Data & ML Platform Engineer (Hybrid)

Reposted 7 Days Ago
Be an Early Applicant
Toronto, ON
Hybrid
Senior level
HR Tech • Software
No small business left behind.
The Role
The Data & ML Platform Engineer will design and implement data and ML components, optimize data ingestion, support architecture transformation, and drive automation and improvement of workflows.
Summary Generated by Built In

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

This platform engineer will be part of the team responsible for designing and implementing data and ML platform components to enable data engineering, data science, and product teams to build data- and ML-driven features, ensuring scalability, reliability, and seamless integration across workflows.

  • Design, develop, and optimize the ingestion of large volumes of structured and unstructured data from diverse sources.

  • Support data architecture transformation initiatives on Databricks, ensuring scalable and efficient systems.

  • Guide the design and implementation of platform components for the training, deployment, and monitoring of ML models in production environments.

  • Provide expertise on industry best practices, tools, and technologies in ML engineering.

  • Drive the continuous improvement of data and ML workflows through automation and innovative solutions.

  • Take full ownership of projects, ensuring successful delivery from planning to execution.

  • Collaborate with cross-functional teams to gather business requirements and translate them into effective technical solutions.

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

  • 5+ years of software development experience, specializing in data and ML

  • Expertise in SQL, Python, and Databricks

  • Experience with Airflow, Kafka, and Redshift

  • Proficiency in data modeling and database design.

  • Proficient in building and deploying machine learning models (including language models)

  • Proficient in building model serving pipelines for batch, streaming, and real-time inference

  • Driving the operationalization of ML models, ensuring seamless deployment, monitoring, and continuous integration/continuous delivery (CI/CD) pipelines for ML systems.

  • Strong problem-solving skills with a strategic mindset and attention to detail

  • Effective communicator and collaborator across technical and non-technical stakeholders

🤝  The Homie Way - These principles guide everything we do—from how we work and make decisions to how we show up for each other.

  • 💡 Be Customer Obsessed – Solve problems with empathy and creativity.

  • Move Fast, Learn Fast – Experiment, take action, and grow every day.

  • 🎯 Own Your Impact – Think big, focus on what matters, and make decisions you stand behind.

  • 🏆 Master Your Craft – Excellence fuels impact—show up, step up, and make your mark.

  • 🏅 Win Together – Put goals over roles, lead with trust, and connect to our mission and each other.

What We Offer

  • 💰 Ownership & Savings: Stock options + TFSA/RRSP with 4% company match

  • 🏥 Health & Wellness: Comprehensive medical, dental, and vision for you and your dependents

  • ⏰ Time Flexibility: Flex time off + 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

  • 🛡️ Protection Plans: Life insurance + short/long-term disability coverage

  • 🍽️ Workspace Perks: Meals provided, team offsites, and Customer Days

  • 💼 Our Hybrid Rhythm: We believe collaboration drives impact. That’s why Tuesday and Wednesday are our required in-office days—a time to move faster as a team, build deeper connections, make better decisions, and build together.

What to Expect During the Interview Process

  • Meet the Talent Acquisition team, Mavel W.

  • Meet the Hiring Manager, Kanchana P.

  • Participate in a Talent Showcase

  • Meet Cross-functional Partners

  • Background Check + Offer Stage

  • Welcome to the team, Homie 🎉

💜 Belonging at Homebase - We're committed to fostering a welcoming space where every Homie can be their full self. Experience comes in many forms—so if you're excited about this role, even if you don’t meet 100% of the qualifications, we encourage you to apply! 

Homebase will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.

👋 Hey, We’re Homebase

Unstoppable teams start here.

Homebase is the everything app for hourly teams—built to simplify the day-to-day and superpower local businesses. With tools for scheduling, time clocks, payroll, communication, HR, and more, we help teams stay connected and in control. Today, over 100,000 small (but mighty) businesses rely on us to make work radically easier. Together, we’ve tracked over a billion hours for 2.5+ million workers—and we’re just getting started.

At Homebase, we celebrate diversity and are proud to be an equal opportunity employer. We welcome all candidates and do not discriminate based on any legally protected status. If you need accommodations during the hiring process, please let us know—we’re committed to ensuring fair and equitable access for all.

Top Skills

Airflow
Databricks
Kafka
Python
Redshift
SQL
Am I A Good Fit?
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The Company
Denver , CO
338 Employees
Year Founded: 2014

What We Do

Homebase is the everything app for hourly teams, with employee scheduling, time clocks, payroll, team communication, and HR. 100,000+ small (but mighty) businesses rely on Homebase to make work radically easy and superpower their teams. Our mission is to make small business teams unstoppable.

Homebase is based in San Francisco, Houston, Denver, and Toronto. We are backed by leading venture investors Bain Capital Ventures, Baseline Ventures, Bedrock Capital, Cowboy Ventures, Emerson Collective, Khosla Ventures, L Catterton, Notable Capital, and Plus Capital.

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