Senior Data Engineer

Jane

10d•CA$121,600 - CA$190,000•Remote

About The Position

This is a new, founding team within our Engineering org. The customer data infrastructure that powers Jane's marketing and product decisions exists today, but it's been built incrementally, across teams, without dedicated ownership. Together, you'll assess what we have, help define where we're headed, and build the systems and standards that get us there. Some of what exists will stay. Some will be replaced. All of it needs a cohesive strategy. Our scope covers schema governance, source management, instrumentation standards and infrastructure, identity resolution, attribution capture, and a lightweight review process before new events ship. The team owns the collection and delivery layer end-to-end, event pipelines, CDP tooling, and source integrations. Together with your team, you'll help set architectural direction, evaluate current tooling, and define our data collection strategy, and build the systems that make it real. If you've ever wanted to own the engineering foundation that an entire company's customer data runs on: assessing what exists, deciding what stays and what goes, and building the event pipelines, schemas, and identity resolution layer from the ground up. This is that opportunity.

Requirements

A University Degree in Computer Science or a related STEM field plus 5+ years of hands-on experience as a data engineer or similar.
You've built and maintained event collection, customer data infrastructure, or data pipeline systems in production.
You've inherited and rationalized independently built pipelines, not just built from scratch.
Experience evaluating or implementing Customer Data Platforms including migrating or consolidating existing tooling.
Experience with privacy-compliant tracking and consent management.
You've worked with consent management platforms (OneTrust, Cookiebot, Enzuzo, or similar), understand how consent state affects data collection, and have designed instrumentation that holds up within those constraints, ideally including server-side tagging or tag management systems (GTM server-side, Tealium, or similar).
Strong opinions (loosely held) on schema design, event taxonomy, and data quality.
Experience with identity resolution, attribution, or cross-domain tracking.
Proficiency in JavaScript or TypeScript and SQL (required).
A collaborative, pragmatic communicator who can set standards that teams actually follow and explain technical decisions clearly across engineering, product, BI, marketing, and leadership.
Comfort working with AI tools as part of your day-to-day workflow.

Nice To Haves

Experience in healthcare or other regulated environments is a plus.
Python is a strong asset.
Familiarity with Snowflake, Looker, or similar warehouse and BI tooling is helpful.

Responsibilities

Build and maintain Jane's customer data infrastructure end-to-end: the systems, pipelines, and source integrations that carry product and marketing events from collection to warehouse.
Drive tooling strategy for Jane's collection layer, including our CDP, event pipeline, and ingestion infrastructure.
Establish instrumentation standards within engineering, product, and marketing, defining how product and web events are structured, named, versioned, and validated, while ensuring clean handoffs, shared standards, and alignment on what good data looks like at Jane.
Take ownership of identity resolution and attribution at the collection layer.
Navigate the realities of consent-gated instrumentation.
Work directly with marketing, paid media, analytics, marketing operations, BI, and product as primary stakeholders, including on attribution questions, campaign tracking, conversion data, and the integrations that connect our marketing tools to the warehouse.