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Added 1 day ago
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QA Engineer
Suger
Vancouver, BC
- $90,000 to $120,000 CAD / year
- Full-time
Contribute to hands-on testing and the design, development, and maintenance of test automation frameworks, infrastructure, and tools.
Added 2 days ago
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Head of Data Systems (Google Stack)
Stacktics
Toronto, ON
- Full-time
Troubleshoot and resolve issues in the development, test and production environments
Added 2 days ago
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Security Engineer, Vulnerability Management & Security Operations
LiveKit
Canada
- Full-time
…Our platform gives developers everything they need to build, test, deploy, scale, and observe agents in production. Founded in 2021, LiveKit powers voice AI applications for OpenAI, xAI,…
Added 2 days ago
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Security Engineer, Infrastructure Security
LiveKit
Canada
- Full-time
…Our platform gives developers everything they need to build, test, deploy, scale, and observe agents in production. Founded in 2021, LiveKit powers voice AI applications for OpenAI, xAI,…
Added 2 days ago
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Quality Engineer II
TD
Toronto, ON
- Full-time
Analyze, develop, debug, execute and maintain complex automated test cases
Added 4 days ago
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Sales Operations Manager
Docker
Remote, Canada
- Full-time
- Remote
Partner with Business Systems to scope, prioritize, and test Salesforce and GTM tool changes that affect SEs (Salesforce, Gong, Opine), and drive adoption
Added 4 days ago
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Senior GTM Engineer
Jobgether
Canada
- Part-time
Join a forward-thinking team building AI-powered go-to-market systems for modern B2B companies. As a Senior GTM Engineer, you will design and implement the data infrastructure, automation…
Added 5 days ago
C
Expert System Architecture - Google Cloud Platform and Gemini Entreprise-CA
CN
Toronto, ON
- Full-time
Personally build, configure, test, deploy, and support production-grade solutions across the GCP ecosystem.
Added 5 days ago
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Level IV Quality Engineer (QE)
Robertson & Company Ltd.
Toronto, ON
- Contract
Quality Engineer supporting Unified Advisor Experience supporting electronic tracking (eTrack) of an application/lifecycle and electronic documents (eDocs), running test coverage in…
Added 6 days ago
LA
CRM Specialist - Strategy & Customer Journey
Level Agency
Remote, Canada
- Full-time
- Remote
…hypothesis in the afternoon, without waiting on a data analyst or…
Added 6 days ago
VC
Jr. QA Engineer
Veriforce Canada
Montreal, QC
- Full-time
As a Junior Software Development Engineer in Test (SDET), you will support the delivery of reliable, high-quality software by performing manual testing and contributing to automated…
Added 8 days ago
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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 10 days ago
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Senior QA Automation Engineer / Lead – eCommerce Payments
Simpliigence
Canada
- Contract
We are hiring a hands-on Senior QA Automation Engineer to lead QA for Adyen payment projects on a large global eCommerce platform for a leading consumer brand.
Added 10 days ago
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GTM Engineer (Sales)
Alloy.ai
Vancouver, BC
- Full-time
The best sales teams of the next decade won’t win by making more calls. They’ll win by knowing exactly which calls matter. Alloy is hiring a GTM Engineer to build that engine and run it.
Added 10 days ago
BH
Member of Technical Staff
Beacon Holdings
Toronto, ON
- Full-time
…long-term technical direction of that area. This is a Staff Engineer role in everything but name. We run…
Added 10 days ago
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Salesforce Agentforce Automation QA
HabileLabs
Canada
- Contract
We are looking for a Salesforce Agentforce Automation Engineer with hands-on experience testing and automating AI Agents, including Salesforce Agentforce and other generic/LLM-powered…
Added 10 days ago
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Quality Assurance Engineer
VySystems
Toronto, ON
- Full-time
Hands-on experience executing end-to-end test scenarios in Salesforce cloud environments (Sales/Service Cloud).
Added 10 days ago
QW
QA Engineer (Salesforce)
Quantum World Technologies Inc.
Toronto, ON
- $80,000 to $87,000 CAD / year
- Full-time
Hands-on experience executing end-to-end test scenarios in Salesforce cloud environments (Sales/Service Cloud).
Added 11 days ago
S
Senior QA Automation Engineer / Lead – eCommerce Payments
Simpliigence
Canada
- Contract
We are hiring a hands-on Senior QA Automation Engineer to lead QA for Adyen payment projects on a large global eCommerce platform for a leading consumer brand.
Added 11 days ago
QW
QA Engineer (Salesforce)
Quantum World Technologies Inc.
Toronto, ON
- $80,000 to $87,000 CAD / year
- Full-time
Hands-on experience executing end-to-end test scenarios in Salesforce cloud environments (Sales/Service Cloud).
Added 11 days ago
SP
Software Engineering LMTS
Salesforce Partner Canada
Vancouver, BC
- Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 11 days ago
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Salesforce QA Engineer
Yochana
Toronto, ON
- Full-time
Hands-on experience executing end-to-end test scenarios in Salesforce cloud environments (Sales/Service Cloud).
Added 11 days ago
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Salesforce QA Engineer
VySystems
Toronto, ON
- Full-time
This job posting is for an existing, active vacancy and we are looking to hire a Salesforce QA Engineer.
Added 12 days ago
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Mulesoft Software Engineer II
TD
Toronto, ON
- Full-time
Develop new features and perform unit / component test for new application development initiatives aligned to business needs and in accordance with technology architecture standards
Added 12 days ago
TI
Salesforce QA Engineer
Tekgence Inc
Toronto, ON
- Full-time
This job posting is for an existing, active vacancy and we are looking to hire a Salesforce QA Engineer.

