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
Data Engineer
Build and own ETL pipelines that reconcile royalty data from streaming platforms to ensure music creators are paid fairly, using Python, dbt, PostgreSQL, and Airflow.
Data Engineer
Builds and migrates Azure-based data pipelines and SQL databases, modernizing legacy systems for a logistics-focused tech company.
Data Engineer
Build dashboards and reports with SQL, Python, and Power BI to turn marketing and sales data into actionable insights for a global ad-tech agency.
Data Engineer: Build Production-Grade Market Data Pipelines
Build and maintain production-grade data pipelines and ETL workflows in Python/SQL to feed a commodities hedge fund’s market-data infrastructure.
Data Engineer - Build Scalable Pipelines & Data Governance
Builds and maintains scalable data pipelines and ensures data governance for a large retail company in Mexico City.
Data Engineer
Build and maintain scalable data pipelines for a fintech company, transforming raw data into insights for lending, payments, and credit products using Python, SQL, Spark, and AWS.
Senior AI Data Engineer – Flexible, Growth‑Focused Data Pipelines
Builds resilient data pipelines and cloud architectures for AI-driven energy intelligence using Python, TypeScript, GCP, and SQL/NoSQL.
Data Engineer
Build and optimize data pipelines and storage on Azure, transforming raw data into clean, query-ready formats for analysts and scientists.
Data Engineer
Build and maintain SQL Server databases, ETL pipelines (C#/Python), and Power BI dashboards to power finance, inventory, and forecasting for a foodservice distributor.
Data engineer
Designs, builds, and optimizes large-scale data pipelines and distributed systems using Python, PySpark, SQL, and cloud tools (GCP/Azure) to process high-volume datasets for clients.
Data Engineer
Build and maintain scalable data pipelines for a fintech company in Mexico, using Python, SQL, Spark, and AWS to power analytics and business decisions.
Remote Data Engineer: Pipelines, AI & Insights
Designs and builds scalable data pipelines, models, and integrations for AI/ML and reporting, translating business needs into technical solutions with minimal oversight.
Data Engineer
Designs and maintains scalable data pipelines, cloud infrastructure, and CI/CD workflows using Python, Docker, Kubernetes, and Terraform to deliver reliable data solutions.
Azure Data Engineer: Pipelines, Lakehouse & Medallion
Designs and optimizes Azure Synapse Analytics pipelines and SQL queries for a data lakehouse using the medallion architecture.
Data Engineer — Build Life-Saving BioMed Data Pipelines
Builds and maintains data pipelines for biomedical data using SQL, Python, and cloud platforms like Databricks or Snowflake.
Data Engineer
Builds scalable data pipelines and modern analytics platforms using GCP tools like BigQuery, Dataflow, and Pub/Sub to turn raw data into actionable business insights.
Data Engineer
Build and maintain scalable data pipelines for a fintech lender, transforming raw transaction and accounting data into clean, analytics-ready datasets using Python, SQL, Spark, and AWS.
Data Engineer
Design and build scalable data pipelines and platforms using Azure Databricks and PySpark to enable data-driven decision-making for AI-driven analytics.