Data Engineer ID52278

Job Description 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.

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; - 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.

Requirements 5+ years of professional data engineering experience building scalable data systems and pipelines. Expert proficiency in SQL and strong coding skills in Python. Deep, hands-on experience with Data Warehousing design, building and managing large data lakes and warehouses. Strong computer science fundamentals, particularly in data structures, algorithms, and distributed systems, based on a degree in Computer Science or distinctive work experience. Solid understanding of distributed system architecture, focusing on data availability, reliability and performance. Strong focus on execution and delivery of the product. Exceptional attention to detail and focus on quality and long-term goals. Strong communication skills. A demonstrated ability to provide guidance, mentorship, and support. A leadership mindset. You take initiative, make decisions and deliver results consistently. Comfortable working in a fast-paced, evolving environment where learning and adaptability are key. Familiarity with the stack is strongly preferred but not required.