Find work in Canada.

492,522 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 2 months ago
T
Ingénieur(e) principal(e) en essais / Senior Test Engineer
Telesat
Gatineau, QC
- Full-time
The Senior Test Engineer will be responsible for developing and maintaining system verification and validation plans of the Telesat LEO constellation communication system. In addition, they…
Added 2 months ago
S
Solutions Architect
Shakudo
Toronto, ON
- Full-time
4–8 years of experience in solution engineering, solution architecture, or a senior engineering role with significant client-facing responsibility
Added 2 months ago
L
Staff/Sr Staff Electro-Optic Codesign Engineer
Lightmatter
Toronto, ON
- Full-time
Lightmatter is (re)inventing the future of computing with light!
Added 1 month ago
TR
AI Engineer, Product Analytics
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
3+ years in software engineering, data engineering, data science, or analytics, with hands-on exposure to building or contributing to LLM-based agents or AI-native systems.
Added 1 month ago
FV
Senior Software Engineer
Forum Ventures
ON
- Full-time
Weʼre looking for a Senior Software Engineer with 5 - 8 years of professional experience to help design, build, and scale the production systems behind askpollyʼs AI-powered insights…
Added 2 months ago
M
Principal Software Engineer - Distributed Systems
Microsoft
Vancouver, BC
- Full-time
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java,…
Added 2 months ago
R
Senior Principal Software Engineer, Feature Store
Redis
Remote, Canada
- Full-time
- Remote
As Senior Principal Software Engineer for our Feature Store product, you will be the driving force behind our platform. You’ll own the technical vision, lead execution, and serve as the…
Added 2 months ago
N
Backend AI Engineer
Nexxa.AI
Remote, Canada
- Full-time
- Remote
Strong proficiency in TypeScript/Node.js (our primary backend language), with strong API and microservice design skills. Working proficiency in Python is a plus for ML/model integration…
Added 2 months ago
PH
Sr. Data Engineer
Propel Holdings
Toronto, ON
- Full-time
Experience with Python and scripting for data engineering, automation, testing, or Snowflake administration; Snowpark experience is an asset
Added 2 months ago
V
Lead Full-Stack GenAI Engineer
Vancity
Vancouver, BC
- Full-time
As a Lead Full-Stack GenAI Engineer, you will lead the hands-on delivery of secure Generative AI and agentic AI solutions from discovery and prototype through production deployment,…
Added 5 months ago
AM
Lead Diagnostics Software Engineer, ATE Integration
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Platform HW/SW Proficiency: Strong programming background in C/C++ and Python, with a concrete understanding of bare-metal or driver-level programming, registers, firmware interactions, and…
Added 2 months ago
RS
Security Engineer
R Systems
Mississauga, ON
- Contract
As a Security Engineer at R Systems, you will play a key role in implementing, managing, and optimizing enterprise security technologies and controls. You will work closely with security…
Added 1 month ago
Staff/Sr Staff Electro-Optic Link Codesign Engineer
Lightmatter
Toronto, ON
Lightmatter is (re)inventing the future of computing with light!
Added 2 months ago
FL
Data Engineer (Databricks)
Fluent, LLC
Remote, Canada
- Full-time
- Remote
You are known as a strong and efficient IC Data Engineer, with the ability to assist in designing engineering solutions, data modeling, and building architecture. You are familiar with the…
Added 2 months ago
A
Staff AI Engineer
Acquia
Canada
- Full-time
8+ years of software engineering with 3+ years in production of AI Agents.
Added 4 months ago
S
Solutions Architect
Shakudo
Toronto, ON
- Full-time
4–8 years of experience in solution engineering, solution architecture, or a senior engineering role with significant client-facing responsibility
Added 3 months ago
S
Senior Forward Deployed Engineer
Shakudo
Toronto, ON
- Full-time
We are seeking a Senior Forward Deployed Engineer to join our ProServe team and work directly with strategic customers to turn business problems into production AI and data systems. This is…
Added 2 months ago
S
Lead Data and AI Engineer
Sanofi
Toronto, ON
- Full-time
Advanced SQL and data modeling skills, with working knowledge of Python and scripting languages; Scala or Java is a plus
Added 2 months ago
TT
Production Application Engineer - Building Automation
Trane Technologies
Montreal, QC
- Full-time
…Intelligence company for the position of Product Application Engineer - Building Automation. Are you fascinated in leveraging AI to gain insight in the behavior of buildings? You will be…
Added 2 months ago
TR
Senior Software Engineer I
Thomson Reuters
Toronto, ON
- Full-time
We're looking for a Senior Software Engineer to join the CoCounsel Applications team and play a hands-on role in building and evolving our external integration strategy leveraging MCP and…
Added 2 months ago
TR
Staff Software Engineer I
Thomson Reuters
Toronto, ON
- Full-time
We're looking for a Lead Engineer to join the CoCounsel Application Experience team and play a hands-on technical leadership role in building and evolving our core product experiences. In…
Added 2 months ago
H
Senior Software Engineer, Data Systems
Hive
Remote, Canada
- Full-time
- Remote
8+ years of hands-on data engineering experience, with a proven track record of designing, building, and operating large-scale distributed data and ML systems in production -…
Added 1 month ago
Q
Sr to Principal Machine Learning Engineer, Framework & Performance
Qualcomm
Markham, ON
- Full-time
Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs
Added 2 months ago
C
Cluster Operations Software Engineer
Cerebras
Toronto, ON
- Full-time
We are seeking a highly skilled and experienced AI Cluster Operations Engineer to manage and operate our cutting-edge machine learning compute clusters. These clusters would provide the…
Added 2 months ago
TR
Lead Cloud Platform Engineer, Azure
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
5+ years operating Microsoft Azure in production for cloud-native applications, including at least one environment with real availability and compliance obligations.

