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Data & ML Platform Engineer (Hybrid)

Hybrid

Part remote, part office, you need to live within commuting distance of a named location.

Hybrid · Toronto

Employer listed it 5 days ago · Added 4 days ago

First listed 5 days ago and still open.

Salary

$110k to $160k per year

Location

Hybrid · Toronto

Timezone

Not stated

Contract

Full-time

Experience

Mid

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: 🌟 Work Your Way: Work From Anywhere Month + meeting-free weeks yearly
Contract: Not mentioned in the advert
Experience asked for: Not mentioned in the advert
Pay: Not mentioned in the advert

Remote flexibility

Hybrid

This role is only partly remote, the employer expects time in the office around Toronto, Hybrid, so you need to live within commuting distance.

What the employer says

Source listing states candidate location: "Toronto, Hybrid"
Listing mentions "Hybrid"

What Nomaders makes of it

Not suitable if you plan to move between countries

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Experience: employer states

Written as a nice-to-have

“Infrastructure-as-code experience, ideally Terraform.”

Questions worth asking: Nomaders interpretation

This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

Hi, Future Homie!

At Homebase, you’ll join a team that’s bold, fast-moving, and obsessed with helping small businesses thrive. We build with empathy, act with urgency, and take big swings that drive real-world impact. Here, every Homie shows up to raise the bar, support one another, and celebrate wins as a team.

We’re not just building an app—we’re building unstoppable teams. So what do you say, are you in?

📍Your Impact Starts Here

Every data and AI feature at Homebase runs on the platform you’ll help build. Our AI-powered product work is moving fast, and the platform underneath it has to move faster. You’ll be one of two engineers who carry that build.

You’ll own how data gets in, how the platform runs, and how models and data get served back to the product, with real ownership from day one.

These are the key ways you’ll contribute and create impact in this role:

Own data-in. Build and run CDC and streaming pipelines (Kafka, Debezium, Spark streaming into Delta), including replay, restream, and ingestion SLAs.

Own the data platform. Manage Databricks, Unity Catalog, warehouses, and Terraform, with CI/CD and DAB deploys for data infrastructure.

Build the serving layer. Ship gRPC services, move batch workloads to real-time inference, and make LLM latency and cost visible.

Grow the ML foundations. Evolve our feature store and MLflow practice, and work with data science to take proofs of concept to production.

Be AI-first in how you build. Use AI-assisted tools to build, test, and operate faster, experiment with new capabilities, and share what works with the team.

Partner across teams. Work with data engineering, data science, and product engineering to turn customer needs into reliable systems.

Share the on-call. Join the team’s on-call rotation, which has its own escalation path, and help make it quieter over time.

🚀 The Foundation for Success - These are the experiences and strengths that will set you up for success in this role:

Production experience with distributed streaming systems (Kafka and CDC).

Hands-on Spark and Delta experience.

Strong Python and SQL.

Experience with container infrastructure (Docker, ECS, or Kubernetes).

Infrastructure-as-code experience, ideally Terraform.

Solid data modeling fundamentals.

Comfort being part of an on-call schedule.

AI fluency: you already experiment with AI tools in your engineering workflow and can share what you learned.

Comfort moving quickly through ambiguity, with clear communication across technical and non-technical teams.

Requirements

The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.

Benefits

·💰 Ownership & Savings: Stock options + TFSA/RRSP with 4% company match
·🏥 Health & Wellness: Comprehensive medical, dental, and vision for you and your dependents
·⏰ Paid Time Off: Flexible PTO + company holidays + designated focus periods
·👶 Family Support: Maternity/Parental Leave EI top-up support offered (after 6 months of service)
·🌟 Work Your Way: Work From Anywhere Month + meeting-free weeks yearly

How to apply

1Check the flexibility label above, hybrid, matches where you plan to live and work.
2Tailor your CV to the role at Homebase, mentioning your remote working experience.
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.