Data Engineer ID52278

AgileEngine; Puebla de Zaragoza; Híbrido; MXN 1.204.404 - 1.548.520; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth through mentorship

Competitive USD-based compensation

Exciting projects with top companies

Flexible schedule with remote options

Descripción de la vacante

AgileEngine is seeking a Data Engineer to design and scale high-performance ELT pipelines that power a centralized data warehouse. In this role, you will collaborate with cross-functional teams to ensure data quality and performance.

You'll have responsibilities that include building scalable systems and mentoring team members, along with opportunities for professional growth and competitive compensation.

Formación

• 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.

Responsabilidades

• Design, build, and optimize high-volume ELT pipelines for a centralized data warehouse.
• Collaborate with teams to define scalable and secure data platform architecture.
• Own key data warehouse components including development and monitoring.

Conocimientos

Data Engineering

SQL

Python

Data Warehousing

Distributed Systems

Communication Skills

Herramientas

PostgreSQL

Kubernetes

AWS

DBT

Redshift

Descripción del empleo

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: Flexible schedule with remote and office options.