Founding Data Platform Engineer

Zingage; New York (NY); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Competitive base and equity

Equipment stipend

Gym membership in NYC

Lunch and dinner on workdays

Flexible time off

Office snacks + events

Job summary

Zingage (Kuzushi Inc.) is seeking an on-site Engineer in New York City to build the horizontal data layer that makes every agent decision measurable. You will own end-to-end data pipelines, the real-time event backbone, and the integration platform that unifies EMR data and supports RCM ambitions.

Lead analytics tooling and experimentation, enabling rapid validation of improvements across client outcomes and revenue cycles with a collaborative, hands-on team.

Qualifications

• Experience building data pipelines and ETL processes for EMR-like data.
• Strong data modeling skills with an emphasis on canonical visit/authorization/billing models.
• Ability to design real-time event backbones and integration platforms.

Responsibilities

• Own the outcome data layer connecting agent decisions to customer-level metrics.
• Develop the real-time event backbone for status changes and clock-ins.
• Build a scalable integration platform across multiple EMR systems.
• Provide analytics and experimentation tooling to validate improvements.

Skills

ETL

Data modeling

Real-time data

Analytics tooling

Job description

Build the horizontal data layer that makes every agent decision measurable.

New York City Full time On-site Engineering

Casey fills shifts today. Tomorrow, Casey protects authorized hours, maximizes utilization, and owns the revenue cycle from referral to reimbursement. The bridge between "shift filler" and "revenue engine" is the data platform you're going to build.

We operate a sophisticated multi-agent system against four major EMRs (WellSky, HHAeXchange, AlayaCare, Axxess), 29,000+ providers of serviceable TAM, all of whom chose us as their system of action. Our agents already generate 25-30% of daily activity in some of those platforms. The volume is accelerating.

What we need now is the horizontal data layer that makes every agent decision measurable against customer-level business outcomes: per-client, per-caregiver, per-agency, over weeks and months. That's the foundation our experimentation culture, our ML roadmap, and our RCM ambitions all rest on. You own it end-to-end, and you build the team around it.

What you'll own

• - The outcome data layer, the instrumentation connecting every agent decision to customer-level business metrics: client retention, caregiver satisfaction, authorization utilization, hours erosion. The foundation for everything our AI/ML work depends on, every ROI claim we make to customers, and every experiment we run.
• - The real-time event backbone: visit status changes, clock-ins, call-outs, ranking decisions flowing as events any system can consume in real-time. This is what makes the EMR polling and rate-limiting problems structurally go away instead of being band-aided.
• - The integration platform: canonical data models across WellSky, HHAeXchange, AlayaCare, and Axxess so that adding EMR #5 is configuration, not 30+ bespoke commits. Also the foundation for RCM: you need unified authorization and billing models before you can build agents that optimize revenue.
• - Analytics and experimentation tooling: warehouse architecture that makes it trivially easy for any engineer to answer "did this change improve customer outcomes?" without writing a custom query every time.

Who you are

• - Humble about and genuinely excited by the unglamorous work: data pipelines, ETL, cleaning up messy EMR data, building the joins nobody has written. You see the invisible infrastructure the way a great plumber sees plumbing.
• - Opinionated about data modeling as a craft. FHIR standards, canonical visit/authorization/billing models: "here's how these entities should relate, and here's why this model compounds downstream."

The arc

• - First quarter: build the outcome data layer and the real-time event backbone. Connect agent decisions to customer metrics. Make the experimentation culture possible.
• - Second quarter: integration platform abstraction. Canonical data models. EMR #5 becomes configuration. The path to RCM opens.
• - Year-end: you've built and are leading a 3-5 person data platform team (integration engineers, data engineers, analytics engineers). You've become the Head of Data Platform.

The process

• - Intro call (45 min, remote): Daniel walks you through the role and the data platform gap. You walk us through a data or integration platform you've built and the design decisions you'd make differently now.
• - Technical exercise (async, own time): we hand you a reconciliation dataset with real-world inconsistency patterns. You design a detection and classification system and propose resolution strategies. Record a Loom walking through your thinking.
• - On-site day (half day, in-office): review + live extension of your exercise, architecture conversation, close with the founders.
• - Offer.

What we offer

• - Competitive base and meaningful equity. If this works, it should work for you.
• - Equipment stipend: whatever setup makes you fast.
• - Luxury gym membership in NYC. We work in health care. Yours counts too.
• - Daily lunch, and dinner when work runs past dark. Big fan of late-night jams!
• - Time off as needed. We measure output, not hours at a desk.
• - Happy hours, poker nights, and builder events in our Soho office.
• - Snacks in office, including team favorites like Gruns gummies, sardines, protein bars, and midday froyo runs.

Zingage (Kuzushi Inc.) is an equal opportunity employer.