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Join to apply for the Backend Engineer (Senior) ID44883 role at AgileEngine. 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 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 Senior Backend Engineer, you’ll drive the development of scalable, high‑performance systems that power data‑driven insights and revenue growth. You’ll lead efforts to optimize databases, build efficient back‑end solutions, and ensure reliability across data‑intensive workflows. This role offers the opportunity to shape technical strategy, collaborate with cross‑functional experts, and contribute to innovative solutions at the intersection of data engineering and software development. What You Will Do Lead the design and optimization of databases to improve performance, scalability, and efficiency, with a strong focus on query optimization, indexing strategies, and data architecture best practices. Build and maintain efficient, scalable back‑end systems to handle high data volumes, prioritizing the optimization of revenue‑driving features. Design, develop, test, and maintain software applications with an emphasis on performance, reliability, and scalability. Write clean, modular code following Object‑Oriented Programming (OOP) principles, with proficiency in Python. Work closely with cross‑functional teams to translate high‑level concepts into actionable, effective software solutions. Design and implement event‑driven processes to improve data flow, responsiveness, and scalability across systems. Must Haves 4+ years of experience with Python. Hands‑on experience building tools using Streamlit for Snowflake. Strong knowledge of SQL and experience working with Snowflake. Experience with dbt (data build tool) for data transformation and modeling. Upper‑intermediate English level. Nice to Haves Background in data analytics. Exposure to or hands‑on experience with AI/ML frameworks or integrations. Perks and Benefits Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation: We match your ever‑growing skills, talent, and contributions with competitive USD‑based compensation and budgets for education, fitness, and team activities. A selection of exciting projects: Join projects with modern solutions development and top‑tier clients that include Fortune 500 enterprises and leading product brands. Flextime: Tailor your schedule for an optimal work‑life balance, with options to work from home or in the office to best suit your productivity. #J-18808-Ljbffr
