2 publicaciones de empleo destacadas en java jr. (¡Están contratando!)

Junior Full-Stack (Python + React) Developer
DataArt —Monterrey, N. L.
- Azure
- Administración de personal
- Análisis de datos
3h
Senior Fullstack Engineer - LATAM (Remote) New
Clara —Desde casa
- Home Office (Desde casa)
- Inglés
- Java
- JavaScript
7h

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Desarrollador/Programador de software Jr
PERSONAL BRANDS GROUP —Iztacalco, CDMX
Licenciatura en Ingeniería en Sistemas, Ciencias de la Computación, Desarrollo de Software o afín (trunca con portafolio de proyectos comprobable).
$10,000 por mes
Postulación rápida
Desarrollador/Programador de software Jr
PERSONAL BRANDS GROUP —Iztacalco, CDMX
Una empresa especializada en la confección y comercialización de *ropa formal, zapatos y accesorios para caballero*. Orientado a solución de problemas.
$10,000 a $12,000 por mes
Postulación rápida
6h

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Junior Full-Stack (Python + React) Developer

DataArt -
Monterrey, N. L.

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Información del empleo

Hace 3 horas

Cualificaciones

Jira
Inversión
Azure
Administración de personal
CSS
React
Análisis de datos
Git
Bloomberg
Java
SQL
Pandas
C++
Docker
JavaScript
Redux
Gestión de venta al por menor
Jenkins
TypeScript
Python
HTML

Descripción completa del empleo

Client: Our client is a US-based investment management business of an American Fortune Global 500 and Fortune 500 company whose subsidiaries provide insurance, investment management, and other financial products and services to both retail and institutional customers throughout the United States and in over 40 other countries.
Project overview: We are looking for a motivated Junior Full-stack (Python + React) Developer to join our team working on front office and related financial applications. In this role, you will contribute to data processing, analytics workflows, and application features under the guidance of senior engineers and domain experts.

Position overview: We are seeking a motivated Junior Full-Stack (Python + React) Developer to join our team. Under the guidance of senior engineers and domain experts, you will contribute to back-end data processing and analytics workflows, as well as the development of user-facing application features. This is an excellent opportunity to build technical proficiency in Python, React, data analysis, and complex financial systems within a fast-paced production environment.
This position requires full alignment with the EST time zone.

Responsibilities: Assist in developing and maintaining both Python-based backend services and React-based front-end components for front-office applications.
Build and enhance interactive user interfaces and seamlessly integrate them with backend APIs.
Work with data processing and transformation pipelines utilizing Python and Pandas.
Write and optimize SQL queries for data extraction and analysis.
Support the implementation of new full-stack features, bug fixes, testing, and debugging under senior team guidance.
Participate in code reviews and adhere to team coding standards.
Utilize standard SDLC tools (Git, Jira, CI/CD tools, Docker) in daily development workflows.
Collaborate with developers, analysts, and stakeholders to clarify requirements and support data validation tasks.

0.5+ years of commercial experience in full-stack development.
Good working knowledge of Python and SQL.
Solid understanding of JavaScript/TypeScript, React.js, and modern front-end fundamentals (HTML/CSS).
Hands-on experience with Pandas for data manipulation.
Familiarity with Git and standard SDLC practices.
Strong analytical and problem-solving mindset with a proactive readiness to learn from feedback.
Ability to work effectively in a team environment and follow technical guidance.

Nice to have: Basic knowledge of financial markets, investment products, or fixed income concepts.
Familiarity with React state management libraries (e.g., Redux, Context API).
Basic exposure to cloud platforms (Azure or AWS).
Exposure to Docker or CI/CD pipelines (e.g., Jenkins).
Experience working with financial datasets (Bloomberg, S&P, Moody’s, ICE, etc.), even at a coursework level.
Academic or practical exposure to backtesting or data analysis.
Basic knowledge of Java or C++.

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