Senior Data Engineer (Spark/Scala) — AI Pipelines

Apex Systems; México; Presencial; MXN 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Visual and Dental Insurance

30 days of Christmas Bonus

Vacation Bonus of 70%

Descripción de la vacante

Everforth Apex Systems Mexico is seeking a Senior Data Engineer to design, build, and operate scalable batch and streaming data pipelines in a centralized data platform. You will work with Scala/Java and Apache Spark, contribute to data modeling decisions, and collaborate with product managers, data teams, and stakeholders across the organization.

In an AI-assisted development environment, you will review, test, and optimize AI-generated code while ensuring reliable data delivery.

Formación

• Bachelor's degree or equivalent.

Responsabilidades

• Design, build, and maintain scalable batch and streaming data pipelines.
• Develop and optimize data processing solutions using Scala/Java and Apache Spark.
• Implement data transformations, validations, and integrations across data sources.
• Support data ingestion, enrichment, and delivery into enterprise data stores.
• Collaborate with Product Managers, Architects, and data consumers to refine requirements.
• Participate in AI-assisted development, review AI-generated code, and unit test processes.
• Provide production support for data pipelines and coordinate incident resolution.

Conocimientos

5+ years experience

Scala or Java

Apache Spark

Batch & real-time pipelines

AI-assisted dev awareness

Agile & Jira

Cross-functional comms

Educación

Bachelor's degree in CS/SE/IS

Herramientas

Hive

Apache Iceberg

Claude

GitHub Copilot

Cursor

Jira

Descripción del empleo

Everforth Apex Systems Mexico is seeking a Senior Data Engineer to design, build, and operate scalable batch and streaming data pipelines in a centralized data platform. You will work with Scala/Java and Apache Spark, contribute to data modeling decisions, and collaborate with product managers, data teams, and stakeholders across the organization.

In an AI-assisted development environment, you will review, test, and optimize AI-generated code while ensuring reliable data delivery.