
Senior Data Engineer – Hybrid
Homebase (YC W21)
full-time
Posted on:
Location Type: Hybrid
Location: Toronto • Canada
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Salary
💰 CA$133,500 - CA$157,500 per year
Job Level
About the role
- 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
Requirements
- 5+ years of software/data engineering experience
- Expertise in SQL (window functions, CTEs, complex joins)
- Intermediate–advanced Python (OOP, testing, package mgmt)
- Experience with Databricks (streaming, Unity Catalog, resource mgmt)
- Experience with Spark (partitioning, skew handling, delta ops, Spark UI)
- Strong knowledge of data modeling & architecture
- 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
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data pipelinesdata modelsSQLPythonDatabricksSparkDBTAirflowKafkadata modeling
Soft Skills
communicationownership mindsetself-drivenproactiveaccountable