Top Data Engineer Jobs in Mexico

Design, operate, and scale Elasticsearch clusters and relational databases to support large-scale ingest and low-latency hybrid search. Implement vector/semantic retrieval and ranking (RRF), optimize indexing and query performance, improve observability and reliability, and partner with data teams to shape long-term data and search architecture.

The Data Engineer will design, build, and maintain large-scale web scraping and data ingestion pipelines, optimizing performance and ensuring data quality. Responsibilities include collaborating with teams, managing data systems, and enhancing monitoring and documentation.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The Data Engineer II designs, builds, and maintains data pipelines and infrastructure, focusing on cloud technologies for analytics and machine learning.

The Clinical Data Engineer leads the design and validation of data science programming solutions for clinical trials, ensuring data accuracy and providing analytical insights while mentoring a programming team.

Design and build scalable data systems that process product signals for analytics and AI models. Collaborate with cross-functional teams to improve data infrastructure.

Build and maintain reliable, machine-readable datasets and data pipelines. Collaborate with data scientists and architects, create analytics tools and data products, translate business needs into requirements, and provide technical guidance and mentoring.

Design, build, and maintain data pipelines and infrastructure for data initiatives. Collaborate with teams to ensure data availability and integrity, documenting processes and providing mentorship.

Design, build, and maintain AWS-based data ingestion, transformation (dbt/SQL), and delivery pipelines; orchestrate workflows with Airflow; implement serverless components (Lambda); ensure data quality, observability, and documentation to support analytics, BI, and downstream applications.

Lead and mentor a data engineering team to design, build, and optimize scalable cloud data solutions on Azure. Oversee architecture, code quality, CI/CD, data governance, security, and project delivery while collaborating with stakeholders and resolving complex technical issues.

The Data Engineer will develop and automate analytical models for commodity analytics, collaborate with teams, manage datasets, and implement advanced solutions to enhance data quality and governance.

Design, develop, and maintain data pipelines using Databricks and Apache Spark, integrate data from various sources, and collaborate with team members to deliver solutions.

Lead design and implement scalable Spark and Flink data solutions for an IoT platform: build query grammar/validator, generate optimized Spark execution plans, ensure parity between batch and stream, manage Azure/Databricks resources, enforce data governance, and participate in Agile processes.

Design, build, and optimize scalable Databricks data pipelines and reporting models. Ensure data quality, create performant Jinja-templated SQL transformations, support CI/CD with GitHub/Jenkins, and collaborate with stakeholders to deliver actionable BI insights focused on advertising and billing data.

Lead design, build, and maintain Flink-based real-time streaming pipelines for IoT sensor data on Azure. Implement stateful processing, custom ProcessFunctions, data quality gates, optimize state backends, integrate with shared libraries, manage Flink clusters and Azure resources, and enforce data governance and CI/CD practices within Agile teams.

Develop and maintain tools for data processing, deliver solutions for business needs, improve user experiences, and automate communication workflows.

Design, build, and operate scalable AWS data platforms and pipelines (batch/streaming) for analytics and ML. Implement data ingestion, transformation, governance, knowledge graphs, monitoring, and secure access. Optimize architectures, build tooling and dashboards, integrate enterprise systems, and collaborate cross-functionally to ensure data quality, lineage, and maintainability.

Develop data acquisition strategies, engineer file parsers, architect data models, create visualizations and dashboards, and communicate technical solutions effectively.

The Azure Data Engineer will design data pipelines, develop SQL queries, optimize Azure solutions, ensure data quality, and collaborate with teams to deliver solutions.

Design and maintain data integration solutions using Microsoft Fabric, develop ETL processes, collaborate with stakeholders, and ensure data quality.

The role involves designing data governance frameworks, enforcing data quality rules, managing data architectures, and ensuring data security on GCP platform.

The Data Engineer will analyze business data stories and translate them into technical designs, focusing on building and implementing data products with minimal guidance.

Design and maintain data ingestion frameworks using AWS technologies, ensuring integration with Snowflake, and collaborating across teams for project delivery.

Design, build, and maintain data pipelines, optimize existing ETL processes, and collaborate with teams to deliver structured datasets and support analytics initiatives.

Support stability and operational effectiveness of platforms, participate in incident response, enhance automation, and collaborate with global teams.