Hive

Senior Software Engineer, Data Systems

Remote, Canada

Remote

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Aug 11, 2026

Original job description

At Hive, we’re all about creating moments that matter and helping event marketers connect with their biggest fans. Our platform powers marketing for 1,500+ iconic events, festivals, venues, and promoters across North America. We help them grow their customer base and sell out shows using intelligent, automated, and personalized digital marketing tools.

Hive integrates with 25+ platforms (like Ticketmaster and Shopify) to provide rich customer data in real-time, enabling event marketers to engage their audiences with precision and impact.

What Data team at Hive looks like

Hive’s R&D Data team is responsible for how we store and query production data at scale. We aren’t focused on only BI or dashboards - we build the systems that power Hive’s products and make data accessible, reliable, and performant.

As a Senior Data Engineer, you’ll play a vital role in evolving our data platform, which directly determines what our customers can do, how fast our product moves, and how confidently leadership can make bets. You'll own outcomes, not tickets. If a business metric is off and it touches data, that's yours to care about.

What you’ll get up to

Build our Data Platform: Design and own a cloud-native big data platform handling audience data for millions of attendees and billions of interactions a year. You're not just building pipelines - you're building the infrastructure that determines the quality of every insight, recommendation, and decision Hive's customers make.
Build our ML Platform: Design and own the infrastructure that takes models from experiment to production - feature stores, training pipelines, model serving, and monitoring. You switch hats between data engineering and ML engineering, ensuring reliable, low-latency access to the features and infrastructure we need to build and ship models confidently. When a model degrades in production, you're the one who built the observability to catch it before the customer does.
Own the Full Pipeline - and Its Business Impact: From Change Data Capture through validation, transformation, and denormalization - you drive the stack end to end. But you also understand what breaks for a customer when a pipeline is late, a metric drifts, or a model gets stale data. You connect the technical dots to the business dots.
Treat Data as a Product: You don't ship pipelines - you ship data products that internal teams and customers depend on like a production API. You define SLAs, obsess over data health, build for discoverability.
Build and Leverage Agentic Systems: You bring an agentic engineering mindset to everything - both how you work and what you build. You use AI coding agents (e.g. Claude Code) as a force multiplier. And you build LLM-powered pipelines and autonomous agents that enrich, classify, and act on audience data at scale.

