3 publicaciones de empleo destacadas en sr. full stack software engineer (¡Están contratando!)

Data Engineer (Big Data + Full Stack exposure) - ONLY MEXICO
Scalepex —México
- Home Office (Desde casa)
- Administración de personal
- Java
- Experiencia en bases de datos
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DevOps Engineer (Observability)
Teradata —México
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
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QA Engineer / Sr. QA Engineer - Machine Learning Platform for E-Commerce
AppIQ Technologies —México
- Tiempo completo
- Home Office (Desde casa)
- SQL
- Licenciatura
- JavaScript
- Vacaciones adicionales o permisos con goce de sueldo
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Data Engineer (Big Data + Full Stack exposure) - ONLY MEXICO

Scalepex -
México

Postulación rápida

Información del empleo

Cualificaciones

Modelado de datos
Administración de personal
Big data
Spark
NoSQL
Tableau
Java
Experiencia en bases de datos
Licenciatura
JavaScript
Scala
Angular
Desarrollo de software
Linux
Apache
Python
MySQL
Hadoop

Descripción completa del empleo

About Scalepex

Scalepex is a nearshore partner that empowers businesses to scale efficiently and effectively through exceptional services. With a strong focus on customer success, innovation, and cultural alignment, we support companies in building high-performing teams across industries.

At Scalepex, we believe in fostering an environment where our people can thrive, grow their careers, and make a real impact.

Job Summary

We are looking for a Data Engineer / Senior Data Engineer to design, build, and scale robust data pipelines and analytics solutions. This role combines hands-on development with technical leadership, ensuring high-quality data systems that power business insights and analytics products.

You will work across the full data lifecycle—from ingestion and transformation to modeling and delivery—while contributing to architectural decisions and best practices.

Requirements

Key Responsibilities

Sr Data Engineer will understand the business need and design the data pipelines, translate data into business insights, data cleansing and ETL.
Experience in Databricks, GitHub Actions.
Understand CI/CD, Aerospike
Gather requirements from vested teams to build features.
Self-motivated individual will use their love of user interfaces to balance design and function, and thrive in a fast-paced environment, knowledge in Angular / Play Framework is a plus.
Understand the priorities and ensures the deliverables stick to the timeline and complete projects on time.
Be a team player who works effortlessly with people.

Required Qualifications

3–7 years of experience in data engineering or software development at an enterprise level
Strong hands-on experience with:
- Apache Spark (Scala)
- Python
- MySQL and relational databases
- Columnar storage formats (e.g., Apache Parquet)
Experience with AWS ecosystem, including data lake architectures
Familiarity with:
- Airflow for orchestration
- Databricks
- CI/CD pipelines (e.g., GitHub Actions)
Strong understanding of data modeling, storage, and access patterns
Experience building highly scalable, high-volume data systems
Solid understanding of ETL processes and data integration layers

Preferred Qualifications

Experience with:
- Java
- Angular or Play Framework
- Tableau or other BI tools
- Aerospike or NoSQL databases
Knowledge of Hadoop ecosystem and EMR management
Experience working in AdTech or digital media environments
Familiarity with Linux systems

Benefits

Contractor scheme
100% Remote

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Data Engineer (Big Data + Full Stack exposure) - ONLY MEXICO

DevOps Engineer (Observability)

QA Engineer / Sr. QA Engineer - Machine Learning Platform for E-Commerce

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