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 ML & Data Engineer — ETL, Pipelines & Dashboards
Build and maintain ML models and ETL pipelines in Python to power business decisions and dashboards.
Jr Cloud Data Engineer
Build and maintain cloud data pipelines using Azure, GCP, Databricks, and Snowflake while writing SQL and ETL processes to deliver clean datasets for analytics.
Data Engineer GCP
Build and secure GCP data pipelines using Cloud Run, GKE, Pub/Sub, and Cloud SQL; deploy containerized services and set up observability and IAM policies.
Data Engineer ETL Tester
Designs and tests ETL pipelines using SQL and AWS Athena, builds Tableau dashboards, and troubleshoots automated data jobs for enterprise clients.
Remote-First Data Engineer - Snowflake & GCP Pipelines
Build and optimize Snowflake-to-GCP data pipelines using Snowpark and Python UDFs, focusing on config-driven processing and PII governance.
Data Engineer Associate: Analytics, Pipelines & ML
Builds and maintains data pipelines, analyzes large datasets, and creates dashboards using Snowflake, Sigma, and Databricks to support data-driven decisions for clients.
Data Engineer / ETL Developer
Design and maintain data pipelines and ETL workflows to process and transform raw data into actionable insights for business reporting and analytics.
Staff Data Engineer
Build and scale EarnIn’s real-time financial data infrastructure using AWS, Kafka, Spark, and Python/Scala to power earned-wage insights and analytics for millions of users.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines and platforms to power analytics and AI products, using SQL, Python, cloud tools, and modern orchestration like Airflow.
Big Data Engineer
Designs and builds scalable data pipelines and products to power AI/ML models and analytics, using Python/Scala/Java, Spark, Airflow, Kafka, and related tools.
AI Data Engineer
Build and deploy AI-powered applications using LLMs, vector databases, and RAG pipelines. Integrate models with APIs and scale data pipelines for large datasets.
Senior Data Engineer
Senior Data Engineer to migrate data from Snowflake on AWS to Azure Databricks and DBT using Lakebridge, building cloud infrastructure with Terraform and CI/CD pipelines.
Senior Data Engineer
Senior Data Engineer designs and builds modern data platforms using Microsoft Fabric, Lakehouse, and Azure, focusing on scalable architectures and Medallion patterns.
Sr. Data Engineer
Designs and migrates cloud data architectures between Azure and AWS, building scalable storage solutions and ETL pipelines using PostgreSQL, DynamoDB, and DBT.
Azure Data Engineer
Build and maintain enterprise-scale data pipelines using Microsoft Fabric, Python, PySpark, and SQL to deliver analytics-ready datasets and Power BI reports.
Senior Data Engineer
Senior Data Engineer at DiDi Global to own end-to-end data issues, optimize pipelines, and ensure reliability of large-scale mobility data systems using SQL, Python, and cloud warehouses.
Data Engineer - Databricks
Build and maintain scalable data pipelines on Databricks and Azure, optimizing ETL/ELT processes to support analytics and ML initiatives for an insurance-focused team.