Ingeniero de Datos Senior | Infraestructura AI Remota

Placements24; Puebla de Zaragoza; Hybrid; MXN 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits package

Performance bonuses

Retirement savings plan

Generous paid time off

Job summary

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.

Qualifications

• 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).

Responsibilities

• 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.

Skills

SQL

Python

Scala

Strong communication

Remote work

Education

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

Tools

Apache Spark

Hadoop

Kafka

AWS Redshift

S3

EMR

Azure Data Factory

Databricks

GCP BigQuery

Dataflow

Docker

Kubernetes

Job description

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.