world's largest optical…
Added 3 months ago
DD
Senior Software Engineer Fullstack
Dominion Dynamics
Ottawa, ON
- Full-time
Strong production experience in Python and JavaScript/TypeScript, and the judgment to write clean, testable, maintainable code.
Added 1 month ago
T
Founding AI/ML Engineer
Taskclan
Remote, Canada
- Full-time
- Remote
We are looking for a Founding AI/ML Engineer to help build the technical foundation of Taskclan Intelligence. You will work directly with the founder on model development, evaluation,…
Added 1 month ago
P
AI Engineer - Canada
Pulsora
Remote, Canada
- $60,000 to $70,000 CAD / year
- Full-time
- Remote
Hands-on experience with Java, especially integrating Java modules with Python modules is a nice to have, but not necessary
Added 1 month ago
AC
Data Engineer - AWS, Snowflake, DBT
Aviva Canada
Markham, ON
- Full-time
Hands-on experience in developing and maintaining automated workflows and system operations using Python and Apache Airflow, with a focus on streamlining processes and optimizing…
Added 1 month ago
Manager - Marketing Analytics
Enercare
Markham, ON
Strong hands-on experience with Microsoft Fabric. Experience building and maintaining enterprise-grade analytics engineering frameworks, including data models, reusable metrics, and…
Added 1 month ago
Senior Design Verification Engineer
Astera Labs
Toronto, ON
As a Senior Design Verification Engineer, you will help build and validate complex connectivity silicon that enables the next generation of AI infrastructure. You will develop scalable…
Added 1 month ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 1 month ago
Lead Data Engineer
Ipsos
Vancouver, BC
Provide hands-on technical leadership through solution design, code reviews, debugging, production support, and mentorship of data engineers.
Added 1 month ago
Business Systems Engineer, Intelligent Automation
Lyft
Toronto, ON
We're looking for a Workato/Boomi Integration Engineer to build and support enterprise automation, with a focus on Legal systems integration (CLM, e-signature, matter management,…
Added 5 months ago
AC
Guidewire Rating Developer
Aviva Canada
Markham, Ontario
- Full-time
3 - 5 years proven experience in Guidewire Development, ideally with hands‑on PolicyCenter rating experience.
Added 6 months ago
L
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 6 months ago
B
Machine Learning Engineer, Underwriting
Bree
Remote, Canada
- $130,000 to $230,000 CAD / year
- Full-time
- Remote
We’re looking for a Machine Learning Engineer to build and scale high-impact, world-class ML systems. You’re passionate about deploying AI solutions, optimizing performance, and driving…
Added 3 months ago
S
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 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
Work hands-on and de-risk the critical parts of our complex projects & Evaluation pipelines. The role will be deeply involved in coding, reviewing, red-teaming, and optimizing AI solutions
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 6 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 6 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 6 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 6 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 6 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…

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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