Senior Backend Developer, Python, Data Engineering, GCP

NIR-YU

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

Posted 10/2/2026full-timeRemoteSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining Python backend services and APIs, with a strong focus on ETL pipeline design and management of Google Cloud Platform services. Proficient in utilizing BigQuery for complex data analysis and frontend technologies like React and Next.js to ensure seamless integration between backend and UI.

Highest-signal resume keywords

Python Backend DevelopmentBigQuery ExpertiseGoogle Cloud Platform ManagementETL Pipeline DesignReact / Next.js / TypeScript Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonBigQuerySQLETL PipelinesAsynchronous WorkflowsReactNext.jsTypeScriptAI Coding ToolsData Analysis

Soft Skills

Fluent English

Tools & Technologies

Google Cloud PlatformCompute EngineCloud StoragePub/SubPostHog

Industry Keywords

Real Estate DatasetsZIP CodesHigh-Traffic ApplicationsData IngestionUser Adoption

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformJavaScriptNext.jsPythonReactSQLTypeScript

About the role

Key responsibilities & impact

Build and maintain Python backend services, APIs, and asynchronous workflows in production
Design and optimize ETL pipelines, scheduled jobs, and complex BigQuery queries on large historical and real estate datasets covering 30,000+ ZIP codes
Manage Google Cloud Platform services including Compute Engine, BigQuery, Cloud Storage, Pub/Sub, monitoring, and load balancing
Precompute, package, compress, and cache data to efficiently serve high-traffic applications
Make frontend adjustments in React, Next.js, and TypeScript using AI assistants to connect backend APIs to the UI
Own features end-to-end from data ingestion and ETL processing through BigQuery, APIs, and frontend delivery
Monitor production features to evaluate user adoption and performance using PostHog product analytics

Requirements

What you’ll need

Strong professional experience developing production backend systems and APIs in Python
Deep expertise with BigQuery and advanced SQL working with large datasets (historical/geographic data)
Direct experience managing GCP infrastructure (Compute Engine, Cloud Storage, Pub/Sub)
Experience building ETL pipelines, background jobs, queues, and asynchronous workflows
Enough React / Next.js / TypeScript knowledge to productively work inside an existing frontend codebase
Daily hands-on use of AI coding tools (Claude, Cursor, Copilot) for refactoring, writing tests, and building frontend components
Fluent English for daily 1:1 calls with the CEO
Full availability during Central Time hours