Data Engineering Jobs in Mexico
There are 1,032 open Data Engineering jobs in Mexico on freehire right now. 216 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 42%
- data-engineering 38%
- aws 34%
How the work is done
- Remote 135 · 13%
- Hybrid 71 · 7%
- Onsite 9 · 1%
Visa sponsorship offered in 23% of the 22 postings that state a position on it.
Seniority
- Senior 360
- Lead 109
- 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
Data Engineer - Systematic Commodities Hedge Fund
Build and maintain scalable data pipelines and warehouses for a systematic commodities hedge fund, using Python, SQL, and cloud tools to feed trading research and execution.
Senior Data Engineer: Snowflake, ETL & AI-Ready Pipelines
Designs and optimizes Snowflake-based ETL pipelines in Python and Matillion to feed analytics and AI-ready data solutions for a large retail technology team.
Senior Data Engineer - Databricks on AWS (Remote)
Senior Data Engineer builds and scales data pipelines on Databricks and AWS, designing ETL/ELT workflows for large datasets using Python and SQL.
Data Engineer, Azure BI & Analytics (Hybrid)
Designs and builds Azure-based BI and analytics pipelines, integrating data sources and enabling reporting for business insights.
Remote Data Engineer - Live Device Launch Observability
Builds observability systems to analyze device telemetry and support product launches using Python and streaming data pipelines.
Senior Data Engineer - Lakehouse Platform Lead
Leads the design and development of a data platform using Apache Spark and AWS, building ingestion pipelines and managing data lifecycle for a Mexico City-based AI/data platform provider.
Remote Data Engineer - Build AI-Driven Data Platforms
Build and optimize AI-driven data platforms for clients, handling infrastructure, ML models, APIs, and front-end to turn big data into business impact.
Data Engineer (AWS, Python, Cloud Data Platform)
Build and maintain AWS-based data pipelines and ETL processes for a global financial data provider, using Python, Spark, and modern cloud tools to enable AI-ready analytics.
Azure Data Engineer — ETL & Synapse Specialist (Remote)
Build and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to process and transform data for clients.
Senior Data Engineer - Databricks & Azure (Remote LATAM)
Build and maintain scalable data pipelines and ETL processes using Databricks and Azure for a US client, ensuring high data quality in a fully remote role.
Senior Data Engineer - Governance & Metadata Automation
Senior Data Engineer builds automated frameworks to enforce data governance policies and standards using Python, SQL, and cloud data pipelines in Monterrey.
Databricks Data Engineer - Spark ETL & Azure
Builds and maintains scalable ETL pipelines on Databricks and Spark, enabling analytics and modeling for Zurich Insurance’s data-driven decisions.
Spark Data Engineer – ETL, Data Quality & AI Tools
Builds and optimizes ETL pipelines, ensures data quality, and collaborates in Agile teams using Scala, Python, or Java.
Snowflake Data Engineer - Hybrid (Santa Fe)
Designs and optimizes Snowflake data warehouses, migrates on-prem systems to cloud (AWS/Cloudera), and writes SQL/Python pipelines in a collaborative environment.
Azure Data Engineer: ETL & Synapse Mastery
Builds and maintains ETL pipelines using Python (PySpark) and Azure Synapse Analytics to deliver clean, analytics-ready data for insights.
AI-Data Engineer - OpenAI & Azure Fabric
Build and maintain AI-powered data pipelines in Azure Fabric, integrating OpenAI APIs to process, classify, and analyze large datasets for business use cases.