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Added 3 months ago
EG
Sr. Data Platform Engineer
Etraveli Group
Toronto, ON
- Full-time
Tripstack is moving its entire data stack from bare-metal VMs to Kubernetes on OpenStack in a new data centre. We are looking for a senior infrastructure engineer who has done stateful…
Added 2 months ago
M
Senior TypeScript Engineer
MapsPeople
Toronto, ON
- Full-time
…large enterprise customers worldwide. We are looking for a Senior TypeScript Engineer to join our team and play a key role in building and evolving our platform using a modern…
Added 2 months ago
BV
Senior DevOps Engineer, Agentic Automation & Live Games
Big Viking Games
Remote, Canada
- Full-time
- Remote
Big Viking Games is hiring a Senior DevOps Engineer, Agentic Automation & Live Games to modernize the infrastructure behind our live-service games and help reinvent how those systems are…
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
H
Senior Software Engineer, Data Systems
Hive
Remote, Canada
- Full-time
- Remote
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…
Added 2 months ago
E
Senior Product Engineer
evolo.ai
Toronto, ON
- Full-time
Your seat: you’ll ship a category-defining product end to end, full stack, from user
Added 2 months ago
Senior Process Engineer (12 Month Contract)
Aspect Biosystems
Vancouver, BC
We're looking for a highly motivated Senior Process Engineer to take on an important role in our dynamic and dedicated Process Development team. Reporting to the Head of Process…
Added 2 months ago
AB
Associate Process Engineer (12 month contract)
Aspect Biosystems
Vancouver, BC
- $64,000 to $72,000 CAD / year
…developing these bioengineered cellular medicines by applying its full-stack tissue therapeutic platform, which integrates proprietary AI-powered bioprinting technology, therapeutic cells,…
Added 2 months ago
C
Senior Lead Java Fullstack Software Engineer
Citi
Mississauga, ON
- Full-time
10+ years of experience in full-stack web application development.
Added 2 months ago
C
Senior Full-Stack Engineer (Front-End Leaning), North Admin
Cohere
Remote, Canada
- Full-time
- Remote
You have strong coding abilities and are comfortable working across the stack.
Added 2 months ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Artefact North America
Montreal, QC
Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from…
Added 2 months ago
Senior, AI & Agentic Engineer
Artefact North America
Montreal, QC
Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production.
Added 2 months ago
Senior Software Engineer, Full-Stack & Frontend
MultiTech
Toronto, ON
Added 2 months ago
R
Senior Rails Engineer
Rockstar
Remote, Canada
- Remote
As a Senior Engineer at the company, you're responsible for designing, building, testing, and maintaining the core software our customers rely on every day. You'll take high command of a…
Added 2 months ago
JG
Senior AI Engineer Java
J&M Group
Toronto, ON
- Full-time
We are seeking an experienced and highly motivated Senior AI Engineer to join the Canada Segments Technology Strategy team. This role will accelerate business and technology transformation…
Added 2 months ago
S
Senior Database Engineer II
SurveyMonkey
Remote, Canada
- $95,200 to $137,000 CAD / year
- Full-time
- Remote
Understand and troubleshoot issues across the full stack (hardware, software, and network)
Added 2 months ago
FG
Lead Software Engineer, Full-Stack Applications - Ratings Technology
Fitch Group
Toronto, ON
- $180,000 to $220,000 CAD / year
Lead Software Engineer, Full-Stack Applications – AI Fluent
Added 2 months ago
W
Senior Software Developer, LLM Infrastructure
Wealthsimple
Canada
- Full-time
As a Senior Software Engineer on the ML Infrastructure team, you will design and implement the core backend and infrastructure powering our AI systems. You will work closely with data…
Added 2 months ago
AI & Agentic Engineer, Senior
Welcome to the Jungle
Montreal, QC
Artefact is looking for a Senior AI & Agentic Engineer: a full-stack engineer who takes AI features from idea to production.
Added 2 months ago
Analytics Engineer III, Assurance
ACV
Toronto, ON
The Analytics Engineer III on the ACV Assurance team is a skilled practitioner who transforms raw data into trusted, decision-ready models and reports that drive the business forward.…
Added 2 months ago
C
Staff Backend Software Engineer
Cognichip
Toronto, ON
- $184,000 to $225,000 CAD / year
- Full-time
Bridge the gap between backend services and UI requirements, delivering seamless full-stack capabilities where necessary.
Added 2 months ago
H
Senior Software Engineer, Machine Learning
Hive
Remote, Canada
- $123,600 to $187,900 USD / year
- Full-time
- Remote
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…
Added 2 months ago
C
Senior Software Engineer
Clutch
Toronto, ON
- $160,000 to $200,000 USD / year
- Full-time
Have experience building frontend, backend, or full-stack applications.
Added 2 months ago
F
Senior Security Engineer
Forma.ai
Toronto, ON
- Full-time
As a Senior Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and…
Added 2 months ago
WT
Senior Software Developer, LLM Infrastructure
Wealthsimple Technologies
Remote, Canada
- $152,900 to $189,000 CAD / year
- Full-time
- Remote
As a Senior Software Engineer on the ML Infrastructure team, you will design and implement the core backend and infrastructure powering our AI systems. You will work closely with data…

Hive

Senior Software Engineer, Data Systems

Remote, Canada

Remote

Full-time

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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

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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

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