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 Senior Data Engineer - SQL & Data Modelling
Build and maintain a modern data stack (Airflow, Snowflake, Superset/Looker/HEX, Python) to transform raw data into analytics-ready marts and an AI-ready semantic layer for LLM querying.
Open Position: AI Data Engineer
Design and build scalable data pipelines and infrastructure to power an enterprise AI platform that delivers human-quality interactions via voice, video, and text in 50+ languages.
Remote Senior Azure Data Engineer
Designs and optimizes Azure-based data pipelines and SQL models, ensuring governance and reliability for analytics and reporting.
Senior Data Engineer - Launch Observability (Remote)
Senior Data Engineer builds observability pipelines to monitor device launches, transforming telemetry into actionable insights using Python and SQL.
Data Engineer | SAP BODS ETL & Scalable Pipelines
Designs and maintains ETL workflows using SAP Data Services, optimizes data pipelines, and supports production data processes in a cloud environment.
Remote Azure PySpark Data Engineer
Build and maintain ETL pipelines using Python and Azure Synapse Analytics to process and deliver clean data for analytics and insights.
Data Engineer for Data Governance – APIs developer
Designs and builds secure, scalable data pipelines and APIs to collect, validate, and govern enterprise data across cloud platforms like AWS and Azure.
Senior Azure Data Engineer - Remote (Databricks & Spark)
Designs and builds scalable data pipelines in Azure Databricks and Spark, optimizing transformations and collaborating on analytics projects.
Azure Data Engineer - Real-Time Pipelines & API Integration
Senior Data Engineer builds scalable Azure data pipelines and APIs using Python, SQL, Kafka, Spark, and Databricks for real-time data processing.
Senior Data Engineer
Build and maintain scalable data pipelines and dbt models using SQL, cloud platforms, and Python to deliver trusted data products for business decisions.
Data Engineer Jr
Build and maintain data pipelines in Databricks/Azure, clean and validate financial data, and document ETL processes to support analytics and reporting for a Mexican fintech.
Data Engineer Snowflake / Databricks
Design and build cloud data pipelines using Snowflake and Databricks, then optimize them with DataOps tools like DBT for analytics-ready datasets.
Data Engineer: Build Scalable Pipelines & Warehouses
Builds and maintains scalable data pipelines and warehouses, ensuring reliable data flow for analytics and decision-making using SQL and big data tools.
Data Engineer - Remote, Latin America
Build and maintain cloud-based data pipelines and warehouses for clients using AWS, SQL, and ETL tools like SnapLogic or Informatica.
AWS Data Engineer
Build and maintain AWS-based data pipelines and warehouses using Python, SQL, and services like Glue, Redshift, and S3 to enable analytics and ML feature stores.
Senior Data Engineer
Build and optimize Snowflake-based data pipelines using Matillion and Python to power analytics and AI use cases for a large retailer.
Data Engineer (GCP) – Data & Analytics
Build and maintain GCP-based data pipelines (ETL/ELT) using BigQuery, Dataflow, and SQL to feed analytics and warehouses for business insights.