Senior Full-Stack Engineer (React/Python) - Remote & Flexible

BairesDev; Palo Alto (CA); Hybrid; CLP 88,670,000 - 128,079,000; Full time

Benefits offered by this job

Remote work

USD or local currency compensation

Hardware setup for home work

Flexible hours

Paid parental leaves & vacations

Global, multicultural team

Mentorship & growth opportunities

Job summary

BairesDev, a global tech services company, seeks a Senior Full Stack Developer (React/Python) to build data-dense React/TypeScript interfaces backed by Python services. You will handle data transformation, API integration, and testing, ensuring performance on large datasets.

Join a 100% remote team with flexible hours and a competitive compensation package in USD or local currency. Expect mentorship, growth opportunities, and collaboration with top global talent.

Qualifications

• 5+ years of experience developing with React and TypeScript.
• Strong proficiency in Python for data transformation, API integration, and testing.
• Experience solving front-end performance challenges for large datasets.
• Experience with REST API and typed SDK integration.
• Solid SQL and data modeling skills, including normalization, keys, and record identity.

Responsibilities

• Develop data-dense React and TypeScript interfaces, including large tables, grids, and virtualized views.
• Write Python code for data transformation, API integration, and automated testing.
• Tackle front-end performance challenges for large datasets via profiling and rendering strategies.
• Build integrations against REST APIs and typed SDKs.
• Model data with normalization, keys, and record identity.

Skills

React

TypeScript

Python

REST APIs

SQL

Data Modeling

Performance Tuning

Frontend

Tools

Palantir Foundry

Job description

BairesDev, a global tech services company, seeks a Senior Full Stack Developer (React/Python) to build data-dense React/TypeScript interfaces backed by Python services. You will handle data transformation, API integration, and testing, ensuring performance on large datasets.

Join a 100% remote team with flexible hours and a competitive compensation package in USD or local currency. Expect mentorship, growth opportunities, and collaboration with top global talent.