Data Engineering Jobs in Mexico
There are 1,034 open Data Engineering jobs in Mexico on freehire right now. 215 of them were posted recently. The skills employers ask for most often are sql, python and etl.
Most requested skills
- sql 58%
- python 54%
- etl 44%
- analytics 44%
- cloud 43%
- data-pipelines 43%
- data-engineering 38%
- aws 35%
How the work is done
- Remote 136 · 13%
- Hybrid 71 · 7%
- Onsite 8 · 1%
Visa sponsorship offered in 23% of the 22 postings that state a position on it.
Seniority
- Senior 360
- Lead 112
- Junior 29
- Middle 17
- Staff 9
- Intern 5
Who is hiring
- 1000+ employees 150
- 501-1000 employees 44
- 51-200 employees 18
- 11-50 employees 6
- 201-500 employees 4
AI-Driven Cost Engineering Data Engineer
Design and deploy AI systems for cost estimation and optimization using LLMs and MLOps on cloud platforms like Azure and AWS.
Senior Clinical Data Engineer: Cloud Pipelines & Enablement
Build and maintain cloud-based data pipelines for clinical datasets, automating ETL/ELT workflows and ensuring compliant delivery of data products using SQL, Python, and cloud platforms.
Data Engineering Lead - AI-Driven Data Infra (Azure/Databricks)
Lead the build-out of AI-driven data infrastructure on Azure/Databricks, ensuring reliable pipelines for analytics and ML workloads using Spark/Scala.
Clinical Data Engineer/Enablement
Build and maintain cloud-based clinical data pipelines for biopharma, ensuring compliant, high-quality data delivery to downstream teams using AWS/Azure, Python, and CDISC standards.
Data Engineer (AI Experienced)
Build and deploy AI systems for cost estimation and optimization, including LLM-powered applications and MLOps pipelines integrated with enterprise platforms.
AWS Data Engineer - ETL Pipelines & Real-Time Data
Build and maintain ETL pipelines using Python, PySpark, AWS Glue, Step Functions, and Lambda to process and transform data for reporting and analytics.
Data Engineer
Build and maintain scalable data pipelines and cloud infrastructure using Python, SQL, Airflow, Snowflake, and BigQuery to power analytics and decision-making.
Data Engineer
Designs and maintains scalable data pipelines using Snowflake, dbt, Airflow, and AWS to power enterprise analytics platforms.
Data Architect & Cloud Data Engineer
Designs and builds scalable cloud data platforms across AWS, Azure, and GCP, leading AI-driven data pipelines and architectures for enterprise clients.
Mid Data Engineer – Scale Fintech Data Pipelines (Mexico City)
Designs, builds, and optimizes data pipelines for a fintech company, ensuring reliable data flow to the warehouse using cloud tools like AWS/Google Cloud, Spark, and Kafka.
Data Engineer (AI Experienced)
Build and deploy AI systems for cost estimation and optimization, including LLM-powered tools and MLOps pipelines integrated with enterprise platforms.
Data Engineer: Scale Data Pipelines for AI & BI
Designs, builds, and deploys data pipelines to power AI/ML models and BI insights for customers using cloud platforms and big-data tools.
Data Engineer: Build AI-Ready Data Pipelines
Design and deploy scalable data pipelines for AI/ML and BI using Spark, Hadoop, Kafka, and SQL warehouses while ensuring data quality and governance.
Data Engineer
Build and maintain scalable data pipelines and products in Azure Databricks, ensuring high-quality, reliable data for analytics and AI across a global HVAC manufacturer.
Data Engineer (Lead) ID52236
Lead a team building scalable data pipelines and cloud infrastructure using Python, Snowflake, dbt, and Airflow to deliver reliable analytics for enterprise clients.
AI Data Engineer ID51654
Senior AI Data Engineer builds resilient data pipelines and cloud infrastructure for energy intelligence, enabling LLM workflows and automation using Python, GCP, and SQL/NoSQL.
Azure Data Engineer - Remote, Latin America
Build and maintain ETL pipelines in Azure Synapse using PySpark and SQL to move and transform data from APIs, databases, and files into scalable data warehouses.
Data Engineer - Lima
Designs and maintains data pipelines, ETL processes, and data warehouses to support analytics and business intelligence using SQL, Python, and cloud platforms.
Senior DevOps Engineer – Azure & Data Platform Lead
Designs and maintains Azure-based infrastructure and data platforms using Infrastructure as Code and CI/CD pipelines for a global real-estate services company.