Evismart
Technology
DataSolutionsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Solutions Engineer at Evismart. Skills: Data engineering, Data integration, CRM data, Reporting architecture. Reconcile customer data across systems. Pull a clean customer list from the backend”
What You'll Achieve.
Establish the single source of truth for customer data; Get every customer to value, fast; Labs can complete onboarding independently
Industry & Context.
Data cleansing; Data deduplication; Data migration; Integration logic; Data mapping; Reconciling data
What They're Looking For.
Must Have
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, Proficiency in Python for data analysis and workflow automation, Experience with ETL/ELT pipelines and workflow automation, Hands-on CRM data experience, Systems integration experience, Familiarity with Git/GitHub for version control and collaboration, Comfortable running customer-facing working sessions, Able to translate customer friction into clear, actionable briefs for engineering
Nice to Have
HubSpot strongly preferred, PhD preferred
What You'll Do.
Reconcile customer data across systems
Pull a clean customer list from the backend
Audit data in HubSpot
Build a live two-way integration between HubSpot and
Establish one trusted place to generate sales pipeline
Run customer onboarding data-mapping sessions directly with labs
Deliver a written brief for engineering on lab
Coordinate with Customer Success on onboarding sessions
Coordinate with contracted HubSpot partner on integration
Own and scale customer onboarding as a repeatable
Make EviSmart's data trustworthy end to end
How You'll Work.
Team & Collaboration
Customer Success; Contracted HubSpot partner; Engineering
Communication Scope
Explaining data configuration to non-technical users
Full 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 — doesn't yet leave every lab owning their own setup. 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,
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