Big Data Engineer in Mexico at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Big Data Engineer in Mexico.

You will join a global, collaborative engineering environment where data is at the core of decision-making and product innovation. In this role, you will design and maintain scalable data pipelines that enable reliable access to large volumes of structured and unstructured data. You will work closely with data scientists, analysts, and engineering teams to transform business requirements into robust technical solutions. The position involves hands-on work with modern cloud and big data technologies, ensuring data quality, integrity, and performance across systems. You will play a key role in optimizing data architecture, improving processing efficiency, and enabling advanced analytics capabilities. This is a highly technical and impact-driven role within a distributed, international team where engineering excellence and continuous improvement are strongly valued.

• Design, build, and maintain scalable data pipelines and ETL processes to ensure efficient and reliable data flow from multiple sources into data storage and analytics systems.
• Collaborate with data scientists, analysts, and cross-functional stakeholders to translate business requirements into technical data solutions.
• Develop and implement data models and database structures to optimize storage, retrieval, and performance.
• Ensure data quality, validation, and integrity through robust monitoring and verification processes.
• Monitor, troubleshoot, and optimize data systems and pipelines to resolve issues, bottlenecks, and performance inefficiencies.
• Maintain clear and comprehensive documentation of data processes, systems, and engineering best practices.
• Stay up to date with emerging data engineering technologies and propose improvements to enhance infrastructure and system capabilities.

• Proven experience as a Big Data Engineer or Data Engineer in production environments.
• Strong experience with Google Cloud Platform (GCP) and big data processing frameworks such as Apache Spark.
• Solid programming skills in at least one language such as Python, Java, or Scala.
• Strong knowledge of SQL and experience with relational databases such as MySQL or PostgreSQL.
• Experience in data modeling, database design principles, and data architecture.
• Familiarity with ETL tools, workflows, and data integration processes.
• Understanding of data warehousing concepts and distributed data systems.
• Strong analytical and problem-solving skills with high attention to detail.
• Ability to work independently as well as collaboratively in international, cross-functional teams.
• Strong communication skills in English (conversational level required for global collaboration).

• Competitive salary aligned with experience and market standards.
• Opportunity to work in a global, multicultural engineering environment.
• Remote or hybrid flexibility depending on project requirements.
• Exposure to modern cloud-based data engineering technologies and large-scale systems.
• Continuous learning and professional development opportunities.
• Collaborative and innovation-driven work culture.
• Participation in impactful projects involving large-scale data ecosystems.