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Data engineer id52278

Villar del Arzobispo
AgileEngine
Publicada el 28 abril
Descripción

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
Puede obtener más detalles sobre la naturaleza de esta vacante y lo que se espera de los solicitantes leyendo la información a continuación.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
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 xhfqzwm to detail and qualityStrong 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
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