Sr Backend Developer (Python / Data Engineering / GCP)

**The Role

**

This is not a pure backend role, nor is it a "ticket-closing" position. It is a hands-on role focused primarily on Backend + Data Engineering (80%), where the engineer owns features end-to-end: from data ingestion, ETL processing, BigQuery, and APIs, all the way to shipping on the frontend (React/Next.js/TypeScript) using AI tools (Claude, Cursor, GitHub Copilot).

**Responsibilities

**

Backend & APIs

Build and maintain Python backend services, APIs, and asynchronous workflows in production.

Data Engineering & SQL

Design and optimize ETL pipelines, scheduled jobs, and complex BigQuery queries on large historical and real estate datasets (30,000+ ZIP codes).

GCP Infrastructure

Manage Google Cloud Platform services (Compute Engine, BigQuery, Cloud Storage, Pub/Sub, monitoring, and load balancing).

Optimization & Caching

Precompute, package, compress, and cache data to serve high-traffic applications efficiently.

AI-Enabled Full-Stack Development

Make frontend adjustments (React, Next.js, TypeScript) using AI assistants to connect backend APIs to the UI without needing a dedicated frontend developer.

Product Ownership & Analytics

Monitor features in production to evaluate user adoption and performance using product analytics (PostHog).

**Requirements

**

Python & APIs

Strong professional experience developing production backend systems and APIs in Python.

BigQuery & Advanced SQL

Deep expertise with BigQuery and advanced SQL working with large datasets (historical/geographic data).

Production GCP

Direct experience managing GCP infrastructure (Compute Engine, Cloud Storage, Pub/Sub).

ETL & Async Processing

Experience building ETL pipelines, background jobs, queues, and asynchronous workflows.

Functional Frontend Skills

Enough React / Next.js / TypeScript knowledge to productively work inside an existing frontend codebase.

AI-Native Development

Daily hands-on use of AI coding tools (Claude, Cursor, Copilot) for refactoring, writing tests, and building frontend components.

Communication & Availability

Fluent English for daily 1:1 calls with the CEO and full availability during Central Time hours.

**Nice-to-Haves

**

• Experience with product analytics tools (PostHog, Mixpanel).
• Work with geographic (GIS) or time-series data.
• Caching and data packaging strategies for high-traffic applications.