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: Azure Data Factory & Synapse Expert
Designs and maintains scalable ETL/ELT pipelines and data models for a large US eCommerce platform using Azure Data Factory and Synapse.
Senior Data Engineer - Airflow & Data Pipelines (Remote)
Build and maintain automated data workflows using Apache Airflow, designing optimized pipelines while collaborating with cross-functional teams.
Remote Senior Data Engineer - Data Pipelines & Architecture
Design and own scalable data pipelines and architectures to support analytics and decision-making, ensuring high data quality and performance while mentoring engineers.
Remote Data Engineer (dbt) — Build Scalable Data Pipelines
Design scalable dbt-based data pipelines that transform raw data into high-performance datasets for analytics and BI, ensuring data quality and performance.
Remote Data Engineer: Azure Databricks Python AI Pipelines
Designs and builds scalable data pipelines using Azure Databricks and Python, integrating AI for automated classification and processing across cloud environments.
Senior Data Engineer: Scalable Pipelines & Architecture
Designs, builds, and scales data pipelines and architecture to support reliable, production-grade data systems for a product-focused company.
Senior Data Engineer: Architect Scalable Pipelines & Governance
Senior Data Engineer designs and builds scalable data pipelines and architectures to support analytics and AI initiatives at Spin.
Senior Data Engineer: Scalable Pipelines & Snowflake/AWS
Design and maintain scalable data pipelines using Snowflake, dbt, Airflow, and AWS to power analytics platforms and ensure data quality.
Data Engineer Advisor: Build Scalable Pipelines & Analytics
Designs and maintains scalable data pipelines and analytics solutions using SQL and Python, ensuring data integrity and supporting cross-team collaboration.
Senior Data Engineer - Scalable Pipelines & Cloud Analytics
Designs and maintains scalable cloud data pipelines and warehouses, enabling analytics and ML with tools like Spark, Airflow, and Snowflake.
Real-Time Data Engineer for Qlik Replicate
Design and implement real-time data replication pipelines using Qlik Replicate, configuring CDC and managing hybrid cloud/on-premise data flows.
Sr. Data Engineer (Snowflake)
Build and optimize cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for global consumer brands.
AI Data Engineer for Cost Optimization & GenAI Platforms
Build production-grade AI systems for cost estimation, optimization, and decision support using LLM-powered apps and MLOps pipelines on Databricks, Snowflake, and cloud platforms.
Senior Data Engineer: Build Scalable AI Data Solutions
Design and deploy scalable data pipelines and governance frameworks for AI/ML and BI solutions using Spark, Hadoop, Kafka, and SQL.