Founding Backend Engineer

Nxt Level; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Nxt Level is seeking a Founding Senior Backend Engineer in New York City for an in-person role to own the data platform end-to-end and build the team around it.

You will define canonical data models, ship the event backbone, enable analytics and experimentation, and create the integration architecture that makes adding EMR configuration feasible with minimal bespoke work.

Qualifications

• Systems-minded and data-opinionated, able to justify entity relationships.
• Comfortable with messy reality, pipelines, ETL/ELT, and third-party data cleaning.
• Event-driven by default, familiar with real-time architectures and durable systems.
• Integration-savvy, built platforms unifying multiple external systems into clean abstractions.
• AI-native and curious, leveraging LLMs for parsing/structuring and automation.

Responsibilities

• Own the data platform end-to-end from models to pipelines.
• Define canonical data models and ship the event backbone.
• Enable analytics, experimentation and data-driven decision making.
• Create and maintain the integration architecture for multiple systems.
• Build AI-enabled data QA and tooling to automate quality checks.

Skills

Systems-minded

Data-oriented

Pipelines

Event-driven

Integration

Job description

Location: New York City — In-Person

The Opportunity

Our client is hiring a Founding Senior Backend Engineer to own the data platform end-to-end and build the team around it. This is a true founding role: you will define canonical data models, ship the event backbone, enable analytics/experimentation, and create the integration architecture that makes adding EMR #5 configuration—not months of bespoke engineering.

If you’re energized by unglamorous but high-leverage infrastructure (data modeling, pipelines, events, integrations), this is a rare seat.

What Our Client Is Looking For

You’re likely a fit if you are:

• Systems-minded and data-opinionated: you treat data modeling as a craft and can explain why entities should relate a certain way
• Comfortable with messy reality: you’re excited by pipelines, joins, ETL/ELT, and cleaning inconsistent third-party data
• Event-driven by default: you’ve built (or deeply understand) real-time architectures, streaming/event backbones, and durable systems
• Integration-savvy: you’ve shipped platforms that unify multiple external systems into clean internal abstractions
• AI-native and curious: you naturally look for leverage (LLMs for parsing/structuring, automation for data QA, agent-based extraction when APIs don’t exist)

Bonus signals

• Experience with healthcare workflows, EMRs/EHRs, home health, or revenue-cycle concepts (authorization, billing, reimbursement)
• Familiarity with healthcare data modeling standards (e, FHIR-style entity thinking)
• Experience building experimentation frameworks or measurement systems tied to business outcomes
• Background in data platform teams (data engineering + backend/platform) at high-growth startups