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, Big Query, and APIs, all the way to shipping on the frontend (React/Next.js/Type Script) using AI tools (Claude, Cursor, Git Hub Copilot).

• 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 Big Query queries on large historical and real estate datasets (30,000+ ZIP codes).
• GCP Infrastructure:
  Manage Google Cloud Platform services (Compute Engine, Big Query, 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, Type Script) 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 (Post Hog).

• Python & APIs:
  Strong professional experience developing production backend systems and APIs in Python.
• Big Query & Advanced SQL:
  Deep expertise with Big Query 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 / Type Script 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.

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