Senior Data Engineer

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  "source_hash": "2c0cc4b51fff54711881dac2cfcdf79be54099c8b48a4772aae2e61ebd8eddde",
  "last_changed_at": "2026-05-29T07:01:49.662Z",
  "active_status": "active"
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{
  "language": "en",
  "location": {
    "raw": "Toronto",
    "city": "Toronto",
    "region": "ON",
    "country": "Canada",
    "is_remote": false,
    "confidence": 0.75
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  "inferred_at": "2026-06-06T07:56:55.424Z",
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      "Canada"
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  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "CAD"
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{
  "lists": [
    {
      "text": "You will:",
      "content": "\n<li>Own the data platform end-to-end — ingestion, transformation, storage, query, and access — and drive its roadmap as the company's data needs grow</li>\n<li>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</li>\n<li>Model the warehouse: design SCD tables, event tables, and the conventions other engineers and analysts follow when adding new data</li>\n<li>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</li>\n<li>Own the security and compliance backbone of our data systems, including audit logging, access control, and temporary-access workflows</li>\n<li>Optimize backend query performance where the data layer meets product code — reader-replica routing, indexing, caching, and IO instrumentation in our Java/Spring services</li>\n<li>Lead investigation and remediation when data infrastructure misbehaves — IOPS spikes, pipeline failures, schema drift, late data — and make the fixes durable</li>\n<li>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</li>\n<li>Mentor engineers and analysts across the company on how to work with the data platform</li>\n"
    },
    {
      "text": "What you bring:",
      "content": "\n<li>5+ years of experience building production data pipelines and platforms</li>\n<li>Deep Python (PySpark) and SQL fluency, including tuning Spark jobs at scale</li>\n<li>The skills and willingness to work on the services around the data layer (Java, Spring Boot)</li>\n<li>Hands-on experience with distributed compute (Spark/EMR), streaming (Kinesis), and object storage (S3)</li>\n<li>Solid Postgres fundamentals — query optimization, indexing, replication, replica routing, and a feel for when the database is the bottleneck</li>\n<li>Experience with Iceberg and Trino, or similar</li>\n<li>Comfort with CI/CD and Terraform</li>\n<li>Already building with AI — frontier models, agentic coding tools, or something you hacked together last weekend</li>\n<li>Track record of working across teams that don't speak your language (product, ops, etc.)</li>\n"
    },
    {
      "text": "About you: ",
      "content": "\n<li>You take ownership of the platform's reliability, cost, accessibility, and compliance — not just the tickets you happened to ship</li>\n<li>You think about security and PII/PHI handling as core engineering work, not as someone else's problem</li>\n<li>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</li>\n<li>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</li>\n<li>You take pride in your work and have good judgment on what to prioritize when everything feels urgent</li>\n"
    },
    {
      "text": "What's in it for you: ",
      "content": "\n<li>Compassionate and driven colleagues in a fun environment where success is celebrated</li>\n<li>Accelerated career growth in a fast-growing company</li>\n<li>Coaching from experienced engineering leaders</li>\n<li>Direct access to executives and a transparent company culture</li>\n<li>Rare opportunity to change an industry and lives of millions</li>\n<li>We are reinventing healthcare / pharmacy - your (grand)parents and your (grand)children will understand and appreciate what you do</li>\n<li>Medical / Dental / Vision</li>\n<li>Generous Vacation Policy - 15 days of paid vacation in the first year, then increases to 20 days after one year</li>\n<li>11 Paid Holidays</li>\n<li>Work with a collaborative team out of our office at WaterPark Place, in the Harbourfront area just south of Union Station</li>\n"
    }
  ],
  "country": "CA",
  "createdAt": 1779988768457,
  "updatedAt": null,
  "categories": {
    "team": "Engineering",
    "location": "Toronto",
    "commitment": "Full-time",
    "department": "Engineering, Product, Research",
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