Swoop Airlines and Aviation

Senior Data Engineer, NimbleRx

Toronto, ON, Canada

$195,000 to $228,000 CAD / year

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Job details

Pay: $195,000 to $228,000 CAD / year
Experience: 5+ years of experience building production data pipelines and platforms
Posting language: English
Posted: Oct 5, 2026

Original job description

About the role

As a Senior Data Engineer, you will own NimbleRx’s data platform - the layer that every other team builds on to understand the business, ship product features, and meet our compliance obligations. The work scales beyond you: what you build once accelerates product, analytics, ops, and data science for years.

The role lives at the intersection of production engineering and data engineering, and the test of your work is whether other teams move faster because of it. This is an opportunity to be rewarded for hard technical work on a problem that genuinely matters.

Our engineering culture: We operate with shared trust and no egos. We enjoy being “in this together” and collaborating on the challenges of a rapidly scaling business. We live out our company values of curiosity, ownership, simplicity, and a get-it-done mentality.

We’re open to Senior or Lead candidates. What matters is what you could build, not your current title.

*Current Canadian work authorization is strongly preferred. Visa sponsorship may be considered on an exceptional basis for highly qualified candidates who possess specialized skills critical to this role.

What you'll do

Own the data platform end-to-end - ingestion, transformation, storage, query, and access - and drive its roadmap as the company’s data needs grow.

Build and evolve batch and streaming pipelines on PySpark/EMR, Kinesis, Lambda, and Step Functions, ingesting from Postgres, Salesforce, third-party vendors, and product event streams into our Iceberg-based lake.

Model the warehouse: design SCD tables, event tables, and the conventions other engineers and analysts follow when adding new data.

Partner with product, engineering, analytics, and operations stakeholders across the company to turn data requests into well-scoped, reliable pipelines - and write the docs and tooling that let them self-serve next time.

Own the security and compliance backbone of our data systems, including audit logging, access control, and temporary-access workflows.

Optimize backend query performance where the data layer meets product code - read-replica routing, indexing, caching, and IO instrumentation in our Java/Spring services.

Lead investigation and remediation when data infrastructure misbehaves - IOPS spikes, pipeline failures, schema drift, late data - and make the fixes durable.

Use AI as a daily accelerant for pipeline scaffolding, schema work, and ad-hoc investigations - and ship internal AI tooling that lets other teams do the same.

Mentor engineers and analysts across the company on how to work with the data platform.

Qualifications

5+ years of experience building production data pipelines and platforms

Deep Python (PySpark) and SQL fluency, including tuning Spark jobs at scale

The skills and willingness to work on the services around the data layer (Java, Spring Boot)

Hands-on experience with distributed compute (Spark/EMR), streaming (Kinesis), and object storage (S3)

Solid Postgres fundamentals - query optimization, indexing, replication, replica routing, and a feel for when the database is the bottleneck

Experience with Iceberg and Trino, or similar

Comfort with CI/CD and Terraform

Already building with AI - frontier models, agentic coding tools, or something you hacked together last weekend

Track record of working across teams that don’t speak your language (product, ops, etc.)

About you:

You take ownership of the platform’s reliability, cost, accessibility, and compliance - not just the tickets you happened to ship.

You think about security and PII/PHI handling as core engineering work, not as someone else’s problem.

You’re a force multiplier: the docs, tools, and skills you leave behind make other engineers and analysts faster long after the original ticket closes.

You have a bias for shipping iteratively and instrumenting what you ship - you’d rather demo a rough v1 in two days than a polished v3 in two weeks.
You take pride in your work and have good judgment about what to prioritize when everything feels urgent.

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More about this job

Responsibilities

You will own the end-to-end data platform, including ingestion, transformation, storage, and access, while driving its roadmap. Additionally, you will partner with cross-functional teams to build reliable pipelines and optimize backend query performance for product services.

Requirements

Candidates must have 5+ years of experience building production data pipelines and possess deep fluency in Python, PySpark, and SQL. Proficiency in Java, Spring Boot, distributed compute systems, and cloud infrastructure is also required.

Skills

Python
PySpark
SQL
Java
Spring Boot
Distributed compute
Kinesis
Postgres
Iceberg
Trino
CI/CD
Terraform
Data pipeline architecture
Cloud infrastructure
Data modeling
AI tooling

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
PySpark
Python
SQL
Java
Spring Boot
AWS EMR
Kinesis
Postgres
Iceberg
Trino
Terraform
CI/CD
Data Warehouse
Data Pipeline
Streaming
Batch Processing
Cloud Infrastructure
Security
Compliance
Data Modeling
AI
Distributed Systems
Performance Optimization
S3
Lambda
Step Functions
Data Platform
Mentorship
Backend Engineering

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