Senior Data Engineer (Python / Spark / Kafka)

Apex Systems; Región Centro; Híbrido; MXN 703.000 - 781.000; Jornada completa

Descripción de la vacante

Everforth Apex Systems Mexico is seeking a Senior Data Engineer with expertise in Python or Java, Apache Spark, and Kafka to design scalable real-time data platforms. You will collaborate with product and operations teams to build streaming data solutions and distributed services.

The role emphasizes delivering high-performance systems, CI/CD, containerization with Docker, and observability across deployments. Remote work is supported from Guadalajara, MX.

Formación

• Bachelor’s degree in Computer Science or related field.
• 5+ years in Data/Backend or Software Engineering.
• Strong Python or Java and Spark experience.

Responsabilidades

• Design, develop, and maintain real-time and batch data pipelines.
• Build distributed data processing apps with Spark.
• Implement event-driven architectures using Kafka and Kafka Streams.
• Develop back-end services and REST APIs with reliability and scalability.
• Collaborate in Agile teams and participate in code reviews.

Conocimientos

Python

Java

Apache Spark

Apache Kafka

Scala

Kafka Streams

Educación

Bachelor's degree in Computer Science / Software Engineering / IT

Herramientas

Docker

Linux

Git

Elasticsearch

Splunk

Datadog

New Relic

Descripción del empleo

**Senior Data Engineer (Python / Spark / Kafka)**About Everforth Apex Systems MexicoEverforth Apex Systems Mexico is a leading technology consulting and talent solutions firm, connecting top engineering professionals with innovative projects across global organizations. We help clients build scalable, high-performing technology solutions by providing exceptional talent and technical expertise.Position OverviewEverforth Apex Systems Mexico is seeking a **Senior Data Engineer** with strong expertise in **Python or Java**, **Apache Spark**, and **Kafka** to design, develop, and scale real-time data platforms and customer-centric data products.In this role, you will work within a highly collaborative engineering environment, partnering with software engineers, architects, product teams, and operations to build scalable data pipelines, real-time streaming solutions, and distributed applications. The ideal candidate is passionate about developing reliable, high-performance systems capable of handling large-scale workloads and enabling data-driven experiences across multiple products and services.Key ResponsibilitiesData Engineering & Development* Design, develop, and maintain scalable real-time and batch data pipelines.* Build and optimize distributed data processing applications using Spark.* Develop high-performance applications using Python, Java, or Scala.* Implement event-driven architectures and streaming solutions using Kafka and Kafka Streams.* Create reliable, scalable, and maintainable backend services and APIs.Platform Scalability & Reliability* Build highly available systems capable of handling high-volume traffic and large-scale data processing.* Monitor application performance and use operational metrics to drive continuous improvements.* Participate in troubleshooting, root cause analysis, and production support activities.* Ensure code quality through testing, code reviews, refactoring, and software engineering best practices.Cloud & DevOps* Containerize applications using Docker for cloud deployments.* Collaborate on CI/CD processes and deployment automation.* Leverage observability and monitoring tools to maintain system health and performance.Collaboration* Work in Agile teams with product managers, developers, and operations teams.* Contribute to technical design discussions and architectural decisions.* Support the implementation of scalable solutions that improve customer and business experiences.Required Experience & Qualifications* Bachelor's degree in Computer Science, Software Engineering, Information Technology, or equivalent experience.* **5+ years of experience** in Data Engineering, Software Engineering, or Backend Development.* Strong programming experience in **Python or Java**.* Hands-on experience building large-scale data pipelines using **Apache Spark**.* Strong experience with **Apache Kafka** and event-driven architectures.* Experience designing and developing distributed systems.* Solid understanding of backend application development and RESTful APIs.* Experience working in Linux environments.* Knowledge of software engineering best practices, including testing, code reviews, and CI/CD.* Experience working within Agile development methodologies.* Strong problem-solving and debugging skills.Preferred Qualifications* Experience with Scala.* Experience with Kafka Streams (KStreams).* Knowledge of Elasticsearch.* Experience with Docker and containerized deployments.* Familiarity with cloud-native architectures.* Experience with observability and monitoring tools such as Splunk, Datadog, or New Relic.* Experience supporting highly available, high-throughput production systems.Technical StackCore Technologies* Python* Java 8* Apache Spark* Apache Kafka* Kafka Streams* ScalaTools & Platforms* Docker* Linux* Git* Elasticsearch* Splunk* Datadog* New RelicConcepts* Data Pipelines* Streaming Data Processing* Distributed Systems* Event-Driven Architecture* Backend Development* REST APIs* CI/CD* Agile Methodology* Scalability & Performance Optimization *Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including Great Place to Work and Great Place for Women to Work in Mexico.***Employee Type:** FullTime**Remote:** Yes**Location:** Guadalajara, JA, MX**Job Type:** Mexico Delivery Center**Date Posted:** September 9, 2026**Pay Range:** $63,000 - $70,000