Senior Data Engineer

Team: Engineering

Location: Toronto

Commitment: Full-time

Workplace Type: hybrid

You will:

• Own the data platform end-to-end — ingestion, transformation, storage, query, and access — and drive its roadmap as the company's data needs grow
• Build and evolve batch and streaming pipelines on PySpark/EMR, Kinesis, Lambda, and Step Functions, ingesting from Postgres, Salesforce, third-party vendors, and product event streams into our Iceberg-based lake
• Model the warehouse: design SCD tables, event tables, and the conventions other engineers and analysts follow when adding new data
• Partner with product, engineering, analytics, and operations stakeholders across the company to turn data requests into well-scoped, reliable pipelines — and write the docs and tooling that let them self-serve next time
• Own the security and compliance backbone of our data systems, including audit logging, access control, and temporary-access workflows
• Optimize backend query performance where the data layer meets product code — reader-replica routing, indexing, caching, and IO instrumentation in our Java/Spring services
• Lead investigation and remediation when data infrastructure misbehaves — IOPS spikes, pipeline failures, schema drift, late data — and make the fixes durable
• Use AI as a daily accelerant for pipeline scaffolding, schema work, and ad-hoc investigations — and ship internal AI tooling that lets other teams do the same
• Mentor engineers and analysts across the company on how to work with the data platform

What you bring:

• 5+ years of experience building production data pipelines and platforms
• Deep Python (PySpark) and SQL fluency, including tuning Spark jobs at scale
• The skills and willingness to work on the services around the data layer (Java, Spring Boot)
• Hands-on experience with distributed compute (Spark/EMR), streaming (Kinesis), and object storage (S3)
• Solid Postgres fundamentals — query optimization, indexing, replication, replica routing, and a feel for when the database is the bottleneck
• Experience with Iceberg and Trino, or similar
• Comfort with CI/CD and Terraform
• Already building with AI — frontier models, agentic coding tools, or something you hacked together last weekend
• Track record of working across teams that don't speak your language (product, ops, etc.)

About you:

• You take ownership of the platform's reliability, cost, accessibility, and compliance — not just the tickets you happened to ship
• You think about security and PII/PHI handling as core engineering work, not as someone else's problem
• You're a force multiplier: the docs, tools, and skills you leave behind make other engineers and analysts faster long after the original ticket closes
• You have a bias for shipping iteratively and instrumenting what you ship — you'd rather demo a rough v1 in two days than a polished v3 in two weeks
• You take pride in your work and have good judgment on what to prioritize when everything feels urgent

What's in it for you:

• Compassionate and driven colleagues in a fun environment where success is celebrated
• Accelerated career growth in a fast-growing company
• Coaching from experienced engineering leaders
• Direct access to executives and a transparent company culture
• Rare opportunity to change an industry and lives of millions
• We are reinventing healthcare / pharmacy - your (grand)parents and your (grand)children will understand and appreciate what you do
• Medical / Dental / Vision
• Flexible Vacation Time Policy 
• 12 Paid Holidays
• Work with a collaborative team out of our office at WaterPark Place, in the Harbourfront area just south of Union Station