Senior Data Engineer - Customer Signals & Instrumentation

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Meet the Hiring Manager Hi, I'm Kim Beaudin, Development Manager at Jane. For the last year I've been responsible for building the engineering side of Jane's marketing platform from the ground up. Now we're building something new: a small, founding engineering team responsible for Jane's customer data infrastructure. Jane is used by thousands of clinics and hundreds of thousands of practitioners every day - and we're growing. As we scale, the decisions we're making are getting more complex and higher stakes. Those decisions deserve a data foundation that's built for where we're headed, not just where we've been. We've done a lot with what we have. Smart people across engineering, BI, and marketing have built real value, but we've reached a point where event instrumentation, attribution, and identity resolution need dedicated ownership to take the next step. 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. What Impact We're Looking for You to Make 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. Today there are multiple independently configured sources with different conventions; you'll bring consistency and reliability. Drive tooling strategy for Jane's collection layer, including our CDP, event pipeline, and ingestion infrastructure. We currently run RudderStack and are evaluating the right long-term stack; you'll help determine what that looks like and build toward it while keeping the lights on. 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. A prospect's journey crosses multiple channels, domains, and touchpoints (including marketing pages, landing pages on third-party platforms, and a separate signup application), and that journey needs to stitch together cleanly so that funnel data is trustworthy and Jane has a reliable picture of what's driving growth. Navigate the realities of consent-gated instrumentation. Jane operates in healthcare, which means our tracking infrastructure interacts with PHI compliance requirements, consent management, tag management, and third-party marketing tools. You'll design instrumentation that works reliably within those constraints. 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. The stakeholder surface is wide and cross-functional, and your ability to build trust across teams matters as much as your technical depth. What Experience We Need 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. Greenfield-only experience is not sufficient for this role. 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 managemen

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