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
Remote Hive Data Engineer: Flexible Hours
Design and optimize Apache Hive SQL-based data warehouse solutions on Hadoop, tuning queries and managing data partitioning for enterprise-scale integrity.
Remote Data Engineer: Cloud Pipelines & SQL Expert
Design, build, and maintain cloud-based data pipelines for analytics using SQL, Python, and Looker, ensuring reliable data delivery and collaboration with analysts.
Remote NiFi Data Engineer: Ingestion & Pipelines
Design and build Apache NiFi data ingestion and routing pipelines for high-throughput, low-latency delivery in remote-first environments.
Remote Big Data Engineer — Spark, Hadoop, Scale
Designs and maintains scalable big-data platforms using Hadoop, Spark, NiFi, and Kafka to process and structure global data streams on Linux clusters.
Databricks Data Engineer - Remote, Growth & Impact
Build and scale data pipelines on Databricks using PySpark, SQL, and reusable ingestion engines while ensuring data quality in a collaborative, remote-friendly environment.
Remote Palantir Foundry Data Engineer
Design and build scalable Palantir Foundry data pipelines and ontologies, turning raw enterprise data into actionable insights for critical decision-making.
Remote Geospatial Data Engineer: Build Spatial Pipelines
Design and build automated ETL pipelines for geospatial datasets like satellite imagery and GPS data, using PostGIS and GeoParquet to ensure data quality and support spatial modeling.
Remote Data Engineer: Cloud ETL & Analytics
Builds cloud-based ETL/ELT pipelines and optimizes data models using Python, SQL, Snowflake, and BigQuery to support analytics.
Senior Data Engineer — ETL/Python, Remote (Mexico)
Designs and builds ETL/ELT pipelines in Python and BigQuery to process and transform data for analytics and reporting.
Remote Cloud Data Engineer — Azure, Fabric & Databricks
Design and implement Microsoft Azure Data & AI solutions using Azure Databricks and PySpark for clients.
Remote Senior Data Engineer - Redshift Analytics Lead
Lead the build-out of a Redshift-based analytics platform, migrating PostgreSQL workloads and optimizing performance for fast, auditable, and scalable reporting.
Senior Data Engineer — Snowflake Data Platform (Remote LATAM)
Build and optimize scalable Snowflake-based data pipelines, own data models and governance, and integrate cloud-native apps while collaborating across North and Latin America teams.
Senior Data Engineer — Remote, Scale Data Warehouse & BI
Senior Data Engineer builds and scales BigQuery/dbt pipelines and BI dashboards to deliver analytics-ready datasets for reporting and insights.
Remote Senior Data Engineer: ETL & Redshift Architect
Design and maintain large-scale data pipelines and Redshift infrastructure to integrate raw data sources with analytical systems, ensuring data quality and reliability for data-driven decisions.
Delta Lake Data Engineer — Remote, Flexible Hours & Growth
Designs scalable Delta Lake data architectures with ACID transactions and time-travel queries, building ETL/ELT pipelines using Spark and Parquet storage.
Remote SAP Data Engineer - Flexible Hours & Growth
Design and maintain SAP-native data pipelines for enterprise analytics, integrating ECC/S/4HANA with BW/4HANA, Datasphere, and HANA to build automated ETL/ELT workflows.
Data Engineer Advisor at NTT DATA, Inc. Mexico
Designs and maintains scalable data pipelines and ETL/ELT processes, integrating multi-source data into centralized platforms and ensuring high data quality for analytics.