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
Data Engineer
Data Engineer IV designing, building, and maintaining ETL/ELT pipelines, dimensional models, and Neo4j graph database solutions (Cypher) to enable reliable, scalable data for business analytics and decision-making.
Senior Data Governance Analyst
Senior Data Analyst maintaining data quality and supporting data engineering at a healthcare communications company, primarily writing SQL, building procedures, and ensuring data correctness across Snowflake, PostgreSQL, and AWS-based ecosystems.
Senior Manager, Data Engineering
Leads a data engineering department, translating business problems into data-driven solutions, designing pipelines, and developing code for data transformation and integration. Core technologies include SQL, Java, Python, and data modeling tools like Erwin.
Data Platform Engineering Lead
Lead the architecture and management of enterprise-scale cloud-native data platforms using Databricks, AWS, Terraform, and dbt to support Asset Management analytics, reporting, and compliance functions.

Data Engineer
Build and maintain robust data pipelines and cloud architectures to ensure reliable, high-quality data flows that power business decisions in a fintech setting.
Data Engineer Sr
A Senior Data Engineer builds and optimizes large-scale ETL/ELT pipelines on Hadoop and cloud platforms (Databricks/Snowflake) using PySpark, SQL, and orchestration tools to process and enable data-driven products.
Data Engineer Lead
Lead Data Engineer designing and building scalable cloud-native data platforms and ETL/ELT pipelines, mentoring engineers, and supporting data governance using Python, Spark, Hadoop, Databricks, Snowflake, and Airflow.
Senior AWS Data Engineer
Build and maintain scalable AWS data pipelines using Python, PySpark, and Glue, then optimize Redshift warehouses and S3 lakes for analytics and reporting.
Data Engineer
Designs, builds, and optimizes scalable data pipelines and cloud solutions to enable analytics, BI, and data science initiatives using multi-cloud tools like Azure Data Factory, BigQuery, and Pub/Sub.
206238 - ETL/Data Engineer
ETL Developer for a banking client (BBVA), building and maintaining complex ETL processes using Informatica PowerCenter, Oracle SQL, Unix/Linux shell scripts, and Java microservices in a hybrid role in Mexico City.
Big Data Engineering Lead
Big Data Engineering Lead responsible for technical leadership of a Data Foundation platform, building and maintaining enterprise data pipelines, data products, and data services. Core technologies include Python, PySpark, SQL, and ETL/ELT architecture patterns.
Data Engineer (Azure)
Overview You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally. Responsibilities Develop,…
Oliver Wyman - Associate Data Governance Analyst - Mexico City
Support firm-wide Data Governance and Data Quality initiatives at Oliver Wyman (Marsh) in Mexico City by maintaining core datasets, running data quality checks, root-cause analysis, and collaborating with stakeholders on data standards and documentation.
Senior Data Platform Engineer — Global Health Impact Hybrid
Design and scale data infrastructure, build secure data pipelines with Airflow, Snowflake, and DBT, and ensure data is well-structured/governed for analysis, reporting, and sharing.