Data Engineering Jobs in Mexico
There are 1,032 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 34%
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 110
- Junior 29
- Middle 17
- Staff 9
- Intern 5
Who is hiring
- 1000+ employees 148
- 501-1000 employees 44
- 51-200 employees 18
- 11-50 employees 6
- 201-500 employees 4
Senior Data Engineer — AI-Driven Data Pipelines
Designs, builds, and maintains ETL pipelines and automated reports using Python and data analytics platforms in a collaborative environment.
Remote AWS Data Engineer — Scalable Data Pipelines
Design and maintain scalable AWS data pipelines and warehousing solutions using AWS-native services.
Senior Data Engineer — BigQuery, Python & Data Pipelines
Designs and optimizes ETL/ELT pipelines in BigQuery using Python and SQL, migrating and integrating datasets for reliable data solutions.
Remote AWS Data Engineer — Build Data Pipelines (Contract)
Build and maintain AWS-based data pipelines using Python, SQL, and CI/CD to move and transform data for analytics and reporting.
AI-First Data Engineer: Build Scalable Data Pipelines
Designs and maintains scalable data pipelines to transform raw data into insights using Python, SQL, Spark, and Hadoop.
Remote AI Data Engineer for Enterprise AI & Data Pipelines
Design and build scalable data pipelines and infrastructure for an enterprise AI platform that powers real-time competitive intelligence and multilingual AI agents.
Senior Data Engineer — AWS Cloud Data Pipelines & Analytics
Designs and builds scalable AWS data pipelines and analytics solutions for a cybersecurity company, using Python and SQL to ensure data accuracy and usability.
Hybrid Data Engineer: Data Pipelines & Cloud
Builds and optimizes scalable data pipelines and cloud architectures using SQL and Python to integrate business data systems.
Associate Data Engineer: Palantir Foundry & Data Pipelines
Build and maintain data pipelines and support Palantir Foundry for a healthcare logistics provider, handling incidents and monitoring data health.
Senior Data Engineer, Azure Data Pipelines Lead
Design and build Azure-based data pipelines to ingest and load financial data, enabling analytics and insights for a Mexico-focused fintech company.
Senior Data Engineer: Scalable Data Pipelines & Governance
Senior Data Engineer builds and optimizes cloud-based data pipelines and governance frameworks, enabling reliable analytics and AI-ready data models for a product-focused team.
Senior Data Platform Engineer — AI & Lakehouse Architect
Designs and builds scalable data platforms for analytics and AI systems, mentors engineers, and drives best practices in a large enterprise setting.
Senior Data Platform Engineer (AI & Lakehouse)
Design and implement scalable data platforms (lakehouses, data lakes) and AI foundations for enterprise customers, focusing on governance, quality, and modernization.
AI-First Data Platform Engineering Lead
Lead a data and platform engineering team to build and scale a secure, high-reliability AI-first data platform, balancing hands-on technical work with people management.
Senior Data Engineer: Azure Databricks Platform Lead
Designs and builds scalable data pipelines on Azure Databricks to ensure reliable, high-quality data for analytics, ML, and AI-driven solutions in a climate-tech manufacturing context.