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: Scalable Pipelines & Data Products
Senior Data Engineer builds and optimizes scalable data pipelines, integrating SAP, R&D, and external sources to create analytics-ready datasets for AI and data products using SQL, Python, and cloud platforms.
Data Engineer II: Pipelines, Warehousing & Dashboards
Designs and builds ETL pipelines, optimizes data warehousing, and contributes to dashboards using Hadoop, Spark, and Snowflake.
Data Engineer
Build and maintain ETL/ELT pipelines and data warehouses to power HR analytics and reporting for a cloud-based payroll and HCM platform.
Data Engineer
Build and optimize ETL pipelines, data warehouses, and dashboards to power HR analytics and reporting using Python, SQL, BigQuery, and Google Looker.
Data Engineer
Build and maintain scalable Azure Databricks pipelines and data products for Daikin’s HVAC-focused data platform, ensuring reliability and enabling analytics and AI-driven insights.
Data Engineer
Design and build scalable cloud data pipelines using Python, PySpark, and Databricks on AWS, ensuring data quality and reliability for analytics and ML workloads.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to power AI/ML features in Tebra’s healthcare EHR platform, ensuring reliable, high-quality datasets for model training and production inference.
Jr. Data Engineer
Build and maintain ETL/ELT pipelines and data warehouses to power analytics for podcast and digital-advertising campaigns using SQL, Python, and cloud tools.
Senior Data Engineer — Build Data Platform & Pipelines
Senior Data Engineer builds and scales a modern data platform with ETL/ELT pipelines, Snowflake schemas, and DataOps practices using Python, Airflow/Prefect/Dagster, and CI/CD.
Data Engineer
Senior Data Engineer builds and optimizes ETL pipelines, migrates legacy systems to cloud platforms like Snowflake and Databricks, and designs scalable data workflows using Python, SQL, and Airflow for a financial services client.
Senior Data Engineer: Modern Data Platforms & Pipelines
Build and optimize scalable data platforms for a financial client using Snowflake, Databricks, Hive, and Airflow to modernize legacy systems.
Senior Data Engineer, Risk Tech — Scalable Data Pipelines
Senior Data Engineer builds and maintains scalable data pipelines using Python, AWS, Airflow, and Snowflake to support risk analytics in a fintech setting.
Senior Big Data Engineer - Data Pipelines & ML Data Products
Designs and builds scalable data pipelines and ML data products using Python, Scala, or Java to support analytics and team-wide data needs in a product-focused environment.
Senior Data Engineer — Remote Data Pipelines & Cloud
Designs and optimizes cloud-based data pipelines on AWS, GCP, or Azure, working with analytics teams to process and transform data efficiently.
Azure Data Engineer - Build AI-Driven Data Pipelines
Builds scalable data pipelines and AI-driven analytics using Python, PySpark, SQL, and Microsoft Fabric on Azure.
Senior Data Engineer: Cost Attribution & Data Pipelines
Design and maintain data infrastructure for cost attribution and financial modeling using Python, SQL, dbt, and Airflow on AWS.
Senior Data Engineer - Client-Facing Data Pipelines & AI
Designs and deploys client-facing data pipelines that feed AI and machine learning models, ensuring reliable data flow for insights.