Sr Backend Developer (Python / Data Engineering / GCP)

Openkrill; United States; A distancia; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Openkrill is seeking a hands-on Backend + Data Engineer who owns features end-to-end—from data ingestion and ETL to BigQuery and APIs, extending to frontend tweaks with React/Next.js/TypeScript. You’ll work with AI tools like Claude, Cursor, and Copilot to connect backend APIs to the UI.

The role emphasizes Python backend development, BigQuery expertise, and production GCP management, with a focus on observable product analytics and fast, scalable data delivery.

Formación

• Production backend systems and APIs in Python.
• gap:1
• Deep expertise with BigQuery and advanced SQL.
• gap:2
• Experience managing GCP infrastructure (Compute Engine, Cloud Storage, Pub/Sub).
• gap:3
• ETL pipelines and asynchronous workflows.
• gap:4
• Frontend involvement with React/Next.js/TypeScript.

Responsabilidades

• Build and maintain Python backend services and APIs.
• Design and optimize ETL pipelines and BigQuery queries.
• Manage GCP services (Compute Engine, Cloud Storage, Pub/Sub).
• Precompute, package, cache data for high-traffic apps.
• Adjust frontend with AI-assisted development (React/Next.js/TypeScript).
• Monitor features in production using product analytics (PostHog).

Conocimientos

Python

APIs

BigQuery

SQL

GCP

ETL

Async processing

Frontend basics

AI coding tools

Communication

Herramientas

BigQuery

Pub/Sub

Compute Engine

Cloud Storage

PostHog

Descripción del empleo

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.