Our Tech Stack

Programming: Python and Django
Data Stores: Clickhouse, MySQL, MongoDB, ElasticSearch, Redshift
Orchestration: Airflow or Dagster

What you bring

8+ years of hands-on data engineering experience, with a proven track record of designing, building, and operating large-scale distributed data and ML systems in production - high-throughput event streams, real SLAs, and real consequences when things fail.
Core ML foundations (supervised/unsupervised, cross-validation, bias-variance, regularization, eval metrics) and common algorithms (regression, tree ensembles, clustering).
Feature engineering with Python ML tooling (pandas, scikit-learn; familiarity with PyTorch or TensorFlow).
Production ML pipelines and feature datasets feeding model training and inference.
MLOps practices: experiment tracking, model versioning/registry, deployment, and monitoring for drift/data quality.
Strong foundations in distributed systems principles - partitioning strategies, consistency models, backpressure handling, fault tolerance, and capacity planning at 10x the volume you designed for.
Experience applying LLMs and agentic systems in production data or ML contexts - whether enriching pipelines, automating classification, or building autonomous workflow components
A product and commercial orientation - you consistently frame technical decisions in terms of customer impact and business outcomes, and you have the stakeholder communication skills to make that case to non-technical audiences.

Who you are

Comfortable operating independently and making progress in ambiguous, fast-changing environments
Biased toward action. You’re willing to make decisions with imperfect information and iterate quickly, communicating with other teams inside product and engineering
Skilled at troubleshooting complex ML systems and building durable solutions when things break
Excited to shape the future of Hive’s data/ML infrastructure and team in a high-growth, fast-paced company

Nice to haves:

History of owning or re-architecting a data platform end-to-end in a fast-growing environment.
Background in SaaS or event-driven products where data systems directly power user-facing features.

Compensation/Benefits Package

Meaningful salary and equity: you're rewarded based on impact.
Work fully remote from the comfort of your home.
Flexible work hours: minimal meetings and no 9-5
Health & Dental coverage with Parental Leave top-ups in addition to EI benefits
Unlimited vacation/PTO: so you can be happy and healthy!

About Hive.co

Hive.co is a marketing platform for event marketers. We help brands personalize and automate their campaigns, using email and SMS, to empower them to sell out so they can focus on making their events unforgettable.

By integrating with ticketing partners like Ticketmaster and e-commerce partners like Shopify, we enable brands to access and act on all their customer data, so they can easily segment their list in thousands of ways, and send more customized, timely email campaigns that land in inboxes.

We started our company inside a University of Waterloo computer lab in early 2014, graduated from Y Combinator that summer (S14 batch) and have been growing ever since. Originally based in Kitchener, our team is now 100% remote and located all across Canada! We strive to provide an online work environment that allows team members to have a strong work life balance while still feeling connected to their team and Hive’s mission.

To learn more about our team check out our About Us page on our website: https://www.hive.co/about

Apply About employer

More about this job

Responsibilities

Design and own a cloud-native big data and ML platform to handle audience data for millions of attendees. Drive the full data pipeline from Change Data Capture to production, ensuring data health and the delivery of reliable data products.

Requirements

Requires 8+ years of experience in large-scale distributed data and ML systems with strong foundations in MLOps and distributed systems principles. Candidates must have a product-oriented mindset and experience applying LLMs and agentic systems in production.

Skills

Data Engineering
ML Engineering
Python
Django
Clickhouse
MySQL
MongoDB
ElasticSearch
Redshift
Airflow
Dagster
MLOps
Distributed Systems
LLMs
Agentic Systems
Feature Engineering

Benefits

Equity
Remote work
Flexible work hours
Health coverage
Dental coverage
Parental Leave top-ups
Unlimited vacation/PTO

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Python
Django
Clickhouse
MySQL
MongoDB
ElasticSearch
Redshift
Airflow
Dagster
MLOps
LLM
Agentic Systems
Distributed Systems
Feature Stores
Change Data Capture
Pandas
Scikit-learn
PyTorch
TensorFlow
SaaS
Big Data
Data Pipelines
Model Monitoring
Cloud-native
Event-driven Architecture

Report this job