Senior Data Engineer (Hybrid)

Torontofull-timesenior

Data EngineerData

0 views0 saves0 applied

Apply Now

Quick Summary

Overview

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.

Technical Tools

airflowdbtkafkapythonsqlab-testingdatabase-designetl

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?

We’re looking for a Senior Data Engineer to help us revolutionize how small businesses harness data. This isn’t just another pipeline role—it’s an opportunity to shape the foundation of AI-driven, velocity-powered insights that fuel everything we build at Homebase.

You’ll develop and maintain pipelines, models, and reporting that turn raw data into smarter products and faster solutions. This role requires both technical craft and ownership—you’ll take projects from idea to production, ensuring scalability, reliability, and measurable business impact.

Design, develop, and optimize data pipelines to process structured & unstructured data at scale
Build and maintain data models (fact, dim, SCD2, medallion/layered, marts)
Create reports and dashboards to support business performance analysis
Partner with product, data science, and analytics teams to enable AI-powered features
Support data architecture transformation & migration on Databricks
Troubleshoot and resolve data quality/performance issues quickly
Optimize queries and enforce best practices for reliability and velocity
Drive continuous improvement of workflows through automation and experimentation
Own projects end-to-end: planning → execution → delivery

Experience with DBT, Airflow, Kafka, API/S3 ingestion

Comfort with deploying/monitoring ML models in production (batch, streaming, real-time inference)

Ability to explain technical concepts clearly to non-technical teammates

Ownership mindset: self-driven, proactive, accountable

What We Offer

~1 min read

✓💰 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

✓🤖 AI Access, For Real: We invest in builders and believe that curiosity shouldn't have a paywall. That means you'll have access to paid AI tools with minimal restrictions, so you can build, experiment, and level up your craft.

✓👶 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.

Meet the Talent Acquisition team, Mavel W.
Meet the Hiring Manager, Paul W.
Participate in Technical Assessments
Background Check + Offer Stage
Welcome to the team, Homie 🎉

About the Role

~1 min read

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 150,000 small (but mighty) businesses rely on us to make work radically easier. Together, we’ve tracked over a billion hours for 2M+ 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.