Data Engineering Jobs in Mexico
There are 1,031 open Data Engineering jobs in Mexico on freehire right now. 212 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 35%
How the work is done
- Remote 134 · 13%
- Hybrid 71 · 7%
- Onsite 8 · 1%
Visa sponsorship offered in 23% of the 22 postings that state a position on it.
Seniority
- Senior 359
- Lead 112
- Junior 29
- Middle 16
- Staff 9
- Intern 5
Who is hiring
- 1000+ employees 150
- 501-1000 employees 44
- 51-200 employees 18
- 11-50 employees 6
- 201-500 employees 4
Senior Data Platform Engineer — Scalable Data & ML Pipelines (Remote)
The Senior Data Platform Engineer will design and maintain scalable data infrastructure to support analytics and AI initiatives. The role involves building data pipelines, optimizing SQL queries, and managing ML workflows using cloud platforms like AWS, GCP, or Azure.
Senior GCP Data Engineer — BigQuery & Airflow (Hybrid)
Senior GCP Data Engineer leading data architecture, pipelines, and SAS model migration on Google Cloud Platform using BigQuery and Airflow in a hybrid role at a global consulting firm.
Remote Senior Data Engineer - Contracts & Delta Sharing
Senior Data Engineer owning data contracts and Delta Sharing across an enterprise data platform, working with Databricks and Unity Catalog to enable secure, governed data access.
Senior Data Engineer - Talend ON SITE in GDL
Senior Data Engineer working on-site in Guadalajara, designing and maintaining Talend-based ETL/ELT pipelines, integrating data from multiple sources, and supporting production data solutions with DevOps practices.
Senior Data Platform Engineer - Remote Delta Sharing
Senior Data Platform Engineer owning the data contract framework and Delta Sharing within JLL's Enterprise Data Platform, enabling governed self-service data access for analytics and reporting teams.
Data Platform Engineer (Hybrid) — Python & GCP
Data Platform Engineer designing and maintaining ETL/ELT pipelines with Python and GCP tools, developing backend services and APIs, and managing SQL/NoSQL storage and cloud data lakes with CI/CD practices. Hybrid role in Naucalpan, Mexico.
Fintech Data Engineer — AI-Powered Pipelines on GCP
Data Engineer owning and scaling core financial data infrastructure (including SPEI workloads) by designing ETL/ELT pipelines with Python, Spark, and Airflow, optimizing MySQL/MongoDB queries, and driving Terraform-based GCP deployments with AI-driven automation.
Lead Data Engineer ON SITE in GDL
Lead Data Engineer role in Guadalajara building scalable data platforms and ETL/ELT pipelines using Python, Spark, SQL, and Databricks, combining hands-on engineering with technical leadership, mentoring, and architecture decisions.
Snowflake Data Engineer — Platform Architect (Hybrid)
Snowflake Data Engineer / Platform Architect to design, optimize, and secure a large-scale data platform using Snowflake, collaborating with Data Engineering and Analytics teams in a hybrid setup in Mexico City.
Lead Data Engineer — Databricks, Airflow & AWS
Lead Data Engineer designing and orchestrating enterprise-scale cloud analytical platforms, focusing on data flows, governance, and observability using Databricks and AWS.
Jr. Data Engineer
A Jr. Data Engineer building and maintaining ETL/ELT pipelines, data warehouses, and platform integrations using SQL and Python to support an audio/advertising media company's analytics ecosystem.
Data Engineer - Snowflake
Data Engineer focused on Snowflake platform design, optimization, and governance at a fintech company, working on-site in Mexico City with SQL, Snowpipe, Snowpark, Streams, and Tasks.
Senior Data Engineer
Senior Data Engineer on the Data Consumption team at JLL, designing and delivering data contracts and Delta Sharing across the Enterprise Data Platform using Databricks, Unity Catalog, and Azure data services.
On-Site Lead Data Engineer - Cloud Pipelines & Databricks
Lead Data Engineer designing scalable on-prem and cloud data platforms, developing pipelines with Python, PySpark, SQL, and Databricks, while mentoring the team and shaping data strategy.
Data Engineer: Scale ETL Pipelines & Analytics Platforms
Data Engineer developing and maintaining ETL pipelines, datasets, and analytics tooling using SQL, Python, cloud data warehouses, and orchestration tools to power campaign insights, attribution, and reporting.
Data Engineer
The Data Engineer will manage, optimize, and scale albo's financial data infrastructure, including the SPEI payment system. The role involves building ETL pipelines, managing hybrid databases, and leveraging AI tools to automate tasks and optimize performance on Google Cloud Platform.
Data Engineer
Data Lead role designing, orchestrating, and evolving enterprise-scale data platforms and analytical ecosystems on Databricks and AWS, including CI/CD pipelines, data governance, and observability.
Data Engineer Lead
Lead Data Engineer building scalable, cloud-native data platforms and ETL/ELT pipelines on big data ecosystems like Databricks, Spark, and Hadoop for a global IT services provider.
Senior Data Engineer ID86297
Senior Data Engineer modernizing a legacy data warehouse into a Databricks Lakehouse, building batch and streaming pipelines with PySpark and Delta Lake using a medallion architecture.
Middle Data Engineer ID86295
Modernizes a 15-year-old data warehouse into a Databricks Lakehouse by designing and maintaining batch/streaming pipelines with PySpark, Delta Lake, and medallion architecture. Uses AI tools like Claude and GitHub Copilot for development acceleration.