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 (Architect) - 1895
Designs and optimizes data architectures for a global tech firm, transitioning legacy systems into scalable, high-performance data ecosystems using SQL, Python, and cloud warehousing.
Senior Data Engineer (Azure)
Build and optimize Azure-based data pipelines and warehouses, using SQL, Azure Synapse, and Power BI to deliver clean, governed data for reporting and analytics.
Data Engineer — Build Scalable Pipelines & ETL Solutions
Designs, builds, and maintains scalable data pipelines and ETL solutions to improve data quality and support business needs.
Solution Data Engineer Sr.
Senior role managing Databricks environments, Delta Lake tables, and multi-cloud data pipelines using Python, SQL, and PySpark for reliable data delivery.
Data Engineer - Remote, Flexible Hours, Growth
Build and optimize AWS-based data pipelines to support business intelligence projects for clients across the Americas.
Data Engineer (SAP BODS)
Design and maintain ETL workflows using SAP BODS, build scalable data pipelines, and optimize SQL/Teradata queries for data transformation and migration.
Azure Data Engineer - Remote, Latin America
Design and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to move and transform data for analytics and reporting.
Ingeniero de datos (Data Engineer)
Build and maintain ETL pipelines to move and transform large financial datasets in the cloud, using Oracle, MySQL, Airflow, and APIs.
Software & Data Engineer (Remote - Latin America)
Build data pipelines, AI tools, and cloud infrastructure for clients using Python, SQL, and cloud platforms like Snowflake and AWS/GCP/Azure.
Data Engineer L6 (Architect)
Senior Data Engineer designs, builds, and optimizes large-scale AWS data pipelines and architectures, leading strategic client engagements and mentoring teams.
Data Engineer Specialist (Queretaro)
Builds and maintains data pipelines and ingestion frameworks in a data lake, using Databricks/Spark and SQL to support Power BI reporting and ensure regulatory compliance.
Azure Data Engineer | Hybrid Role: Pipelines & Lakehouse
Designs and builds Azure-based data pipelines and lakehouse solutions using ETL/ELT workflows and SQL.
Data Engineer: Diseña Pipelines y DataOps en la Nube
Designs and builds scalable data pipelines on Google Cloud Platform using advanced SQL and DataOps practices to enable enterprise analytics.
Software enginner | Data Engineer
Build and maintain data pipelines, cloud data warehouses, and RESTful APIs using Python, GCP, and FastAPI/Flask to support scalable data-driven applications.
Azure Data Engineer: Build Scalable Pipelines & Governance
Design and optimize Azure-based data pipelines using PySpark, SQL, and Databricks, and warehouse data in Snowflake while enforcing governance standards.
Data Engineer Junior - Nube, Pipelines y ML
Build and deploy data pipelines in Google Cloud to industrialize ML models, collaborating with data scientists to automate analytics and integrate them into business processes.
IT Data Engineer II MXT
Designs and optimizes data pipelines, ETL processes, and SQL-based data models for analytics, using big data tech and cloud resources.
Data Engineer Specialist (Queretaro)
Builds and maintains data pipelines and ETL workflows in a data lake, using Databricks, Spark, and SQL to ingest and transform structured, semi-structured, and unstructured data for reporting.