Spark Team Engineer

Who we are: At Arkana Laboratories, everyone has an important role to fill. Come join us and be a part of a team dedicated to making life better for those who need it most.

This place is packed with super-smart people who do their best work together. We work hard every day to advance our understanding of disease and provide world-class care to our patients in hopes of leaving our corner of the world a little better than we found it. While we are committed to improving the lives of thousands of patients, we never lose sight of the realization that they are the reason we get to create change in our field.

Built on generosity, teamwork, and the freedom to try new things, we take great pride in our work. Great ideas come from everywhere in this company and we celebrate each success and failure for the opportunity it gives us to keep reaching. For more than twenty years after our founder, Dr. Patrick Walker, wrote his goals on the back of a napkin, our people, culture, and values have remained strong.

About this position: As the Spark Team Engineer, you will be the technical half of SPARK, Arkana’s two-person embedded unit that owns the front of our AI-native development funnel. You will build the proofs of concept that decide what Arkana makes next, real enough that the answer is trustworthy and fast enough that the answer arrives in weeks, and you will do the data work most of those answers turn on. This is deliberately a hands-on individual contributor role: there is no team to delegate to, and it stays that way by design. Working alongside the Spark Team Product Manager on focused 2-to-4-week engagements across departments, you will help close every engagement with a documented decision: advance, return, or kill. Engagements are short and embedded, so you will need to interface well with people you just met, work alongside non-technical builders with patience and without condescension, and capture how a department actually operates in days, not weeks. Seniority is dictated by the candidate: the mandate is fixed, and the level, scope, and expectations that come with it are calibrated to the person who takes it.

PoC & Data Engineering:

• Build timeboxed proofs of concept designed to answer a specific business question
• Prepare Advanced concepts for handoff to the standardized deploy pipeline
• Own the data layer of every engagement: find and assess source data, build the pipelines and models a POC needs, and judge early whether the data can support the idea at all

Discovery & Engagement:

• Share the discovery work: sit with end users, absorb departmental process knowledge quickly, and turn what you hear into technical shape
• Assess feasibility, integration surface, and PHI/data boundaries during idea vetting
• Evaluate existing vibe-coded applications and/or problem statements during engagement zero and advance/return/kill triage