Remote Data Engineer - Spark, Delta Lake, Python (Flexible)

BairesDev; Jalisco; A distancia; MXN 385.912 - 462.247; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Excellent compensation in USD or local currency

Flexible hours

Paid parental leaves and vacations

Innovative work environment

Mentorship and skill development

Descripción de la vacante

A leading technology firm in Mexico is seeking an experienced Data Engineer to join their remote team. You will develop and optimize data pipelines while utilizing AWS Glue and Apache Spark, with a focus on large-scale data challenges. The ideal candidate has 5+ years in data engineering, excellent Python skills, and advanced English proficiency. This role offers a competitive salary and flexible work hours.

Formación

• 5+ years of experience in Data Engineering.
• 3+ years of hands‑on experience with AWS Glue or Databricks.
• 3+ years of experience with Apache Spark.
• 2+ years of experience with Delta Lake.
• 5+ years of Python experience focused on ETL and automation.
• Familiarity with monitoring, observability, and data pipeline alerting systems.
• Cloud experience, preferably with the AWS ecosystem.
• Advanced proficiency in English.

Responsabilidades

• Design and implement scalable and secure data pipelines using AWS Glue or Databricks.
• Develop and optimize distributed processes in Apache Spark for large volumes of data.
• Manage and maintain Delta Lake tables, ensuring data integrity, versioning, and schema evolution.
• Write and maintain clean, modular Python code for ETL processes and automation.
• Collaborate with cross‑functional teams to translate business needs into reliable data solutions.

Conocimientos

Data Engineering

AWS Glue

Apache Spark

Delta Lake

Python

Monitoring Systems

English proficiency

Descripción del empleo

A leading technology firm in Mexico is seeking an experienced Data Engineer to join their remote team. You will develop and optimize data pipelines while utilizing AWS Glue and Apache Spark, with a focus on large-scale data challenges. The ideal candidate has 5+ years in data engineering, excellent Python skills, and advanced English proficiency. This role offers a competitive salary and flexible work hours.