Senior Software Engineer – Data Platform

🕒 March 3

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Pearly

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

⚕️ Healthcare Insurance

🤝 B2B

💳 Fintech

💰 $25k Pre Seed Round on 2022-04

Healthcare Insurance • B2B • Fintech

Pearly is a company that specializes in automating revenue cycle management (RCM) for dental practices. It provides services such as autopilot billing, accounts receivable collection, membership plans, and payment plans, aimed at reducing staff time and improving payment collection for dental organizations of all sizes, from individual practices to large dental service organizations (DSOs). By integrating with practice management software and offering insights through data analytics, Pearly enhances the overall financial experience for both dental offices and their patients.

📋 Description

• Own Pearly's data systems end-to-end: Postgres warehouse and OLTP infrastructure, ETL pipelines (bulk and real-time streaming), and data products and APIs. • Drive overall data architecture and harmonization across the platform — designing systems, abstractions, and algorithms that unify data from multiple EHRs, payment processors, and external vendors into a coherent, scalable layer. • Drive data modeling decisions with performance, observability, and operational excellence as first-class concerns. • Own vendor SDK integrations and vendor relationships on the technical side. • Ability to contribute across the full application stack (frontend/backend/db) in all application domains including payments, outreach automation, reporting, and internal tooling. • Guide human engineers and AI agents toward excellence through your own example, mentorship/documentation, and rigorous code review. You're a trusted final pair of eyes across all areas of the codebase. • Partner with Product from ideation through production release to define product specs that translate business goals into clear engineering requirements. • Own the technical spec — the guiding plan that shapes architecture, scope, and execution for every initiative. You think long-horizon, account for scale, and anticipate edge cases. • Think about AI as a system — not just personal productivity, but team-wide leverage, process, and tooling to optimize adoption and minimize friction. • Contribute to CI/CD, GitHub Actions, Terraform, and development infrastructure as needed — including speed and safety improvements to agent loops through efficient check systems, production-like sandboxes, and tools/skills/plugins.

🎯 Requirements

• Computer Science or similar quantitative / technical / engineering degree. • 8+ years deploying to production, with direct responsibility for high-scale platforms (100M+ records across accuracy-sensitive domain like healthcare or fintech). • Deep experience building data systems (warehouses, pipelines, APIs) using general-purpose languages and SQL rather than specialized data tools/frameworks. • Extensive experience in TypeScript or a strongly typed language with command of the full modern web stack including React. • Familiarity with a major cloud provider (GCP, AWS, or Azure). • Understanding of security and compliance requirements for PHI, PII, and financial data.

🏖️ Benefits

• Competitive salary, equity, and healthcare benefits • Meeting-light culture • Work with high-talent, high-integrity people who genuinely enjoy the art of building and competing • Flexible vacation / time-off policy