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Data engineer id52278

AgileEngine, LLC.
Publicada el 6 mayo
Descripción

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 to detail and quality;
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;

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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