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.
#J-18808-Ljbffr
Similar jobs
MLabs ( Shanghai ) 14 days ago

Data Engineer - SQL (Remote)

Apply Now
Back to search page