Software Engineer (Data Systems)

Yuzu Health; New York (NY); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Significant ownership and equity

Support for personal learning and growth

Job summary

Yuzu Health is seeking a skilled professional to manage ETL processes and enhance data systems, with a focus on supporting 50,000 members. You will play a vital role in shaping our company culture and ensuring engineering perspectives influence product focus.

The ideal candidate will have 5+ years of experience with complex data systems and strong communication skills. This full-time role requires in-person attendance at our Flatiron NYC office.

Qualifications

• 5+ years experience with complex and large data systems.
• In-person work required 5 days/week in NYC office.
• Fast-paced personality with strong communication skills.

Responsibilities

• Manage and scale ETL/reverse ETL processes for 50k+ members.
• Design improvements for data systems' audibility and robustness.
• Influence product thinking around downstream systems.

Skills

Experience with complex data systems

Strong communication skills

Self-directed

Curious

Job description

Background

At Yuzu, we’re building the next‑generation health insurance company. We are NOT building a digital brokerage or an AI wrapper – we are going deeper to build the foundational infrastructure required to power tomorrow’s health plans. We believe that software can unlock the ability to build health insurance that is affordable, adaptable, and scalable. Yuzu’s platform will be core to this future.

So how does this actually work? Over 70% of employer‑sponsored health plans are self‑funded, meaning the employer acts as the insurer and directly covers employees' healthcare costs. This allows companies to customize benefits, gain flexibility, and save money. Self‑funded employers partner with a Third‑Party Administrator (TPA) to handle the behind‑the‑scenes plan administration, like processing claims and managing benefits.

The TPA industry is a $500bn sleeper industry that has historically been seen as a services business, bogged down by manual processes and legacy systems (for context, our team couldn’t even access these on our Macs).

Yuzu is a vertically integrated & tech‑enabled TPA, currently servicing thousands of employees. We differentiate by helping innovative health plans come to life by facilitating new ways to pay for and access healthcare covered by insurance. Yuzu’s goal is to make it as easy for any business to create and manage a custom health plan as it is to create a storefront on Shopify.

We’re backed by top VC firms and 10+ unicorn founders, including leaders at Stripe, OpenAI, Brex, Deel, Mercury, and Notion, and we’re building a formidable team to tackle the massive opportunity ahead.

Role

• Manage and scale the ETL/reverse ETL processes currently supporting 50k+ members' eligibility and claims.
• Design and implement improvements to audibility, robustness, and flexibility of existing data systems.
• Influence product thinking around downstream systems and how they interact with data that originates from external sources.

As an early employee you will

• Contribute across the entire codebase
• Set a large part of Yuzu’s company culture
• Direct the focus of our product from an engineering perspective

Qualifications

• Ideally 5+ years experience working with complex and large data systems
• In‑person 5 days/week in Flatiron NYC office required
• Self‑directed, curious, fast‑paced personality with strong communication skills

Nice to Haves

• Familiarity with EDI
• Experience with healthcare data and/or infrastructure

Our Commitment to You

• You will have significant ownership. Both equity and autonomy.
• We will invest in your learning and forgive your mistakes along the way.

Compensation

$180k to $260k annual salary, plus a meaningful equity component commensurate with the level of role at a Series A company in NY/SF.

Process

If we interview you, you can expect the following process

• Initial 30 minute intro call
• A 45 min – 1 hr technical interview
• A 30 minute project deep dive
• An onsite loop incorporating a practical programming exercise, a system design interview and a product interview
• We may speak with 1-2 references you provide.