Ingeniero de Datos Senior (Plataformas AI)

Placements24; Puebla de Zaragoza; Híbrido; MXN 1.200.000 - 1.800.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Comprehensive benefits package

Performance bonuses

Retirement savings plan

Generous paid time off

Descripción de la vacante

Placements24 is seeking a Senior Data Engineer for a fully remote position focusing on scalable data pipelines for AI/ML workloads. You will design and optimize ETL/ELT processes, ensure data quality, and collaborate with data scientists to enable advanced modeling across a global team.

Ideal candidates have 5+ years in data engineering with strong SQL and Python/Scala, and hands-on experience with Spark, Hadoop, Kafka, and cloud data services.

Formación

• Bachelor's or Master's degree in CS/Engineering or a related field.
• 5+ years of data engineering experience focused on ML/AI pipelines.
• Strong SQL and Python/Scala programming skills.
• Experience with big data tech (Spark, Hadoop, Kafka).

Responsabilidades

• Design, build, and maintain scalable data pipelines for AI/ML workloads.
• Develop ETL/ELT processes to ingest, transform, and prepare data from varied sources.
• Ensure data quality, integrity, and efficiency across all data systems.
• Optimize data infrastructure for performance, cost, and scalability.
• Collaborate with data scientists and ML engineers to meet data needs.
• Implement data governance and security best practices.
• Develop and manage data warehousing and data lake solutions.
• Monitor data systems and troubleshoot issues proactively.
• Evaluate and adopt new data technologies and tools.

Conocimientos

SQL

Python

Scala

Strong communication

Remote work

Educación

Bachelor's or Master's in Computer Science/Engineering

Herramientas

Apache Spark

Hadoop

Kafka

AWS Redshift

S3

EMR

Azure Data Factory

Databricks

GCP BigQuery

Dataflow

Docker

Kubernetes

Descripción del empleo

About the Role

Our client, a dynamic leader in Artificial Intelligence and Emerging Technologies, is actively seeking a Senior Data Engineer to join their fully remote team. This role is crucial for building and maintaining the robust data infrastructure that powers our AI and machine learning initiatives. You will be responsible for designing, developing, and optimizing scalable data pipelines, ensuring data quality, and making data accessible for analysis and model training. This is a unique opportunity to work on cutting‑edge AI projects from anywhere, collaborating with talented engineers and data scientists across the globe. We are looking for a candidate with a deep understanding of data engineering best practices, a passion for enabling AI innovation, and a proven ability to handle large, complex datasets. If you are driven by the challenge of building scalable data solutions that fuel intelligent systems, this remote position is for you. Join our client and be at the forefront of AI innovation, contributing to impactful solutions that are transforming industries.

Key Responsibilities

• Design, build, and maintain scalable and reliable data pipelines for AI/ML workloads.
• Develop ETL/ELT processes to ingest, transform, and prepare data from various sources.
• Ensure data quality, integrity, and efficiency across all data systems.
• Optimize data infrastructure for performance, cost, and scalability.
• Collaborate with data scientists and ML engineers to understand data requirements and provide solutions.
• Implement data governance and security best practices.
• Develop and manage data warehousing and data lake solutions.
• Monitor data systems and troubleshoot issues proactively.
• Evaluate and implement new data technologies and tools.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering, with a focus on building data pipelines for ML/AI.
• Strong proficiency in SQL and programming languages like Python or Scala.
• Experience with big data technologies such as Apache Spark, Hadoop, Kafka.
• Hands‑on experience with cloud data services (AWS Redshift, S3, EMR; Azure Data Factory, Databricks; GCP BigQuery, Dataflow).
• Familiarity with data warehousing concepts and data modeling techniques.
• Experience with containerization (Docker, Kubernetes) is a plus.
• Excellent problem‑solving and communication skills.
• Ability to work independently and effectively in a remote team environment.

Benefits

This fully remote role offers a competitive salary, comprehensive benefits package, and the unique opportunity to work with leading AI technologies from the comfort of your home. Our client provides a collaborative and supportive remote work environment, emphasizing work‑life balance and professional development. Access cutting‑edge tools and resources, participate in stimulating projects, and benefit from continuous learning opportunities. We offer performance bonuses, retirement savings plans, and generous paid time off. Join a globally distributed team dedicated to innovation in Artificial Intelligence and shape the future of technology, no matter where you are located.