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
Associate Data Engineer
Maintains and troubleshoots Palantir Foundry data pipelines, monitors data health, and provides L2 support using Python, SQL, PySpark, and TypeScript.
Data Engineer (Azure)
Build and maintain Azure-based data pipelines using T-SQL, Azure Data Factory, Databricks, and Synapse to deliver clean, reliable datasets for analytics and modeling.
Data Engineer SR
Build and maintain data pipelines and warehouses using Microsoft Fabric for clients, ensuring secure, high-quality data flows for analytics and reporting.
Senior Data Engineer - Build Scalable AI-Ready Data Pipelines
Design and maintain scalable data pipelines for AI-ready datasets, implementing ETL workflows and ensuring data quality while collaborating with data science teams.
Data Engineer
Design and optimize Snowflake-based data warehouses and ETL pipelines using SQL, Python, and cloud platforms to support analytics and reporting.
Remote Data Engineer: AWS Pipelines & Analytics
Builds and maintains AWS-based data pipelines and integrations for clients, collaborating with cross-functional teams to deliver analytics solutions.
Data Engineer Lead
Lead a data engineering team to design and scale a robust, end-to-end data architecture for a gaming platform, ensuring reliable reporting, analytics, and LLM consumption while optimizing AWS costs and performance.
Data Engineer: Hybrid Role in Mexico City for Data Pipelines
Designs and optimizes data pipelines for real-time analytics in a healthcare manufacturing context, ensuring compliance with GMP and regulatory standards.
Remote Data Engineer – Databricks & Cloud Pipelines
Builds and optimizes scalable data pipelines using Databricks and Delta Lake, enabling analytics and ML across cloud platforms like Azure, AWS, or GCP.
Principal Data Engineer
Principal Data Engineer builds and scales cloud data pipelines using Databricks/PySpark, DBT, Airflow, and Snowflake to power analytics for retail, CPG, and fintech clients.
GCP Data Engineer — Scalable Pipelines & Analytics
Designs and maintains GCP data pipelines, optimizes BigQuery, and builds ETL/ELT workflows to support business analytics and decision-making.
Junior Data Engineer: ELT Pipelines, Data Vault 2.0
Builds modern ELT pipelines with dbt and Data Vault 2.0, migrates legacy ETL, and maintains data transformations and integrations on Kubernetes.
Data Engineer Mid - GCP Data Migration & Pipelines
Data Engineer to migrate and govern data assets from BigQuery Sandbox to a managed Google Cloud Platform environment, building reliable ETL/ELT pipelines.
Senior Data Engineer - Pipelines, AI/ML & Databricks
Design and build enterprise data pipelines and platforms using PySpark, Python, SQL, Azure and Databricks to turn raw data into insights for clients.
Lead Data Platform Engineer for Cloud Data Pipelines
Lead a team of nine engineers to build and maintain cloud data pipelines using Informatica and AWS services, extracting data into Redshift and Denodo for analytics.
Azure Data Engineer: Build Scalable Data Pipelines
Designs and builds scalable data pipelines on Azure using SQL, Python, Spark, Databricks, and Snowflake to enable reliable data processing and analytics.
Data Engineer for Scalable AI Data Pipelines
Build and maintain scalable data pipelines and secure environments to power AI applications and R&D for agentic and autonomous AI solutions.