Founding Engineer - Backend & Data Platform ($175k-$225k + Equity) at Fintech startup trusted by Goldman Sachs and JPMorgan
Company: Jack & Jill
Location: Location not specified (Remote)
Type: Contract
Remote: Yes
Posted: 2026-05-19
About this role
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
She will pick the best candidates from Jack's network.
The next step is to speak to Jack.
Job Title
Founding Engineer - Backend & Data Platform
Salary
$175,000 - $225,000 + Equity
Company Description
Fintech startup automating mortgage lending for self-employed borrowers, backed by industry leaders and trusted by Goldman Sachs, JPMorgan, and Morgan Stanley.
Job Description
As the founding backend and data platform engineer, you will architect the infrastructure that powers non-traditional mortgage lending. You'll own the end-to-end data lifecycle—from ingesting banking and tax data via Plaid and Finicity to building canonical models and ML-ready pipelines. This high-agency role involves shaping the core product used by major global financial aggregators.
Location
San Francisco, Austin, NYC, Remote
Why this role is remarkable
- Significant architectural influence as a founding team member, building greenfield infrastructure for a product already trusted by Goldman Sachs, JPM, and Morgan Stanley.
- High-agency environment led by a team from Airtable and Opendoor, operating with a flat structure where engineers participate in the entire product lifecycle.
- Aggressive equity upside in a fintech solving a massive market gap for 76 million self-employed Americans who are currently underserved by traditional lenders.
What You Will Do
- Design and operate resilient data ingestion and normalization pipelines for complex financial sources including banking, tax transcripts, and accounting platforms.
- Build core platform infrastructure including authentication, webhooks, rate limiting, and vendor-agnostic abstraction layers to ensure system reliability and scalability.
- Develop in-house feature extraction pipelines and productionize ML models for income categorization, anomaly detection, and automated fi...