ABOUT THE ROLE
As a Data Engineer, you will design and scale high-performance ELT pipelines that power a centralized data warehouse and enable reliable, data-driven decision-making across the organization.
You'll collaborate closely with cross-functional teams to build a robust, scalable data platform, ensuring data quality, accessibility, and performance.
This role offers strong ownership, architectural influence, and the opportunity to shape data systems, best practices, and a growing data-driven culture.
WHAT YOU WILL DO
Design, build, and optimize high-volume, high-performance ELT pipelines for a centralized data warehouse;
Collaborate with Product, ML Engineers, Data Scientists, and DevOps to define scalable and secure data platform architecture;
Own key data warehouse components including development, deployment, monitoring, and continuous improvement;
Provide technical leadership through data architecture reviews and system design discussions;
Contribute to engineering culture and data-driven best practices;
Support internal and external stakeholders with a focus on data accessibility and usability;
Mentor team members and participate in hiring processes.
MUST HAVES
5+ years of experience in data engineering building scalable systems and pipelines;




Expert proficiency in SQL and strong coding skills in Python ;
Hands-on experience with data warehousing, data lakes, and large-scale data systems ;
Strong understanding of computer science fundamentals (data structures, algorithms, distributed systems) ;
Solid understanding of distributed system architecture focusing on availability, reliability, and performance;
Strong focus on execution and product delivery;
Exceptional attention to detail and quality;
Strong communication skills;
Ability to mentor and support other engineers;
Leadership mindset with ability to take initiative and deliver results;
Comfort working in a fast-paced, evolving environment;
Familiarity with Python, Django, Kubernetes, PostgreSQL, DBT, Redshift, AWS;
Upper-intermediate English level .
PERKS AND BENEFITS
Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
Exciting projects: Modern solutions with Fortune 500 and top product companies.
Flextime: Adaptable schedule with remote and office options.
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📌 Data Engineer Id52278 (Santiago de Querétaro)
🏢 Agileengine
📍 Santiago de Querétaro