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
Remote Azure PySpark Data Engineer - ETL & Analytics
Designs and maintains PySpark-based ETL pipelines on Azure Synapse Analytics for consultancy clients, ensuring scalable data flows and data quality.
Senior Data Engineer: ETL Python + Snowflake (Remote)
Design and maintain scalable ETL/ELT pipelines in Python (PySpark) and Snowflake, optimizing data warehouses and ingesting data from REST APIs and cloud storage.
Cloud Data Engineer for Propulsion Systems & Analytics
Designs event-driven data pipelines on GCP to automate deployment and testing, transforming raw data into trusted insights for analytics teams using Python, SQL, and BI tools.
Lead Data Engineer - Snowflake + AWS Data Platform Lead
Lead a team building scalable Snowflake and AWS data pipelines for enterprise clients, enforcing Medallion Architecture, data quality, and governance in an ELT-focused environment.
Remote GCP Data Engineer: Python, PySpark & Airflow
Build and optimize cloud data pipelines using Python, PySpark, Spark SQL, and Kafka on GCP for global clients.
GCP & IICS Data Engineer — ETL, Spark, API
Designs and maintains cloud data pipelines using GCP, IICS, Spark, and Java, integrating APIs and ensuring data quality for scalable analytics solutions.
Global Health Data Engineer II - Airflow & Snowflake
Builds and maintains global health data pipelines using Airflow, Snowflake, and dbt to deliver clean, scalable datasets for analytics and insights.
Hybrid Data Engineer - ETL, AWS & Tableau Expert
Designs and builds ETL pipelines in AWS Athena, writes SQL queries, and creates Tableau dashboards to deliver business insights.
Senior Data Engineer: Hybrid — Build Scalable Data Solutions
Senior Data Engineer builds and owns scalable data pipelines and dbt models, translating business needs into robust data solutions while collaborating with global teams.
Junior Data Engineer (ETL) – Finanzas y BI
Build and maintain ETL pipelines to integrate, transform, and store financial data for BI and analytics, supporting decision-making in a beverage company.
Junior AWS Data Engineer — ETL & PySpark
Build and maintain AWS-based ETL pipelines using Python, PySpark, Glue, Lambda, and Redshift to move and transform data for analytics.
Senior AWS Data Engineer - Time-Series & Lakehouse
Design and scale AWS-based data pipelines for high-volume time-series data from industrial sources, building a Data Lakehouse and optimizing ETL/ELT workflows for analytics-ready datasets.
Cloud Data Engineer — Scale AI-Driven Data Platforms
Designs and builds scalable cloud data pipelines and platforms on AWS, Azure, and GCP using Spark, Snowflake, Kafka, and Airflow for clients undergoing digital transformation.
Real-Time Cloud Data Engineer — Azure Synapse, Kafka
Designs and builds real-time data pipelines using Azure Synapse, Kafka, and SQL Server, then visualizes results in Power BI for a global tech outsourcing firm.
Data Platform Engineer
Build and scale FINN’s data platform from scratch, implementing BigQuery governance, dbt pipelines, and modern data infrastructure to democratize financial data across the fintech startup.
Data Engineer — AWS/Python for AI-Ready Cloud Platform
Build and maintain scalable data pipelines on AWS using Python to power AI-driven HR analytics and insights.
Senior Data Platform Engineer
Design and build an enterprise-scale data platform to power AI workloads, real-time pipelines, and governed data products using Microsoft Fabric, Databricks, and Azure tooling.
Cloud Data Engineer: Azure to AWS Migration & ETL
Designs and migrates cloud data pipelines between Azure and AWS, building scalable storage and ETL workflows while optimizing performance for a Mexico City-based tech company.