Senior Software Engineer – Data Platform

Pearly

. 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.

Posted 3/3/2026full-timeNew York City • California, New York • 🇺🇸 United StatesSenior💰 $160,000 - $225,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformPostgresReactSQLTerraformTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PostgresETLdata modelingTypeScriptReactSQLCI/CDGitHub ActionsTerraformdata systems

Soft Skills

mentorshipcode reviewcollaborationcommunicationproblem-solvingleadershiporganizational skillstechnical documentationlong-term planningobservability

Certifications

Computer Science degreeengineering degree